text:
@article{BRADSHAW20081894,
title = "Decline in whale shark size and abundance at Ningaloo Reef over the past decade: The world’s largest fish is getting smaller",
journal = "Biological Conservation",
volume = "141",
number = "7",
pages = "1894 - 1905",
year = "2008",
note = "",
issn = "0006-3207",
doi = "http://dx.doi.org/10.1016/j.biocon.2008.05.007",
url = "http://www.sciencedirect.com/science/article/pii/S0006320708001791",
author = "Corey J.A. Bradshaw and Ben M. Fitzpatrick and Craig C. Steinberg and Barry W. Brook and Mark G. Meekan",
keywords = "Australia",
keywords = "Decline",
keywords = "Exploitation",
keywords = "",
keywords = "Size reduction",
keywords = "Whale shark",
abstract = "Over-exploitation of whale sharks threatens the future of these wide-ranging pelagic fish. A long-term continuous record (4436 sightings) from a large aggregation (300–500 resident individuals) of whale sharks at Ningaloo Reef, Western Australia shows that mean shark length declined linearly by nearly 2.0m and relative abundance measured from ecotourism sightings (corrected for variation in search effort and environmental stochasticity) has fallen by approximately 40% over the last decade. This population-level result confirms previous predictions of population decline based on projection models parameterised using mark-recapture estimates of survival. The majority of these changes are driven by reductions in the number of large individuals in the population. Phenomenological time series models support a deterministic (extrinsic) decline in large females, although there was some evidence for density dependence in large males. These reductions have occurred despite the total protection of whale sharks in Australian waters. As this species is highly migratory, the rapid change in population composition over a decade (<1 whale shark generation) supports the hypothesis of unsustainable mortality in other parts of their range (e.g., overfishing), rather than the alternative of long-term abiotic or biotic shifts in the environment. As such, effective conservation of whale sharks will require international protection, and collaborative tagging studies to identify and monitor migratory pathways."
}
@incollection{Kirstein20131,
title = "1 - The future of smart-textiles development: new enabling technologies, commercialization and market trends ",
editor = "Kirstein, Tünde ",
booktitle = "Multidisciplinary Know-How for Smart-Textiles Developers ",
publisher = "Woodhead Publishing",
edition = "",
address = "",
year = "2013",
pages = "1 - 25",
series = "Woodhead Publishing Series in Textiles",
isbn = "978-0-85709-342-4",
doi = "https://doi.org/10.1533/9780857093530.1",
url = "http://www.sciencedirect.com/science/article/pii/B9780857093424500018",
author = "T. Kirstein",
keywords = "enabling technologies",
keywords = "trends in development",
keywords = "commercialization ",
abstract = "Abstract: Smart-textiles development is entering a new era that is characterized by the convergence of different disciplines, such as electronics and polymer sciences. This chapter begins by reviewing the challenges in smart-textiles development and illustrating current trade-offs. Then, the chapter gives an overview of recent technological breakthroughs and shows how new enabling technologies from different disciplines help to overcome technological barriers. Finally, the chapter describes new approaches to the commercialization of smart textiles and reveals potential topics that will shape the future of smart textiles. "
}

@incollection{tagkey201431,
title = "2 - Classification schemes for general collections ",
editor = "Batley, Sue ",
booktitle = "Classification in Theory and Practice ",
publisher = "Chandos Publishing",
edition = "",
address = "Oxford",
year = "2014",
pages = "31 - 86",
isbn = "978-1-84334-785-9",
doi = "https://doi.org/10.1533/9781780634661.31",
url = "http://www.sciencedirect.com/science/article/pii/B9781843347859500028",
key = "tagkey201431",
keywords = "Dewey Decimal Classification",
keywords = "enumerative classification",
keywords = "Library of Congress Classification",
keywords = "notation building ",
abstract = "Abstract: This chapter focuses upon the two most popular classification schemes for general libraries: Dewey Decimal Classification and Library of Congress Classification. Both schemes are examined in depth, with sections on their subject coverage and their use. Illustrative examples are provided throughout and exercises are included to aid in the development of practical classification skills. "
}

@incollection{Clobridge2013167,
title = "11 - The digital curation toolkit: strategies for adding value to work-related social systems ",
editor = "Baker, David and ,  and Evans, Wendy ",
booktitle = "Trends, Discovery, and People in the Digital Age ",
publisher = "Chandos Publishing",
edition = "",
address = "",
year = "2013",
pages = "167 - 183",
series = "Chandos Digital Information Review",
isbn = "978-1-84334-723-1",
doi = "https://doi.org/10.1016/B978-1-84334-723-1.50011-5",
url = "http://www.sciencedirect.com/science/article/pii/B9781843347231500115",
author = "Abby Clobridge",
keywords = "descriptors",
keywords = "digital curation",
keywords = "digital curators",
keywords = "knowledge sharing",
keywords = "metadata",
keywords = "strategies",
keywords = "tagging",
keywords = "tags",
keywords = "user behaviour ",
abstract = "Abstract Since the mid-2000s, systems, applications, tools and websites that facilitate connecting, collaborating and information sharing – often referred to as ‘Web 2.0’ – have become the norm throughout much of the Internet. Users expect to be able to connect with information in ways that are different from what was typical in the early or pre-Internet world where people were restricted to playing the role of information consumer. This shift from passive consumption to active interaction has important implications in terms of information and knowledge management. These implications, particularly when applied to the work environment, have raised new challenges within information and knowledge management – challenges that are best addressed through the application of digital curation. Digital curation is a developing field within information science, situated at the intersection of information management, knowledge management, communication and technology. Digital curation work aims to add value and meaning to digital content. "
}

