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Application of Topic Based Vector Space Model with WordNet

Wibowo, Adi and Handojo, Andreas (2011) Application of Topic Based Vector Space Model with WordNet. In: 2011 International Conference on Uncertainty Reasoning and Knowledge Engineering, 04-08-2011 - , - .

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Abstract

Topic Based Vector Space Model (TVSM) proposed a new vector space that its dimensions is composed of topics. Every term and document is represented by vectors inside this vector space. By using topics as dimensions TVSM tries to overcome word-mismatch between terms with similar topics in finding relevant documents to query. This study proposes to develop relations between terms using WordNet and thesaurus to help TVSM calculating similarity between documents. Relations between terms are represented by relation score. This study proposes a way to find optimal relation score for a set of documents. To help indexing documents with multi language terms this study also proposes to use dictonary to expand query terms.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Topic based vector space model, wordnet, dictionary
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Industrial Technology > Informatics Engineering Department
Depositing User: Admin
Date Deposited: 13 Jul 2012 23:36
Last Modified: 09 Oct 2012 18:46
URI: http://repository.petra.ac.id/id/eprint/15844

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