title: Why the Data Train Needs Semantic Rails
abstract: While catchphrases such as big data, smart data, data‐intensive science, or smart dust highlight different aspects, they share a common theme — namely, a shift toward a data‐centered perspective in which the synthesis and analysis of data at an ever‐increasing spatial, temporal, and thematic resolution promise new insights, while, at the same time, reduce the need for strong domain theories as starting points. In terms of the envisioned methodologies, those catchphrases tend to emphasize the rol
journal: AI Magazine