Presentation 2009-05-22
Ontology-based Measuring of Semantic Similarity between Documents
Yumiko MIZOGUCHI, Shinichi NAGANO, Masumi INABA, Takahiro KAWAMURA, Akihiko OHSUGA,
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Abstract(in English) This paper proposes techniques for measuring semantic similarity between documents. We use ontology to make a machine understand the meaning of a word. Our system measures similarity based on the distance between a pair of nodes. The words extracted from two documents for comparison are mapped to the nodes. In this paper, we focused on two processes. The first is a measuring similarity between a pair of nodes in ontology. The second is a method of aggregating the results of the similarity of each node. Human intuition is influenced not only by a distance between nodes but also by a structure of the ontology. In the ontology of the domain of the real world, the depth and width of a node's descendant are not uniform. Furthermore, a more important word influences human judgment more strongly. Our approach improved the correlation coefficient between the proposed approaches and human judgment by considering these human intuitions.
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Keyword(in English) semantic / similarity / ontology
Paper # AI2009-1
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Committee AI
Conference Date 2009/5/15(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Ontology-based Measuring of Semantic Similarity between Documents
Sub Title (in English)
Keyword(1) semantic
Keyword(2) similarity
Keyword(3) ontology
1st Author's Name Yumiko MIZOGUCHI
1st Author's Affiliation Corporate Research & Development Center, Toshiba Corp()
2nd Author's Name Shinichi NAGANO
2nd Author's Affiliation Corporate Research & Development Center, Toshiba Corp
3rd Author's Name Masumi INABA
3rd Author's Affiliation Corporate Research & Development Center, Toshiba Corp
4th Author's Name Takahiro KAWAMURA
4th Author's Affiliation Corporate Research & Development Center, Toshiba Corp
5th Author's Name Akihiko OHSUGA
5th Author's Affiliation The University of Electro-Communications
Date 2009-05-22
Paper # AI2009-1
Volume (vol) vol.109
Number (no) 51
Page pp.pp.-
#Pages 6
Date of Issue