Conference Proceedings

International Conference on Advances in Computer and Information Technology - ACIT 2013

Semantic Similarity Measure for Graph-based Sentences

Author(s) : NUR AZZAH ABU BAKAR, SITI SAKIRA KAMARUDDIN, YUHANIS YUSOF

Abstract

Graphical text representation method attempts to capture the syntactical 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. Word synonyms are embedded in the 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.

Conference Title : International Conference on Advances in Computer and Information Technology - ACIT 2013
Conference Date(s) : May 04-05, 2013
Place : Hotel Shangri-La, Kuala Lumpur, Malaysia
No fo Author(s) : 3
DOI : 10.15224/978-981-07-6261-2-42
Page(s) : 201 - 204
Electronic ISBN : 978-981-07-6261-2
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