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Identifying the topic of queries based on domain specify ontology
Abstract In order to identify the topic of queries,In order to identify the topic of queries, a large number of past researches have relied on lexicon-syntactic and handcrafted knowledge sources in Machine Learning and Natural Language Processing (NLP). Conversely, in this paper, we introduce the application system that detects the topic of queries based on domain-specific ontology. On this system, we work hard on building this domainspecific ontology, which is composed of instances automatically extracted from available resources such as Wikipedia, WordNet, and ACM Digital Library. The experimental evaluation with many cases of queries related to information technology area shows that this system considerably outperforms a matching and identifying approach.forms a matching and identifying approach.
Abstractsub In order to identify the topic of queries,In order to identify the topic of queries, a large number of past researches have relied on lexicon-syntactic and handcrafted knowledge sources in Machine Learning and Natural Language Processing (NLP). Conversely, in this paper, we introduce the application system that detects the topic of queries based on domain-specific ontology. On this system, we work hard on building this domainspecific ontology, which is composed of instances automatically extracted from available resources such as Wikipedia, WordNet, and ACM Digital Library. The experimental evaluation with many cases of queries related to information technology area shows that this system considerably outperforms a matching and identifying approach.forms a matching and identifying approach.
Bibtextype inproceedings  +
Doi 10.2495/ICTE130611  +
Has author ChienTa D.C. + , Thi T.P. +
Has extra keyword Artificial intelligence + , Communication systems + , Digital libraries + , Information retrieval + , Information technology + , Learning algorithms + , Natural language processing systems + , Application systems + , Domain ontologies + , Domain-specific ontologies + , Experimental evaluation + , Identifying topic + , Knowledge sources + , NAtural language processing + , Wikipedia + , Data mining +
Has keyword Domain ontology + , Identifying topic + , Information extraction +
Issn 17433517  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 499–507  +
Published in WIT Transactions on Information and Communication Technologies +
Title Identifying the topic of queries based on domain specify ontology +
Type conference paper  +
Volume 58 VOL I  +
Year 2014 +
Creation dateThis property is a special property in this wiki. 6 November 2014 12:29:48  +
Categories 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. 6 November 2014 12:29:48  +
DateThis property is a special property in this wiki. 2014  +
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