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Extracting concept hierarchy knowledge from the Web based on Property Inheritance and Aggregation
Abstract Concept hierarchy knowledge, such as hyponConcept hierarchy knowledge, such as hyponymy and meronymy, is very important for various natural language processing systems. While WordNet and Wikipedia are being manually constructed and maintained as lexical ontologies, many researchers have tackled how to extract concept hierarchies from very large corpora of text documents such as the Web not manually but automatically. However, their methods are mostly based on lexico-syntactic patterns as not necessary but sufficient conditions of hyponymy and meronymy, so they can achieve high precision but low recall when using stricter patterns or they can achieve high recall but low precision when using looser patterns. Therefore, we need necessary conditions of hyponymy and meronymy to achieve high recall and not low precision. In this paper, not only "Property Inheritance "from a target concept to its hyponyms but also "Property Aggregation" from its hyponyms to the target concept is assumed to be necessary and sufficient conditions of hyponymy, and we propose a method to extract concept hierarchy knowledge from the Web based on property inheritance and property aggregation.erty inheritance and property aggregation.
Abstractsub Concept hierarchy knowledge, such as hyponConcept hierarchy knowledge, such as hyponymy and meronymy, is very important for various natural language processing systems. While WordNet and Wikipedia are being manually constructed and maintained as lexical ontologies, many researchers have tackled how to extract concept hierarchies from very large corpora of text documents such as the Web not manually but automatically. However, their methods are mostly based on lexico-syntactic patterns as not necessary but sufficient conditions of hyponymy and meronymy, so they can achieve high precision but low recall when using stricter patterns or they can achieve high recall but low precision when using looser patterns. Therefore, we need necessary conditions of hyponymy and meronymy to achieve high recall and not low precision. In this paper, not only "Property Inheritance "from a target concept to its hyponyms but also "Property Aggregation" from its hyponyms to the target concept is assumed to be necessary and sufficient conditions of hyponymy, and we propose a method to extract concept hierarchy knowledge from the Web based on property inheritance and property aggregation.erty inheritance and property aggregation.
Bibtextype inproceedings  +
Doi 10.1109/WIIAT.2008.394  +
Has author Hattori S. + , Katsumi Tanaka +
Has extra keyword Computational linguistics + , Ontology + , Trajectories + , Concept hierarchies + , Extracting concepts + , High precision + , Hyponyms + , Hyponymy + , Lexical ontologies + , Lexico-syntactic patterns + , Meronymy + , Natural Language Processing + , Sufficient conditions + , Target concepts + , Text documents + , Web based + , Wikipedia + , Wordnet + , Natural language processing systems +
Isbn 9780769534961  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 432–437  +
Published in Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 +
Title Extracting concept hierarchy knowledge from the Web based on Property Inheritance and Aggregation +
Type conference paper  +
Year 2008 +
Creation dateThis property is a special property in this wiki. 7 November 2014 22:04:09  +
Categories Publications without keywords parameter  + , Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 November 2014 22:04:09  +
DateThis property is a special property in this wiki. 2008  +
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