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Semantic Message Passing for Generating Linked Data from Tables
We describe work on automatically inferring the intended meaning of tables and representing it as RDF linked data, making it available for improving search, interoperability and integration. WeExpand
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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 toExpand
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Exploiting a Web of Semantic Data for Interpreting Tables
Much of the world’s knowledge is contained in structured documents like spreadsheets, database relations and tables in documents found on the Web and in print. The information in these tables mightExpand
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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 representationsExpand
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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 informationExpand
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CyberTwitter: Using Twitter to generate alerts for cybersecurity threats and vulnerabilities
In order to secure vital personal and organizational system we require timely intelligence on cybersecurity threats and vulnerabilities. Intelligence about these threats is generally available inExpand
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CyberTwitter: using Twitter to generate alerts for cybersecurity threats and vulnerabilities
In order to secure vital personal and organizational system we require timely intelligence on cybersecurity threats and vulnerabilities. Intelligence about these threats is generally available inExpand
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A Domain Independent Framework for Extracting Linked Semantic Data from Tables
Vast amounts of information is encoded in tables found in documents, on the Web, and in spreadsheets or databases. Integrating or searching over this information benefits from understanding itsExpand
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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 beExpand
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TABEL -- A Domain Independent and Extensible Framework for Inferring the Semantics of Tables
Tables are an integral part of documents, reports and Web pages, compactly encoding important information that can be difficult to express in text. Table like structures outside documents, such asExpand
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