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Clustering web documents with tables for information extraction

Published: 28 October 2007 Publication History

Abstract

One of the common approaches to extracting high-quality knowledge from Web sources is to exploit the redundancy of the published information. Therefore, a Web Mining System not only has to search for relevant Web pages but also has to somehow determine whether two pages describe the same entity in order to extract as much knowledge as possible about it. It has been shown that statistical clustering techniques are in general a suitable means to achieve this task by grouping documents that are supposed to contain similar information. However, when data is given in tabular form - which is for instance a typical way of describing items in online shops - existing document clustering algorithms show limited performance as documents containing tabular descriptions typically share a very common set of tokens although they describe different entities. In this paper we therefore propose a new document clustering approach that exploits hyperlinks and document metadata to extract candidates for entity names. These candidate names are subsequently used to cluster the documents and further improve these names, which are finally used to determine whether two documents describe the same entity. The detailed evaluation of our approach in two popular example domains showed its high accuracy in terms of precision and recall (F-Measure > 0.9).

References

[1]
D. Pelleg and A. W. Moore. X--means: Extending k--means with efficient estimation of the number of clusters. In Seventeenth International Conference on Machine Learning, pages 727--734. Morgan Kaufmann, 2000.
[2]
G. Stoilos, G. B. Stamou, and S. D. Kollias. A string metric for ontology alignment. In International Semantic Web Conference, pages 624--637, 2005.

Cited By

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  • (2009)Information extraction from web tablesProceedings of the 11th International Conference on Information Integration and Web-based Applications & Services10.1145/1806338.1806426(470-476)Online publication date: 14-Dec-2009
  • (2009)Automated ontology instantiation from tabular web sources-The AllRight systemWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2009.04.0027:3(136-153)Online publication date: 1-Sep-2009
  • (2009)xCrawl: a high-recall crawling method for Web miningKnowledge and Information Systems10.1007/s10115-009-0266-325:2(303-326)Online publication date: 18-Nov-2009
  • Show More Cited By

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cover image ACM Conferences
K-CAP '07: Proceedings of the 4th international conference on Knowledge capture
October 2007
216 pages
ISBN:9781595936431
DOI:10.1145/1298406
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: 28 October 2007

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  1. X-means algorithm

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K-CAP07
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K-CAP07: International Conference on Knowledge Capture 2007
October 28 - 31, 2007
BC, Whistler, Canada

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Overall Acceptance Rate 55 of 198 submissions, 28%

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Cited By

View all
  • (2009)Information extraction from web tablesProceedings of the 11th International Conference on Information Integration and Web-based Applications & Services10.1145/1806338.1806426(470-476)Online publication date: 14-Dec-2009
  • (2009)Automated ontology instantiation from tabular web sources-The AllRight systemWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2009.04.0027:3(136-153)Online publication date: 1-Sep-2009
  • (2009)xCrawl: a high-recall crawling method for Web miningKnowledge and Information Systems10.1007/s10115-009-0266-325:2(303-326)Online publication date: 18-Nov-2009
  • (undefined)Automated Ontology Instantiation from Tabular Web Sources The AllRight SystemSSRN Electronic Journal10.2139/ssrn.3199423

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