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Semantic similarity measure for graph-based sentences


Kamaruddin, Siti Sakira and Yusof, Yuhanis and Abu Bakar, Nur Azzah (2013) Semantic similarity measure for graph-based sentences. In: Second International Conference on Advances in Computer and Information Technology (ACIT), 04 May 2013 - 05 May 2013, Malaysia.

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Abstract

Graphical text representation method attempts to capture the syntactival structure and semantics of documents.As such, they are the preferred text representation approach for a wide range of problems namely in natural language processing, information retrieval and text mining.In a number of these applications, it is necessary to measure the similarity between knowledge represented in the graphs.In this paper, we present semantic similarity measure to compare graph based representation of sentences.The proposed method incorporates computational linguistic method to obtain syntactical information prior to representation with graph representation to support semantic matching.In this paper, we present our idea and initial results on the feasibility of the proposed similarity measurement method.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN: 978-981-07-6261-2
Uncontrolled Keywords: semantic similarity measure, graph based text representation, sentence similarity, word synonyms.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Dr. Siti Sakira Kamaruddin
Date Deposited: 30 Jun 2013 08:32
Last Modified: 30 Jun 2013 08:32
URI: http://repo.uum.edu.my/id/eprint/8314

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