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Generating Linked Data by Inferring the Semantics of Tables
Vast amounts of information is encoded in structured tables found in documents, on the Web, and in spreadsheets or databases. Integrating or searching over this information benefits from understanding its intended meaning. ...
Extracting Information about Security Vulnerabilities from Web Text
The Web is an important source of information about computer security threats, vulnerabilities and cyber-attacks. We present initial work on developing a framework to detect and extract information about vulnerabilities ...
Automatically Generating Government Linked Data from Tables
Most open government data is encoded and published in structured tables found in reports, on the Web, and in spreadsheets or databases. Current approaches to generating Semantic Web representations from such data requires ...
Using linked data to interpret tables
Vast amounts of information is available in structured forms like spreadsheets, database relations, and tables found in documents and on the Web. We describe an approach that uses linked data to interpret such tables and ...
T2LD: Interpreting and Representing Tables as Linked Data
We describe a framework and prototype system for interpreting tables and extracting entities and relations from them, and producing a linked data representation of the table’s contents. This can be used to annotate the ...