@incollection{tagkey2011167,
title = "Chapter 8 - Correlation ",
editor = "Resmini, Andrea and ,  and Rosati, Luca ",
booktitle = "Pervasive Information Architecture ",
publisher = "Morgan Kaufmann",
edition = "",
address = "Boston",
year = "2011",
pages = "167 - 191",
isbn = "978-0-12-382094-5",
doi = "https://doi.org/10.1016/B978-0-12-382094-5.00008-3",
url = "http://www.sciencedirect.com/science/article/pii/B9780123820945000083",
key = "tagkey2011167",
keywords = "information architecture",
keywords = "correlation",
keywords = "hyperlinking",
keywords = "frenzy of orlando",
keywords = "pulp fiction",
keywords = "metanarrative",
keywords = "medicine",
keywords = "broad street pump",
keywords = "pervasive information architecture",
keywords = "information silos ",
abstract = "Correlation is the capability of a pervasive information architecture to suggest relevant connections between pieces of information, services, and goods to help users achieve explicit goals or stimulate latent needs. In physical/digital ubiquitous ecologies it is necessary to empower correlation in-channel and across channels and to integrate the social and information layers – using user-generated and object-generated to enhance alternative classification or exploration models. The chapter details several examples of how correlation enhances user experience and comprehension, ranging from fiction to medicine to society. A final case study illustrates how lack of correlation might compromise the efficiency of customer care services. Publisher Summary This chapter highlights the correlation, which is the capability of a pervasive information architecture to suggest relevant connections between pieces of information, services, and goods to help users achieve explicit goals or stimulate latent needs. In physical/digital ubiquitous ecologies it is necessary to empower correlation in-channel and across channels and to integrate the social and information layers—using user-generated and object-generated to enhance alternative classification or exploration models. The chapter also details technology and technologically enhanced human networks that are actively increasing the amount of data that is produced, received, processed, and transmitted. Several examples of how correlation enhances user experience and comprehension, ranging from fiction to medicine to society are also explained. A final case study illustrates how lack of correlation might compromise the efficiency of customer care services. "
}

@incollection{tagkey2011195,
title = "Chapter 9 - Designing Cross-channel User Experiences ",
editor = "Resmini, Andrea and ,  and Rosati, Luca ",
booktitle = "Pervasive Information Architecture ",
publisher = "Morgan Kaufmann",
edition = "",
address = "Boston",
year = "2011",
pages = "195 - 230",
isbn = "978-0-12-382094-5",
doi = "https://doi.org/10.1016/B978-0-12-382094-5.00019-8",
url = "http://www.sciencedirect.com/science/article/pii/B9780123820945000198",
key = "tagkey2011195",
keywords = "CHU",
keywords = "cross-channel",
keywords = "ecology",
keywords = "Flatland",
keywords = "heuristics",
keywords = "information architecture axes",
keywords = "pervasive information architecture",
keywords = "retail design",
keywords = "service design",
keywords = "ubiquitous",
keywords = "user experience ",
abstract = "Pervasive information architectures thrive on the balance of a horizontal and vertical axis, which provide a uniquely tension between local precision and global imprecision for building successful cross-channel user experiences. This chapter introduces a few methodological remarks on the way the five heuristics relate to the design process and compares the move into ubiquitous ecologies as the move from 2D to 3D, which is described in Flatland. Finally, the design methodology is expanded and explained extensively while being applied to the design of a supermarket as a new cross-channel, pervasive ecology. Two contributed case studies conclude the chapter. Publisher Summary This chapter introduces a few methodological remarks on the way the five heuristics relate to the design process and compares the move into ubiquitous ecologies as the move from 2D to 3D, which is described in Flatland. Pervasive information architectures thrive on the balance of a horizontal and vertical axis, which provide a uniquely tension between local precision and global imprecision for building successful cross-channel user experiences. The chapter also summarizes the key concept behind the idea of pervasive information architecture. If place-making is essential to making people stay and feel comfortable, and consistency, resilience, and reduction help people make sense of what they have around, correlation is the backbone of the horizontal axis, the one that conceptually makes the process one single, flowing layer. Finally, the design methodology is expanded and explained extensively while being applied to the design of a supermarket as a new cross-channel, pervasive ecology. "
}

@incollection{Baykoucheva201543,
title = "6 - Science information literacy and the role of academic librarians ",
editor = "Baykoucheva, Svetla ",
booktitle = "Managing Scientific Information and Research Data ",
publisher = "Chandos Publishing",
edition = "",
address = "",
year = "2015",
pages = "43 - 63",
isbn = "978-0-08-100195-0",
doi = "https://doi.org/10.1016/B978-0-08-100195-0.00006-8",
url = "http://www.sciencedirect.com/science/article/pii/B9780081001950000068",
author = "Svetla Baykoucheva",
keywords = "information literacy",
keywords = "bibliographic management",
keywords = "EndNote",
keywords = "Mendeley",
keywords = "Zotero",
keywords = "reference management",
keywords = "citation management",
keywords = "academic librarians",
keywords = "reskilling. ",
abstract = "Abstract Teaching information literacy is a major responsibility for subject/liaison librarians, but advances in information-retrieval systems, such as improved natural language searching and Semantic Web, could significantly change the role librarians play in this area. This chapter examines the future of information literacy and how librarians could redefine their role by expanding it to include management of scientific information and research data, different instruction formats, and new approaches for assessing student learning. This will make library instruction a much more appealing, engaging, and useful experience for students and researchers. Responding to the needs of a generation born into a digital culture will require that librarians learn new skills and play new roles in supporting the educational and research goals of their institutions be redefined. "
}

@incollection{Berube201135,
title = "3 - Do you Web 2.0? A round-up of Web 2.0 in public libraries ",
editor = "Berube, Linda ",
booktitle = "Do You Web 2.0? ",
publisher = "Chandos Publishing",
edition = "",
address = "",
year = "2011",
pages = "35 - 72",
isbn = "978-1-84334-436-0",
doi = "https://doi.org/10.1016/B978-1-84334-436-0.50003-4",
url = "http://www.sciencedirect.com/science/article/pii/B9781843344360500034",
author = "Linda Berube"
}

