Ontology-guided extraction of complex nested relationships

Sushain Pandit; Vasant Honavar

doi:10.1109/ICTAI.2010.98

Ontology-guided extraction of complex nested relationships

Sushain Pandit, Vasant Honavar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 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 language	English (US)
Title of host publication	Proceedings - 22nd International Conference on Tools with Artificial Intelligence, ICTAI 2010
Pages	173-178
Number of pages	6
DOIs	https://doi.org/10.1109/ICTAI.2010.98
State	Published - 2010
Event	22nd International Conference on Tools with Artificial Intelligence, ICTAI 2010 - Arras, France Duration: Oct 27 2010 → Oct 29 2010

Publication series

Name	Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
Volume	2
ISSN (Print)	1082-3409

Other

Other	22nd International Conference on Tools with Artificial Intelligence, ICTAI 2010
Country/Territory	France
City	Arras
Period	10/27/10 → 10/29/10

All Science Journal Classification (ASJC) codes

Software
Artificial Intelligence
Computer Science Applications

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10.1109/ICTAI.2010.98

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title = "Ontology-guided extraction of complex nested relationships",

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.",

author = "Sushain Pandit and Vasant Honavar",

year = "2010",

doi = "10.1109/ICTAI.2010.98",

language = "English (US)",

isbn = "9780769542638",

series = "Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI",

pages = "173--178",

booktitle = "Proceedings - 22nd International Conference on Tools with Artificial Intelligence, ICTAI 2010",

note = "22nd International Conference on Tools with Artificial Intelligence, ICTAI 2010 ; Conference date: 27-10-2010 Through 29-10-2010",

}

Pandit, S & Honavar, V 2010, Ontology-guided extraction of complex nested relationships. in Proceedings - 22nd International Conference on Tools with Artificial Intelligence, ICTAI 2010., 5671416, Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, vol. 2, pp. 173-178, 22nd International Conference on Tools with Artificial Intelligence, ICTAI 2010, Arras, France, 10/27/10. https://doi.org/10.1109/ICTAI.2010.98

Ontology-guided extraction of complex nested relationships. / Pandit, Sushain; Honavar, Vasant.
Proceedings - 22nd International Conference on Tools with Artificial Intelligence, ICTAI 2010. 2010. p. 173-178 5671416 (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Honavar, Vasant

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AB - 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.

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ER -

Ontology-guided extraction of complex nested relationships

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