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Author Pandit, S. ♦ Honavar, V.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Data mining ♦ Resource description framework ♦ Ontologies ♦ Manuals ♦ Syntactics ♦ Knowledge based systems ♦ Learning systems ♦ ontology ♦ information ♦ extraction ♦ rule ♦ algorithm ♦ relationship
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.
ISBN 9781424488179
ISSN 10823409
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-10-27
Publisher Place France
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 511.03 kB
Page Count 6
Starting Page 173
Ending Page 178


Source: IEEE Xplore Digital Library