@incollection{Vossen2007135,
title = "chapter 3 - Enabling Techniques and Technologies ",
editor = "Vossen, Gottfried and ,  and Hagemann, Stephan ",
booktitle = "Unleashing Web 2.0 ",
publisher = "Morgan Kaufmann",
edition = "",
address = "San Francisco",
year = "2007",
pages = "135 - 204",
isbn = "978-0-12-374034-2",
doi = "https://doi.org/10.1016/B978-012374034-2.50004-6",
url = "http://www.sciencedirect.com/science/article/pii/B9780123740342500046",
author = "Gottfried Vossen and Stephan Hagemann",
abstract = "Publisher Summary This chapter focuses on some of the most prominent technical mechanisms, including Rich Internet Applications (RIAs), tagging, and mash-ups, that are commonly attributed to Web 2.0 developments and in particular to Web 2.0 services. \{RIAs\} can be built using several Web development frameworks. \{RIAs\} exist for a broad variety of functions (e.g., for personal information management or for office applications including the writing of documents or the execution of spreadsheet calculations). These online applications allow for a kind of functionality and interactivity that have so far been exclusively reserved for desktop applications; they can hence be considered as a materialization of the network computer (i.e., the “NC” as opposed to the PC, the personal computer) that had first been predicted in the mid-1990s. Several \{RIAs\} are described to show their characteristics. Mash-ups, roughly implement the idea of bringing multiple services or sources of content together in one place in order to form a new, often valued-added service. One example of mash-ups is Google Maps, a service from which map information can be obtained in order to mash it up, say, with textual address information in order to make it more lively and visual. Through tagging, i.e., user-generated keywords or metadata attachable to Web resources. This allows users to attach any number of keywords to an object or a Web resource, which could be an entire Web site, a photo, or a link. This is meant to ease their storing of and searching through these objects. "
}

@incollection{tagkey201487,
title = "3 - Classification schemes for specialist collections ",
editor = "Batley, Sue ",
booktitle = "Classification in Theory and Practice ",
publisher = "Chandos Publishing",
edition = "",
address = "Oxford",
year = "2014",
pages = "87 - 142",
isbn = "978-1-84334-785-9",
doi = "https://doi.org/10.1533/9781780634661.87",
url = "http://www.sciencedirect.com/science/article/pii/B978184334785950003X",
key = "tagkey201487",
keywords = "Bibliographic Classification",
keywords = "Colon Classification",
keywords = "faceted classification",
keywords = "London Classification of Business Studies",
keywords = "National Library of Medicine Classification",
keywords = "specialist classification schemes",
keywords = "Universal Decimal Classification ",
abstract = "Abstract: This chapter focuses on classification schemes that provide for the in-depth subject coverage suitable for specialist library collections. Universal Decimal Classification is examined, with sections on its subject coverage and use and practical exercises. The focus then shifts to fully faceted classification, with an examination of Colon Classification and Bliss Bibliographic Classification as examples of general faceted library classification schemes. This is followed by an overview of schemes created to organise specialist subject areas, with outlines of the London Classification of Business Studies and the National Library of Medicine Classification. The chapter concludes with a section on how to create a special classification scheme. "
}

@incollection{Inmon200889,
title = "Chapter 6 - Business Metadata Capture ",
editor = "Inmon, W.H. and , and O'Neil, Bonnie and ,  and Fryman, Lowell ",
booktitle = "Business Metadata ",
publisher = "Morgan Kaufmann",
edition = "",
address = "San Francisco",
year = "2008",
pages = "89 - 120",
isbn = "978-0-12-373726-7",
doi = "https://doi.org/10.1016/B978-012373726-7.50007-9",
url = "http://www.sciencedirect.com/science/article/pii/B9780123737267500079",
author = "W.H. Inmon and Bonnie O'Neil and Lowell Fryman",
abstract = "This chapter discusses the challenges of capturing business metadata directly from businesspeople. Examples of types of business metadata that require special capture mechanisms from businesspeople are as follows: •Business terms •Definitions of business terms •Linking of business terms to the data elements of one or more systems •Business rules •Optimal ways of performing the job (“knowledge artifacts”; knowledge encyclopedia entries) •Categorization (of business terms, documents, Web pages, etc.) Publisher Summary This chapter discusses the challenges of capturing business metadata directly from businesspeople. Examples of types of business metadata that require special capture mechanisms from businesspeople are business terms, definitions of business terms, linking of business terms to the data elements of one or more systems, business rules, optimal ways of performing the job (“knowledge artifacts”; knowledge encyclopedia entries), and categorization (of business terms, documents, web pages, etc.). The chapter begins by discussing why knowledge capture is so important. Business metadata, after all, exists for businesspeople to use, and it should reflect their point of view. There has to be a way (and a place) to capture their perspective so that it can be accessed by other businesspeople. This chapter attempts to define what the corporate knowledge base really is and how it represents this business point of view. Following this, the discussion extends to encourage businesspeople to share their valuable insights and information and presents various technologies that can support knowledge capture. In addition, the chapter covers the subject of capturing knowledge from both individuals and groups or communities of users. The interesting aspect of metadata or knowledge capture from individuals is the ability of the individual to directly benefit from this exercise. A special kind of stewardship called “Governance Lite” which presents one way to balance the need for some governance with knowledge capture requirements is explored. In the process, this chapter investigates some of the unique features of the knowledge capture culture as it pertains to governance. The role of publicity in encouraging people to share their valuable knowledge is also discussed. Individual knowledge capture is revisited, and practical ideas are presented to help one be more productive in capturing one's moments of brilliance and insight so one can remember them later. "
}

