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Ontology-based Annotation and Indexing for Vietnamese Text Document

Published: 02 December 2013 Publication History

Abstract

In this paper, the ontology-based annotation method for Vietnamese text document and a method of indexing annotated document are presented. The annotation method aims at annotating a text document in order to decrease the amount of comparing operations and increase the accuracy in the retrieval tasks. To accomplish this purpose, the kernel phrase concept is proposed to transform the groups of synonymy phrases into an only phrase which has the same meaning to the synonymy phrases. The transforming from a phrase to its kernel phrase is based on an ontology of Vietnamese words according to a different language model. This paper is focused on the annotation method using ontology to identify kernel phrases in a document. Some problems of Vietnamese language related to the annotation method are also presented.

References

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Cao Xuân Hạo. 2007. Tiếng Việt: mấy vấn đề ngũ âm, ngũ pháp, ngũ nghĩa. NXB GiaoA Due. Mã số: 7X290t7-DAI.
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Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze. 2008. Introduction to Information Retrieval. Cambridge University Press. ISBN: 978-0-521-86571-5.
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Rogers, T. T., Lambon Ralph, M. A, Garrard, P., Bozeat, S., McClelland, J. L., Hodges, J. R., and Patterson, K. 2004. The structure and deterioration of semantic memory: A neuropsychological and computational investigation. Psychological Review, 111(1), 205--235.
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Le-Hong, P., T M H. Nguyen, M. Rossignol, and A. Roussanaly. 2010. An empirical study of maximum entropy approach for part-of-speech tagging of Vietnamese texts. TALN-2010, Montreal, Canada.
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T. Rindflesch and A. Aronson. 1993. Semantic processing in information retrieval. SCAMC 93. McGraw-Hill Inc., New York, 611--615.
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Cam Tu Nguyen, Trung Kien Nguyen, Xuan Hieu Phan, Le Minh Nguyen, and Quang Thuy Ha. 2006. Vietnamese Word Segmentation with CRFs and SVMs: An Investigation, The 20th Pacific Asia Conference on Language, Information, and Computation (PACLIC), Wuhan, China.
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Atanas Kiryakov, Borislav Popov, Ivan Terziev, Dimitar Manov, and Damyan Ognyanoff. 2004. Semantic annotation, indexing, and retrieval. J. Web Sem., 2, 1 (2004), 49--79.
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Fausto Giunchiglia, Uladzimir Kharkevich, Ilya Zaihrayeu. Concept Search: Semantics Enabled Syntactic Search. 2008. In CEUR Workshop Proceedings of SemSearch 2008, 334, 109--123. ISSN 1613-0073.
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Miriam Fernández Sánchez. 2009. Semantically enhanced Information Retrieval: An ontology-based approach. Doctoral dissertation. Unitversidad de Autónoma, Madrid.
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Noam Chomsky. 1957. Syntactic Structures. Walter de Gruyter & Co. KG, 10 Berlin. ISBN 3-11-017279-8.

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  1. Ontology-based Annotation and Indexing for Vietnamese Text Document

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    IIWAS '13: Proceedings of International Conference on Information Integration and Web-based Applications & Services
    December 2013
    753 pages
    ISBN:9781450321136
    DOI:10.1145/2539150
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    • @WAS: International Organization of Information Integration and Web-based Applications and Services

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    New York, NY, United States

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    Published: 02 December 2013

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    Author Tags

    1. Kernel phrase identification
    2. Vietnamese language processing
    3. document annotation
    4. ontology-based annotation

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