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A Heuristic Approach for Designing Regional Language Based Raw–Text Extractor and Unicode Font–Mapping Tool

  • Conference paper
Advances in Computational Science and Engineering (FGCN 2008)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 28))

  • 322 Accesses

Abstract

Information Extraction (IE) is a type of information retrieval meant for extracting structured information. In general, the information on the web is well structured in HTML or XML format. And IE will be there to structure these documents, by using learning techniques for pattern matching in the content. A typical application of IE is to scan a set of documents written in a natural language and populate a database with the information extracted. In this paper, we have concentrated our research work to give a heuristic approach for interactive information extraction technique where the information is in Indian Regional Language. This enables any naive user to extract regional language (Indian) based document from a web document efficiently. It is just similar to a pre-programmed information extraction engine.

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References

  1. http://en.wikipedia.org/wiki/ISO_8859 (visited on 12/12/2008)

  2. http://aspell.net/charsets/iso8859.html (visited on 12/12/2008)

  3. http://www.terena.org/activities/multiling/ml-docs/iso-8859.html (visited on 13/12/2008)

  4. Raj, A.A., Prahallad, K.: Identification and Conversion on Font-Data in Indian Languages. Tech. Reports, International Institute of Information Technology, http://www.iiit.net/techreports/2008_1.pdf

  5. Madhavi, G., Balakrishnan, M., Balakrishnan, N., Reddy, R.: Om: One tool for many (Indian) Languages. J. Zhejiang University Science 6A(11), 1348–1353 (2005), tera-3.ul.cs.cmu.edu/conference/2005/16.pdf

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Author information

Authors and Affiliations

  1. Computer Science and Engineering Department, Heritage Institute of Technology, Kolkata, 700107, India

    Debnath Bhattacharyya, Poulami Das, Debashis Ganguly, Kheyali Mitra & Swarnendu Mukherjee

  2. Department of Computer Science and Engineering, University of Calcutta, Kolkata, 700009, India

    Samir Kumar Bandyopadhyay

  3. Hannam University, Daejeon, 306791, Korea

    Tai-hoon Kim

Authors
  1. Debnath Bhattacharyya
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  2. Poulami Das
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  3. Debashis Ganguly
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  4. Kheyali Mitra
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  5. Swarnendu Mukherjee
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  6. Samir Kumar Bandyopadhyay
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  7. Tai-hoon Kim
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Editor information

Editors and Affiliations

  1. Hannam University, 306-791, Daejeon, South Korea

    Tai-hoon Kim

  2. Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada

    Laurence T. Yang

  3. Department of Computer Science and Engineering, Masan, Kyungnam University, Kyungnam, South Korea

    Jong Hyuk Park

  4. National Chung Cheng University, Chiayi County, Taiwan

    Alan Chin-Chen Chang

  5. University of Western Macedonia, West Macedonia, Greece

    Thanos Vasilakos

  6. University of Western Sydney, Penrith South, NSW, Australia

    Yan Zhang

  7. University of Limoges/CNRS, Site Jidé, 83 rue d’Isle, 87000, Limoges, France

    Damien Sauveron

  8. University of Plymouth, Plymouth, UK

    Xingang Wang

  9. Wonkwang University, Iksan Chonbuk, South Korea

    Young-Sik Jeong

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© 2009 Springer-Verlag Berlin Heidelberg

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Bhattacharyya, D. et al. (2009). A Heuristic Approach for Designing Regional Language Based Raw–Text Extractor and Unicode Font–Mapping Tool. In: Kim, Th., et al. Advances in Computational Science and Engineering. FGCN 2008. Communications in Computer and Information Science, vol 28. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10238-7_1

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  • DOI: https://doi.org/10.1007/978-3-642-10238-7_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10237-0

  • Online ISBN: 978-3-642-10238-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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