Towards Auto-Construction of Domain Ontology: An Auto-Constructed Domain Conceptual Lexicon and its Application to Extractive Summarization

Author

Huang, Hsun-Hui ; Kuo, Yau-Hwang

Author_Institution

Nat. Cheng Kung Univ., Tainan

Volume

5

fYear

2007

fDate

19-22 Aug. 2007

Firstpage

2947

Lastpage

2952

Abstract

A domain conceptual lexicon can be used for the construction of a domain ontology. In this paper, a method of auto-constructing a domain conceptual lexicon is proposed. The conceptual lexicon is represented by WordNet senses and their relations. Using the domain conceptual lexicon, an extractive summarization method is proposed. A characteristic of the scheme is that each sentence of a document is represented by a set of WordNet senses and constitutes a fuzzy transaction for mining conceptual lexicon and ranking relevance. A prototype of this automatic text summarization scheme is built and an intrinsic method with the information-retrieval criteria is used for measuring the summary quality.

Keywords

data mining; fuzzy reasoning; natural language processing; ontologies (artificial intelligence); pattern clustering; relevance feedback; text analysis; WordNet sense; auto-constructed domain conceptual lexicon mining; automatic text summarization scheme; document linguistic processing; domain ontology auto-construction; extractive summarization method; fuzzy transaction; information-retrieval criteria; relevance ranking; semantic clustering; Application software; Clustering algorithms; Cybernetics; Data mining; Frequency; Information retrieval; Knowledge acquisition; Machine learning; Ontologies; Prototypes; Fuzzy transaction; Key sentences; Semantic clustering; Sense representation; Text summarization;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2007 International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-0973-0

Electronic_ISBN

978-1-4244-0973-0

Type

conf

DOI

10.1109/ICMLC.2007.4370652

Filename

4370652