The data retrieval problem is real as major data hubs still rely on keyword search with unreliable metadata. Finding data fit for a specific purpose is difficult due to heterogeneity caused by cultural, scientific, and granular differences that will remain. Semantics helps address this by making data provider meanings explicit through ontologies rather than focusing on agreement over term meanings. Ensuring meaningful analysis and combination of heterogeneous data sources is non-trivial and requires smart data approaches that provide information on intended data use.
Related topics: