Article

Mining web site's topic hierarchy

Authors:

Nan Liu,

C. YangAuthors Info & Claims

WWW '05: Special interest tracks and posters of the 14th international conference on World Wide Web

Pages 980 - 981

https://doi.org/10.1145/1062745.1062828

Published: 10 May 2005 Publication History

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Abstract

Searching and navigating a Web site is a tedious task and the hierarchical models, such as site maps, are frequently used for organizing the Web site's content. In this work, we propose to model a Web site's content structure using the topic hierarchy, a directed tree rooted at a Web site's homepage in which the vertices and edges correspond to Web pages and hyperlinks. Our algorithm for mining a Web site's topic hierarchy utilizes three types of information associated with a Web site: link structure, directory structure and Web pages' content.

References

[1]

W.S. Li, O. Kolak, Q. Vu and H. Takano. Defining Logical Domains in a Web Site. Proc. of ACM Hypertext, San Antonio, 2000

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[2]

M. Ester, H.P. Kriegel and M. Schubert. Web Site Mining: A new way to spot Competitors, Customers and Suppliers in the World Wide Web. In Proc. of ACM SIGKDD 2002

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[3]

Z. Chen, S. Liu, W. Liu, G. Pu and W.Y. Ma. Building a Web Thesaurus from Web Link Structure. In Proc. of ACM SIGIR, Toronto, Canada, 2003

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Cited By

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Alshukri ACoenen F(2017)Mining the information architecture of the WWW using automated website boundary detectionWeb Intelligence10.3233/WEB-17036515:4(269-290)Online publication date: 20-Nov-2017
https://doi.org/10.3233/WEB-170365
Sasaki TYaguchi YWatanobe YOka R(2012)Extracting a spatial ontology from a large Flickr tag dataset4th International Conference on Awareness Science and Technology10.1109/iCAwST.2012.6469595(91-97)Online publication date: Aug-2012
https://doi.org/10.1109/iCAwST.2012.6469595
Liu NYang CChau PLyytinen KWei CYang CLin F(2009)Keyphrase extraction for labeling a website topic hierarchyProceedings of the 11th International Conference on Electronic Commerce10.1145/1593254.1593266(81-88)Online publication date: 12-Aug-2009
https://dl.acm.org/doi/10.1145/1593254.1593266
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Index Terms

Mining web site's topic hierarchy
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing
    2. Retrieval models and ranking

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Published In

WWW '05: Special interest tracks and posters of the 14th international conference on World Wide Web

May 2005

454 pages

ISBN:1595930515

DOI:10.1145/1062745

Conference Chairs:
Allan Ellis
Southern Cross University, Australia
,
Tatsuya Hagino
Keio University, Japan
,
Program Chairs:
Fred Douglis
IBM Research
,
Prabhakar Raghavan
Verity, Inc.

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: 10 May 2005

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Cited By

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Alshukri ACoenen F(2017)Mining the information architecture of the WWW using automated website boundary detectionWeb Intelligence10.3233/WEB-17036515:4(269-290)Online publication date: 20-Nov-2017
https://doi.org/10.3233/WEB-170365
Sasaki TYaguchi YWatanobe YOka R(2012)Extracting a spatial ontology from a large Flickr tag dataset4th International Conference on Awareness Science and Technology10.1109/iCAwST.2012.6469595(91-97)Online publication date: Aug-2012
https://doi.org/10.1109/iCAwST.2012.6469595
Liu NYang CChau PLyytinen KWei CYang CLin F(2009)Keyphrase extraction for labeling a website topic hierarchyProceedings of the 11th International Conference on Electronic Commerce10.1145/1593254.1593266(81-88)Online publication date: 12-Aug-2009
https://dl.acm.org/doi/10.1145/1593254.1593266
Wagatsuma TYaguchi YOka R(2009)Cross-Media Data Mining Using Associated Keyword SpaceProceedings of the 2009 Ninth IEEE International Conference on Computer and Information Technology - Volume 0210.1109/CIT.2009.41(289-294)Online publication date: 11-Oct-2009
https://dl.acm.org/doi/10.1109/CIT.2009.41
Li KWang FZhang PXie X(2008)Analysis of Network Lifetime in Hybrid Sensor Networks with Wired Shortcut2008 4th International Conference on Wireless Communications, Networking and Mobile Computing10.1109/WiCom.2008.862(1-4)Online publication date: Oct-2008
https://doi.org/10.1109/WiCom.2008.862
Li F(2008)Extracting Structure of Web Site Based on Hyperlink Analysis2008 4th International Conference on Wireless Communications, Networking and Mobile Computing10.1109/WiCom.2008.2538(1-4)Online publication date: Oct-2008
https://doi.org/10.1109/WiCom.2008.2538
Li YSa LZheng RGuo X(2008)A Novel Agent-Based Model for Search in Distributed Networks2008 4th International Conference on Wireless Communications, Networking and Mobile Computing10.1109/WiCom.2008.1326(1-4)Online publication date: Oct-2008
https://doi.org/10.1109/WiCom.2008.1326
Yang CLiu N(2008)Web site topic‐hierarchy generation based on link structureJournal of the American Society for Information Science and Technology10.1002/asi.2099060:3(495-508)Online publication date: 8-Dec-2008
https://doi.org/10.1002/asi.20990
Yaguchi YOhnishi HMori SNaruse KOka RTakahashi H(2006)A Mining Method for LinkedWeb Pages Using Associated Keyword SpaceProceedings of the International Symposium on Applications on Internet10.1109/SAINT.2006.4(268-276)Online publication date: 23-Jan-2006
https://dl.acm.org/doi/10.1109/SAINT.2006.4
Liu NYang CHerzog OSchek HFuhr NChowdhury ATeiken W(2005)Extracting a website's content structure from its link structureProceedings of the 14th ACM international conference on Information and knowledge management10.1145/1099554.1099660(345-346)Online publication date: 31-Oct-2005
https://dl.acm.org/doi/10.1145/1099554.1099660

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