Ontology-guided extraction of complex nested relationships

Sushain Pandit, Vasant Honavar

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

4 Scopus citations

Abstract

Many applications call for methods to enable automatic extraction of structured information from unstructured natural language text. Due to inherent challenges of natural language processing, most of the existing methods for information extraction from text tend to be domain specific. We explore a modular ontology-based approach to information extraction that decouples domain-specific knowledge from the rules used for information extraction.We describe a framework for extraction of a subset of complex nested relationships (e.g., Joe reports that Jim is a reliable employee). The extracted relationships are output in the form of sets of RDF (resource description framework) triples, which can be queried using query languages for RDF and mined for knowledge acquisition.

Original languageEnglish (US)
Title of host publicationProceedings - 22nd International Conference on Tools with Artificial Intelligence, ICTAI 2010
Pages173-178
Number of pages6
DOIs
StatePublished - Dec 1 2010
Event22nd International Conference on Tools with Artificial Intelligence, ICTAI 2010 - Arras, France
Duration: Oct 27 2010Oct 29 2010

Publication series

NameProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
Volume2
ISSN (Print)1082-3409

Other

Other22nd International Conference on Tools with Artificial Intelligence, ICTAI 2010
CountryFrance
CityArras
Period10/27/1010/29/10

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence
  • Computer Science Applications

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