T2LD: Interpreting and Representing Tables as Linked Data
Source: University of Maryland
A vast amount of information is available in structured forms like spreadsheets, database relations, and tables in documents found on the Web. The authors describe a framework for interpreting such tables and extracting entities and relations from them. The results can be used to annotate the table or to contribute its contents to linked data (LOD) collections. The process assigns column headers to class from an appropriate ontology, links table cells (as appropriate) to entities in a LOD collection, and identifies relations between columns and links them to ontology properties. The resulting table interpretation can be used to confirm existing facts in an LOD collection and to propose new facts to be added.