@incollection{Oxley20131,
title = "1 - Web 2.0 and social media ",
editor = "Oxley, Alan ",
booktitle = "Security Risks in Social Media Technologies ",
publisher = "Chandos Publishing",
edition = "",
address = "",
year = "2013",
pages = "1 - 32",
series = "Chandos Publishing Social Media Series",
isbn = "978-1-84334-714-9",
doi = "https://doi.org/10.1016/B978-1-84334-714-9.50001-2",
url = "http://www.sciencedirect.com/science/article/pii/B9781843347149500012",
author = "Alan Oxley",
keywords = "Web 2.0",
keywords = "participation–collaboration pattern",
keywords = "social networking",
keywords = "wikis",
keywords = "file-sharing",
keywords = "peer-to-peer architecture",
keywords = "social media ",
abstract = "Abstract: Some background material sets the scene. Technological evolution is not a new phenomenon. For example, dramatic changes in work practices must have resulted from the introduction of the telephone. Public service employees began making extensive use of the internet and the web in about 2000. One key development, dating from about 2009, is the desire by senior politicians for the public to become more involved with government through online interaction. Taken to its extreme, theoretically, all major decisions could be made by citizens effectively instantaneously, by online voting. The information technology that is the subject of this book is Web 2.0, which concerns the ability to share information on the web, for users, especially the general public, to collaborate. The significance of Web 2.0 is outlined, and the participation–collaboration pattern, the declarative living pattern and the tag gardening pattern are explained. Social media and social networking are briefly summarized. "
}

@incollection{tagkey20091,
title = "Chapter 1 - Trends in Enterprise E-discovery from the Corporate Perspective ",
editor = "Schuler, Karen and , and Peterson, Cathleen P. and ,  and Vincze, Eva ",
booktitle = "E-discovery: Creating and Managing an Enterprisewide Program ",
publisher = "Syngress",
edition = "",
address = "Boston",
year = "2009",
pages = "1 - 18",
isbn = "978-1-59749-296-6",
doi = "https://doi.org/10.1016/B978-1-59749-296-6.00001-8",
url = "http://www.sciencedirect.com/science/article/pii/B9781597492966000018",
key = "tagkey20091",
abstract = "Publisher Summary E-discovery is a broad and encompassing topic. The enhancements, improvements, and other changes in corporate best practices are emerging on a near daily basis. Major areas where corporations are looking at e-discovery and changes to its landscape include: focus on litigation preparedness, emergence of better enterprise searches, centralization of e-discovery activities and actions, insourcing the e-discovery review process, emergence of folksonomies, record accessibility and retention policies, centralization of e-discovery activities and actions, and complications from “e-discovery trolls.” In corporations worldwide, but especially in the United States, there is an increased focus on being prepared to respond to and vigorously defend matters surrounding pending litigation. Particularly with regard to the recently amended Federal Rules of Civil Procedure (FRCP) and the new requirements in e-discovery, counsel and companies are paying new attention to both how to avoid and how to respond to lawsuits. New enterprise search platform features are emerging to integrate with litigation support software to help corporations get their arms around their data. These platforms are offering advances such as conceptual search, automatic categorization, and advanced algorithms. E-discovery trolls are emerging and making up a newly significant threat to firms. This really hinges on the emergence of the new \{FRCP\} code as it pertains to e-discovery. Folksonomic tagging allows users to create their own tags, which are freely chosen and not part of a strictly controlled vocabulary. This type of social tagging is sure to make e-discovery search and review efforts easier. The spiraling costs of e-discovery are prompting more corporate legal teams—the in-house counsel—to do more e-discovery work in-house. Another trend for e-discovery in the coming few years is automated review. "
}

@incollection{Miguel201725,
title = "Chapter 3 - Trustworthiness for secure collaborative learning ",
editor = "Miguel, Jorge and Caballé, Santi  and Xhafa, Fatos ",
booktitle = "Intelligent Data Analysis for e-Learning ",
publisher = "Academic Press",
edition = "",
address = "Boston",
year = "2017",
pages = "25 - 48",
series = "Intelligent Data-Centric Systems",
isbn = "978-0-12-804535-0",
doi = "https://doi.org/10.1016/B978-0-12-804535-0.00003-4",
url = "http://www.sciencedirect.com/science/article/pii/B9780128045350000034",
author = "Jorge Miguel and Santi Caballé and Fatos Xhafa",
keywords = "Trustworthiness",
keywords = "Methodologies",
keywords = "P2P assessment",
keywords = "Collective intelligence",
keywords = "Knowledge management",
keywords = "Learning analytics ",
abstract = "Abstract This chapter reviews trustworthiness and technological security approaches that are closely related to online collaborative learning and networking as they can be combined with the aim of fulfilling information security (IS) requirements for e-Learning participants and designers. The chapter first reviews the main works in the literature on security in computer-supported collaborative learning (CSCL), illustrates how trustworthiness is related to security, discusses suitable trustworthiness methodologies, and investigates knowledge management (KM) and learning analytics (LA) for trust and security in e-Learning. Finally, we focus on security and trustworthiness approaches related to peer-to-peer e-Assessment models. "
}

@incollection{tagkey2014143,
title = "4 - Classifying digital resources ",
editor = "Batley, Sue ",
booktitle = "Classification in Theory and Practice ",
publisher = "Chandos Publishing",
edition = "",
address = "Oxford",
year = "2014",
pages = "143 - 171",
isbn = "978-1-84334-785-9",
doi = "https://doi.org/10.1533/9781780634661.143",
url = "http://www.sciencedirect.com/science/article/pii/B9781843347859500041",
key = "tagkey2014143",
keywords = "collaborative classification",
keywords = "folksonomies",
keywords = "needs analysis",
keywords = "ontologies",
keywords = "subject trees",
keywords = "tagging",
keywords = "tag clouds",
keywords = "task analysis",
keywords = "taxonomies",
keywords = "thesaurus construction",
keywords = "user-centred design",
keywords = "user models",
keywords = "vocabulary control",
keywords = "web directories ",
abstract = "Abstract: This chapter examines how classification theories can be applied in the digital information environment. Vocabulary control and thesaurus construction are studied in the context of creating subject trees as structured browsing environments. Then practical, user-centred taxonomy creation and maintenance are explored. The concept of ontology in the context of information management is explained. Finally, collaborative classification and the impact of user-generated content to provide an additional level of organisation to web-based information are discussed. "
}

@incollection{Chatterjee2017497,
title = "Chapter Y - Automated Information Organization ",
editor = "Chatterjee, Amitabha ",
booktitle = "Elements of Information Organization and Dissemination ",
publisher = "Chandos Publishing",
edition = "",
address = "",
year = "2017",
pages = "497 - 526",
isbn = "978-0-08-102025-8",
doi = "https://doi.org/10.1016/B978-0-08-102025-8.00025-9",
url = "http://www.sciencedirect.com/science/article/pii/B9780081020258000259",
author = "Amitabha Chatterjee",
keywords = "Auto-indexing",
keywords = "auto-abstracting",
keywords = "ontology",
keywords = "folksonomy",
keywords = "folksontology",
keywords = "machine translation",
keywords = "natural language processing ",
abstract = "Abstract Information and communication technology is now being increasingly employed in libraries and information centers for improving organization and dissemination of information. Many of the activities, which were earlier being done manually, have now been automated. Besides, a sizeable amount of information sources are now available in electronic or digital format, and Internet has become an important source of information. Not only the existing libraries and their services are now being automated, libraries of new varieties, such as digital libraries and virtual libraries are also coming up. The main areas where efforts are being made to apply computers for increasing the efficiency and speed in the field of information organization are indexing; abstracting; information retrieval tools like thesaurus, ontology, folksonomy, and folksontology; translation; and language processing. These efforts have been briefly discussed in this chapter. "
}

@incollection{CordónGarcía2013217,
title = "7 - Social tagging and its applications for academic and leisure reading ",
editor = "Cordón-García, José-Antonio and , and Alonso-Arévalo, Julio and , and Gómez-Díaz, Raquel and ,  and Linder, Daniel ",
booktitle = "Social Reading ",
publisher = "Chandos Publishing",
edition = "",
address = "",
year = "2013",
pages = "217 - 247",
series = "Chandos Publishing Social Media Series",
isbn = "978-1-84334-726-2",
doi = "https://doi.org/10.1016/B978-1-84334-726-2.50007-0",
url = "http://www.sciencedirect.com/science/article/pii/B9781843347262500070",
author = "José-Antonio Cordón-García and Julio Alonso-Arévalo and Raquel Gómez-Díaz and Daniel Linder",
keywords = "social tagging",
keywords = "academic reading",
keywords = "social reading application",
keywords = "social reference manager",
keywords = "social labelling ",
abstract = "Abstract: Social tagging is a system of content representation which is collaboratively developed by information users and made available to other users via Web 2.0 applications. In this chapter, social labelling is defined, the elements which comprise it are outlined and the criteria necessary for it to be used are discussed. Also discussed below are in-depth descriptions of the characteristics and types of social indexing of information and in addition to such critical perspectives as its usefulness as well as its strengths and weaknesses. The contribution of social indexing and social content administrators to reading for academic purposes is analysed from an academic perspective, while their impact on reading for pleasure is analysed by an examination of social reading applications. "
}

@incollection{Hall2014365,
title = "Chapter Sixteen - Conventional and Radio Frequency Identification (RFID) Tags ",
editor = "Cadrin, Steven X. and Kerr, Lisa A.  and Mariani, Stefano ",
booktitle = "Stock Identification Methods (Second Edition) ",
publisher = "Academic Press",
edition = "Second Edition",
address = "San Diego",
year = "2014",
pages = "365 - 395",
isbn = "978-0-12-397003-9",
doi = "https://doi.org/10.1016/B978-0-12-397003-9.00016-3",
url = "http://www.sciencedirect.com/science/article/pii/B9780123970039000163",
author = "David A. Hall",
keywords = "External tags",
keywords = "Movement rate assessment",
keywords = "Movement studies",
keywords = "RFID/PIT tags",
keywords = "Tagging procedures ",
abstract = "Abstract A description of historical and current external and internal tag types is provided along with recent advances for application to stock identification studies including conventional plastic/metal tags, coded wire tags, visible implant tags, and radio frequency identification tags. Information is provided to assist the researcher to identify the optimal tag for their species and size range and to develop and execute an optimal tagging procedure and program that is tailored to the study objectives and the nature of the fishery including the tag-recovery phase. This chapter discusses a range of articles that have utilized conventional and radio frequency identification tags in stock identification and movement studies across a range of crustacean, mollusk, and finfish species with an emphasis on the latter. Information is also provided on recent advances in tagging data analysis for movement rate studies. "
}

@incollection{CordónGarcía2013217,
title = "7 - Social tagging and its applications for academic and leisure reading ",
editor = "Cordón-García, José-Antonio and , and Alonso-Arévalo, Julio and , and Gómez-Díaz, Raquel and ,  and Linder, Daniel ",
booktitle = "Social Reading ",
publisher = "Chandos Publishing",
edition = "",
address = "",
year = "2013",
pages = "217 - 247",
series = "Chandos Publishing Social Media Series",
isbn = "978-1-84334-726-2",
doi = "https://doi.org/10.1016/B978-1-84334-726-2.50007-0",
url = "http://www.sciencedirect.com/science/article/pii/B9781843347262500070",
author = "José-Antonio Cordón-García and Julio Alonso-Arévalo and Raquel Gómez-Díaz and Daniel Linder",
keywords = "social tagging",
keywords = "academic reading",
keywords = "social reading application",
keywords = "social reference manager",
keywords = "social labelling ",
abstract = "Abstract: Social tagging is a system of content representation which is collaboratively developed by information users and made available to other users via Web 2.0 applications. In this chapter, social labelling is defined, the elements which comprise it are outlined and the criteria necessary for it to be used are discussed. Also discussed below are in-depth descriptions of the characteristics and types of social indexing of information and in addition to such critical perspectives as its usefulness as well as its strengths and weaknesses. The contribution of social indexing and social content administrators to reading for academic purposes is analysed from an academic perspective, while their impact on reading for pleasure is analysed by an examination of social reading applications. "
}

