Article

Logical structure based semantic relationship extraction from semi-structured documents

Authors:

Zhang Kuo,

Wu Gang,

Li JuanZiAuthors Info & Claims

WWW '06: Proceedings of the 15th international conference on World Wide Web

Pages 1063 - 1064

https://doi.org/10.1145/1135777.1136016

Published: 23 May 2006 Publication History

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Abstract

Addressed in this paper is the issue of semantic relationship extraction from semi-structured documents. Many research efforts have been made so far on the semantic information extraction. However, much of the previous work focuses on detecting `isolated' semantic information by making use of linguistic analysis or linkage information in web pages and limited research has been done on extracting semantic relationship from the semi-structured documents. In this paper, we propose a method for semantic relationship extraction by using the logical information in the semi-structured document (semi-structured document usually has various types of structure information, e.g. a semi-structured document may be hierarchical laid out). To the best of our knowledge, extracting semantic relationships by using logical information has not been investigated previously. A probabilistic approach has been proposed in the paper. Features used in the probabilistic model have been defined.

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Cited By

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Bounhas ISlimani Y(2010)A hierarchical approach for semi-structured document indexing and terminology extraction2010 International Conference on Information Retrieval & Knowledge Management (CAMP)10.1109/INFRKM.2010.5466894(315-320)Online publication date: Mar-2010
https://doi.org/10.1109/INFRKM.2010.5466894

Index Terms

Logical structure based semantic relationship extraction from semi-structured documents
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Semantic networks

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Information

Published In

WWW '06: Proceedings of the 15th international conference on World Wide Web

May 2006

1102 pages

ISBN:1595933239

DOI:10.1145/1135777

General Chairs:
Leslie Carr
University of Southampton
,
David De Roure
University of Southampton
,
Arun Iyengar
IBM Research
,
Program Chairs:
Carole Goble
University of Manchester, UK
,
Mike Dahlin
University of Texas at Austin

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 ACM 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 May 2006

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WWW06

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WWW06: The 15th International World Wide Web Conference 2006

May 23 - 26, 2006

Edinburgh, Scotland

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Bounhas ISlimani Y(2010)A hierarchical approach for semi-structured document indexing and terminology extraction2010 International Conference on Information Retrieval & Knowledge Management (CAMP)10.1109/INFRKM.2010.5466894(315-320)Online publication date: Mar-2010
https://doi.org/10.1109/INFRKM.2010.5466894

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A semi-structured document model for text mining

Logical segmentation for article extraction in digitized old newspapers

Extracting and modeling the semantic information content of web documents to support semantic document retrieval