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Using linked data for semi-automatic guesstimation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Access status

Open

Documents

http://www.aaai.org/ocs/index.php/SSS/SSS10/paper/view/1055
Original languageEnglish
Title of host publicationProceedings of AAAI Spring Symposium Series
Subtitle of host publicationLinked Data Meets Artificial Intelligence
EditorsHarry Halpin, Vinay K. Chaudhri, Dan Brickley, Deborah McGuinness
PublisherAAAI Press
Pages2-7
Number of pages6
StatePublished - Mar 2010

Abstract

GORT is a system that combines Linked Data from across several Semantic Web data sources to solve guesstimation problems, with user assistance. The system uses customised inference rules over the relationships in the OpenCyc ontology, combined with data from DBPedia, to reason and perform its calculations. The system is extensible with new Linked Data, as it becomes available, and is capable of answering a small range of guesstimation questions.

Research areas

  • AAAI, Artificial Intelligence, Guesstimation

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