@incollection{Alemu201543,
title = "4 - The emergence of socially-constructed metadata in a mixed metadata approach ",
editor = "Alemu, Getaneh and ,  and Stevens, Brett ",
booktitle = "An Emergent Theory of Digital Library Metadata ",
publisher = "Chandos Publishing",
edition = "",
address = "",
year = "2015",
pages = "43 - 65",
isbn = "978-0-08-100385-5",
doi = "https://doi.org/10.1016/B978-0-08-100385-5.00004-3",
url = "http://www.sciencedirect.com/science/article/pii/B9780081003855000043",
author = "Getaneh Alemu and Brett Stevens",
keywords = "Post-hoc metadata",
keywords = "socially-constructed metadata",
keywords = "tagging",
keywords = "metadata crowdsourcing",
keywords = "metadata diversity",
keywords = "network effect",
keywords = "metadata aggregation",
keywords = "collective metadata intelligence ",
abstract = "Socially-constructed metadata provides a platform for two-way collaboration using current technologies such as tagging, user-reviews, recommendations and metadata crowdsourcing. This results in post-hoc metadata with each user contributing, via a network effect, to metadata diversity. However, standards-based, a priori, metadata restricts users’ involvement and ensures consistent structures and quality. These approaches though, are not necessarily in opposition. Combining both, into a mixed metadata system, unlocks the potential for metadata diversity and scalability whilst maintaining hierarchical and semantic structure. This changes the underlying principles for metadata systems, to consider variable user participation, aggregation and provenance, along with a change in the definition of quality so that it focuses on findability or usefulness. "
}

@incollection{Vossen2007281,
title = "chapter 6 - The Semantic Web and Web 2.0 ",
editor = "Vossen, Gottfried and ,  and Hagemann, Stephan ",
booktitle = "Unleashing Web 2.0 ",
publisher = "Morgan Kaufmann",
edition = "",
address = "San Francisco",
year = "2007",
pages = "281 - 336",
isbn = "978-0-12-374034-2",
doi = "https://doi.org/10.1016/B978-012374034-2.50007-1",
url = "http://www.sciencedirect.com/science/article/pii/B9780123740342500071",
author = "Gottfried Vossen and Stephan Hagemann",
abstract = "Publisher Summary This article focuses on Semantic Web, which is another important Web development, besides Web 2.0, that has emerged roughly since 2001. Tim Berners-Lee and others wrote in their famous paper “The Semantic Web—A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities” in the Scientific American that the Semantic Web is a vision: the idea of having data on the Web defined and linked in a way that it can be used by machines not just for display purposes, but for automation, integration, and reuse of data across various applications. The Semantic Web is an extension of the current Web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. A comparison of the features available through Web 2.0 technology, in particular, social bookmarking, tagging, and folksonomies, with Semantic Web developments such as taxonomies and ontologies, is presented. The possible augmentations and enhancements to traditional search engines and data integration are the core idea of the Semantic. A considerable number of techniques and approaches to deal with data integration problems, that fall in two basic categories: virtual integration and materialized integration. Materialized systems include search engines with their index, but also data warehouses as used in online analytical processing (OLAP) applications. Virtual systems include meta search engines such as Mamma, multidatabase systems as well as systems building on so called mediated integration. Languages at the core of Semantic Web development include \{RDF\} (the Resource Description Framework), \{RDF\} Schema (RDFS, a schema specification language), and \{OWL\} (Web Ontology Language). "
}

