Detection Approaches for Table Semantics in Text
When linking information presented in documents as tables with data held in databases, it is important to determine as much information about the table and its content. Such an integrated use of Web-based data requires information about its organization and meaning i.e. the semantics of the table. This paper describes approaches that can be used to detect and extract the semantics for a table held in the text. Our objective is to detect and extract table semantics that are buried in the text. For this goal to be achieved, a domain ontology that covers the semantics of the term used in this table must be available to the information system. The overall aim is to link this tabular information in an interoperable environment containingdatabase and other structures information. . . .