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number = "",
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year = "2016",
note = "SI: BridgingSemantic",
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keywords = "Ontology generation",
keywords = "Collaborative tags",
keywords = "Context",
keywords = "Basic level concept",
keywords = "Semantic gap"
}
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title = "Dynamics of human categorization in a collaborative tagging system: How social processes of semantic stabilization shape individual sensemaking",
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number = "",
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year = "2015",
note = "",
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url = "http://www.sciencedirect.com/science/article/pii/S0747563215003489",
author = "Tobias Ley and Paul Seitlinger",
keywords = "Categorization",
keywords = "Sensemaking",
keywords = "Collaborative tagging",
keywords = "Distributed cognition",
keywords = "Social web"
}
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title = "Collaborative filtering based on collaborative tagging for enhancing the quality of recommendation",
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volume = "9",
number = "1",
pages = "73 - 83",
year = "2010",
note = "Special Issue: Social Networks and Web 2.0",
issn = "1567-4223",
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author = "Heung-Nam Kim and Ae-Ttie Ji and Inay Ha and Geun-Sik Jo",
keywords = "Collaborative tagging",
keywords = "Collaborative filtering",
keywords = "Recommender system"
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journal = "Knowledge-Based Systems",
volume = "75",
number = "",
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year = "2015",
note = "",
issn = "0950-7051",
doi = "http://dx.doi.org/10.1016/j.knosys.2014.11.026",
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keywords = "Collaborative tagging systems",
keywords = "Recommender systems",
keywords = "Data fusion",
keywords = "Item recommendation",
keywords = "Performance comparison"
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year = "2010",
note = "",
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author = "Jose Emilio Labra Gayo and Patricia Ordóñez de Pablos and Juan Manuel Cueva Lovelle",
keywords = "Multimedia web information systems",
keywords = "Semantic web technologies",
keywords = "Collaborative tagging"
}
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title = "Towards a user model for personalized recommendations in work-integrated learning: A report on an experimental study with a collaborative tagging system",
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volume = "1",
number = "2",
pages = "2829 - 2838",
year = "2010",
note = "Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010)",
issn = "1877-0509",
doi = "http://dx.doi.org/10.1016/j.procs.2010.08.008",
url = "http://www.sciencedirect.com/science/article/pii/S1877050910003212",
author = "K. Schoefegger and P. Seitlinger and T. Ley",
keywords = "User modeling",
keywords = "Personalized recommendations",
keywords = "Collaborative tagging",
keywords = "Work-integrated learning"
}
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volume = "50",
number = "",
pages = "239 - 251",
year = "2015",
note = "",
issn = "0747-5632",
doi = "http://dx.doi.org/10.1016/j.chb.2015.03.045",
url = "http://www.sciencedirect.com/science/article/pii/S0747563215002356",
author = "Georgios Pitsilis and Wei Wang",
keywords = "Recommender systems",
keywords = "Collaborative tagging",
keywords = "Clustering",
keywords = "Affinity propagation",
keywords = "citeUlike",
keywords = "Taxonomy"
}
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journal = "Procedia Computer Science",
volume = "3",
number = "",
pages = "785 - 790",
year = "2011",
note = "World Conference on Information Technology",
issn = "1877-0509",
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url = "http://www.sciencedirect.com/science/article/pii/S187705091000503X",
author = "Yamen Batch and Maryati Mohd Yusof and Shahrul Azman Mohd Noah and Teh Phoey Lee",
keywords = "Medical tagging",
keywords = "Collaborative tagging",
keywords = "Medical blogs"
}
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title = "Class-based tag recommendation and user-based evaluation in online audio clip sharing",
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volume = "67",
number = "",
pages = "131 - 142",
year = "2014",
note = "",
issn = "0950-7051",
doi = "http://dx.doi.org/10.1016/j.knosys.2014.06.003",
url = "http://www.sciencedirect.com/science/article/pii/S0950705114002214",
author = "Frederic Font and Joan Serrà and Xavier Serra",
keywords = "Collaborative tagging",
keywords = "Tag recommendation",
keywords = "User study",
keywords = "Folksonomy",
keywords = "Freesound"
}
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year = "2010",
note = "",
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doi = "http://dx.doi.org/10.1016/j.ipm.2009.06.002",
url = "http://www.sciencedirect.com/science/article/pii/S0306457309000661",
author = "Jun Wang and Maarten Clements and Jie Yang and Arjen P. de Vries and Marcel J.T. Reinders",
keywords = "User-generated content",
keywords = "Social media",
keywords = "Collaborative tagging",
keywords = "Collaborative filtering",
keywords = "Personalization"
}
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title = "Knowledge distribution via shared context between blog-based knowledge management systems: A case study of collaborative tagging",
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volume = "36",
number = "7",
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year = "2009",
note = "",
issn = "0957-4174",
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url = "http://www.sciencedirect.com/science/article/pii/S095741740900205X",
author = "Jason J. Jung",
keywords = "Personal knowledge management",
keywords = "Shared context",
keywords = "Knowledge distribution",
keywords = "Community of practice"
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author = "Haoran Xie and Xiaodong Li and Tao Wang and Li Chen and Ke Li and Fu Lee Wang and Yi Cai and Qing Li and Huaqing Min",
keywords = "Dominating set",
keywords = "Context",
keywords = "Folksonomy",
keywords = "Personalized search",
keywords = "Collaborative tagging"
}
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title = "Semantic similarity measures for enhancing information retrieval in folksonomies",
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volume = "40",
number = "5",
pages = "1645 - 1653",
year = "2013",
note = "",
issn = "0957-4174",
doi = "http://dx.doi.org/10.1016/j.eswa.2012.09.006",
url = "http://www.sciencedirect.com/science/article/pii/S0957417412010603",
author = "Mohammed Nazim Uddin and Trong Hai Duong and Ngoc Thanh Nguyen and Xin-Min Qi and Geun Sik Jo",
keywords = "Folksonomies",
keywords = "Tag",
keywords = "WordNet",
keywords = "Information retrieval",
keywords = "Collaborative tagging"
}
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title = "A collaborative desktop tagging system for group knowledge management based on concept space",
journal = "Expert Systems with Applications",
volume = "36",
number = "5",
pages = "9513 - 9523",
year = "2009",
note = "",
issn = "0957-4174",
doi = "http://dx.doi.org/10.1016/j.eswa.2008.12.042",
url = "http://www.sciencedirect.com/science/article/pii/S0957417408008853",
author = "Wen-Tai Hsieh and Jay Stu and Yen-Lin Chen and Seng-Cho Timothy Chou",
keywords = "Tagging",
keywords = "Collaborative tagging",
keywords = "Folksonomy",
keywords = "Concept space",
keywords = "Personal information management"
}
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title = "Folksonomy-based personalized search by hybrid user profiles in multiple levels",
journal = "Neurocomputing",
volume = "204",
number = "",
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year = "2016",
note = "Big Learning in Social Media Analytics",
issn = "0925-2312",
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author = "Qing Du and Haoran Xie and Yi Cai and Ho-fung Leung and Qing Li and Huaqing Min and Fu Lee Wang",
keywords = "Folksonomy",
keywords = "Social tagging",
keywords = "Web 2.0",
keywords = "User profiling",
keywords = "Personalized search"
}
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title = "Collaborative filtering with diffusion-based similarity on tripartite graphs",
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number = "6",
pages = "1259 - 1264",
year = "2010",
note = "",
issn = "0378-4371",
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url = "http://www.sciencedirect.com/science/article/pii/S0378437109009753",
author = "Ming-Sheng Shang and Zi-Ke Zhang and Tao Zhou and Yi-Cheng Zhang",
keywords = "Recommender systems",
keywords = "Collaborative filtering",
keywords = "Diffusion-based similarity",
keywords = "Collaborative tagging systems",
keywords = "Infophysics"
}
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number = "",
pages = "98 - 110",
year = "2014",
note = "Special Issue on ``Affective Neural Networks and Cognitive Learning Systems for Big Data Analysis''",
issn = "0893-6080",
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url = "http://www.sciencedirect.com/science/article/pii/S0893608014001257",
author = "Yi Cai and Qing Li and Haoran Xie and Huaqin Min",
keywords = "Social media",
keywords = "Personalized search",
keywords = "User profile",
keywords = "Folksonomy",
keywords = "Big data"
}
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year = "2016",
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author = "Haoran Xie and Xiaodong Li and Tao Wang and Raymond Y.K. Lau and Tak-Lam Wong and Li Chen and Fu Lee Wang and Qing Li",
keywords = "Social media",
keywords = "Sentiment",
keywords = "User profiling",
keywords = "Folksonomy",
keywords = "Personalized search"
}
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number = "10",
pages = "9723 - 9729",
year = "2012",
note = "",
issn = "0957-4174",
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url = "http://www.sciencedirect.com/science/article/pii/S0957417412003326",
author = "Nicolás Tourné and Daniela Godoy",
keywords = "Web resource classification",
keywords = "Social tagging systems",
keywords = "Folksonomies"
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number = "",
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year = "2015",
note = "",
issn = "0925-2312",
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keywords = "Manifold ranking",
keywords = "Heterogeneous graphs",
keywords = "Social tagging",
keywords = "Recommendation"
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number = "",
pages = "16 - 25",
year = "2014",
note = "",
issn = "0020-0255",
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keywords = "Topic sense induction",
keywords = "Social tag",
keywords = "Disambiguation",
keywords = "Non-negative matrix factorization"
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year = "2010",
note = "",
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keywords = "Complex networks",
keywords = "Personalized recommendation",
keywords = "Diffusion",
keywords = "Infophysics",
keywords = "Folksonomy"
}
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journal = "Neural Networks",
volume = "58",
number = "",
pages = "111 - 121",
year = "2014",
note = "Special Issue on ``Affective Neural Networks and Cognitive Learning Systems for Big Data Analysis''",
issn = "0893-6080",
doi = "http://dx.doi.org/10.1016/j.neunet.2014.05.009",
url = "http://www.sciencedirect.com/science/article/pii/S0893608014001087",
author = "Haoran Xie and Qing Li and Xudong Mao and Xiaodong Li and Yi Cai and Yanghui Rao",
keywords = "Social media",
keywords = "Community",
keywords = "User profiling",
keywords = "Folksonomy",
keywords = "Big data"
}
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volume = "10",
number = "3",
pages = "732 - 749",
year = "2016",
note = "",
issn = "1751-1577",
doi = "http://dx.doi.org/10.1016/j.joi.2016.03.005",
url = "http://www.sciencedirect.com/science/article/pii/S1751157715300936",
author = "Daniel Zoller and Stephan Doerfel and Robert Jäschke and Gerd Stumme and Andreas Hotho",
keywords = "Altmetrics",
keywords = "Scholarly impact",
keywords = "Social bookmarking",
keywords = "Collaborative tagging"
}
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title = "The influence of personalization on tag query length in social media search",
journal = "Information Processing & Management",
volume = "46",
number = "4",
pages = "403 - 412",
year = "2010",
note = "Semantic Annotations in Information Retrieval",
issn = "0306-4573",
doi = "http://dx.doi.org/10.1016/j.ipm.2009.03.006",
url = "http://www.sciencedirect.com/science/article/pii/S0306457309000247",
author = "M. Clements and A.P. de Vries and M.J.T. Reinders",
keywords = "Social media",
keywords = "Personalized search",
keywords = "Random walk",
keywords = "Collaborative tagging",
keywords = "Query length"
}
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title = "Bridging the gap between tagging and querying vocabularies: Analyses and applications for enhancing multimedia IR",
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number = "2",
pages = "97 - 109",
year = "2010",
note = "Bridging the Gap—Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0 The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences",
issn = "1570-8268",
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url = "http://www.sciencedirect.com/science/article/pii/S1570826810000284",
author = "Kerstin Bischoff and Claudiu S. Firan and Wolfgang Nejdl and Raluca Paiu",
keywords = "Web 2.0",
keywords = "Tag analysis",
keywords = "Web information retrieval",
keywords = "Knowledge discovery",
keywords = "Tag recommendation"
}
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journal = "Data & Knowledge Engineering",
volume = "79",
number = "",
pages = "62 - 86",
year = "2012",
note = "",
issn = "0169-023X",
doi = "http://dx.doi.org/10.1016/j.datak.2012.06.002",
url = "http://www.sciencedirect.com/science/article/pii/S0169023X12000614",
author = "Barbara Carminati and Elena Ferrari and Andrea Perego",
keywords = "Web-based information systems",
keywords = "Social Web",
keywords = "Semantic Web",
keywords = "Social tagging",
keywords = "Personalization"
}
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title = "Visualizing and exploring software version control repositories using interactive tag clouds over formal concept lattices",
journal = "Information and Software Technology",
volume = "87",
number = "",
pages = "223 - 241",
year = "2017",
note = "",
issn = "0950-5849",
doi = "http://dx.doi.org/10.1016/j.infsof.2016.12.001",
url = "http://www.sciencedirect.com/science/article/pii/S0950584916304050",
author = "Gillian J. Greene and Marvin Esterhuizen and Bernd Fischer",
keywords = "Formal concept analysis",
keywords = "Tag clouds",
keywords = "Browsing software repositories",
keywords = "Interactive tag cloud visualization"
}
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title = "Improving large-scale search engines with semantic annotations",
journal = "Expert Systems with Applications",
volume = "40",
number = "6",
pages = "2287 - 2296",
year = "2013",
note = "",
issn = "0957-4174",
doi = "http://dx.doi.org/10.1016/j.eswa.2012.10.042",
url = "http://www.sciencedirect.com/science/article/pii/S0957417412011669",
author = "Damaris Fuentes-Lorenzo and Norberto Fernández and Jesús A. Fisteus and Luis Sánchez",
keywords = "Semantic annotation",
keywords = "Semantic search",
keywords = "Wikipedia",
keywords = "Click-through data",
keywords = "Ranking algorithm",
keywords = "Collaborative tagging"
}
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title = "Leveraging social media for scalable object detection",
journal = "Pattern Recognition",
volume = "45",
number = "8",
pages = "2962 - 2979",
year = "2012",
note = "",
issn = "0031-3203",
doi = "http://dx.doi.org/10.1016/j.patcog.2012.02.006",
url = "http://www.sciencedirect.com/science/article/pii/S0031320312000684",
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keywords = "Social media",
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