Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/1097047.1097052acmconferencesArticle/Chapter ViewAbstractPublication PagescikmConference Proceedingsconference-collections
Article

DirectoryRank: ordering pages in web directories

Published: 04 November 2005 Publication History

Abstract

Web Directories are repositories of Web pages organized in a hierarchy of topics and sub-topics. In this paper, we present DirectoryRank, a ranking framework that orders the pages within a given topic according to how informative they are about the topic. Our method works in three steps: first, it processes Web pages within a topic in order to extract structures that are called lexical chains, which are then used for measuring how informative a page is for a particular topic. Then, it measures the relative semantic similarity of the pages within a topic. Finally, the two metrics are combined for ranking all the pages within a topic before presenting them to the users.

References

[1]
Google Directory http://dir.google.com/.
[2]
MultiWordNet Domains http://wndomains.itc.it/.
[3]
Open Directory Project http://dmoz.com/.
[4]
Sumo Ontology http://ontology.teknowledge.com/.
[5]
WordNet 2.0 http://www.cogsci.princeton.edu/wn/.
[6]
Barzilay R Lexical chains for text summarization. Master's Thesis, Ben-Gurion University, 1997.
[7]
Bharat K and Mihaila G. Hilltop: a search engine based on expert documents: http://www.cs.toronto.edu/georgem/hilltop/.
[8]
Kleinberg J. Authoritative sources in a hyperlinked environment. In Journal of the ACM, 46(5), 1999, 604--632.
[9]
Haveliwala T. Topic sensitive PageRank. In Proceedings of the 11th WWW Conference, 2002, 517--526.
[10]
Ntoulas A., Cho J. and Olston Ch. What's new on the web? The evolution of the web from a search engine perspective. In Proceedings of the 13th WWW Conference, 2004, 1--12.
[11]
Page L., Brin S., Motwani R. and Winograd T. The PageRank citation ranking: Bringing order to the web. Available at http://dbpubs.stanford.edu:8090/pub/1999-66.
[12]
Song Y.I., Han K.S. and Rim H.C. A term weighting method based on lexical chain for automatic summarization. In Proceedings of the 5 th CICLing Conference, 2004, 636--639.
[13]
Stamou S., Krikos V., Kokosis P., Ntoulas A. and Christodoulakis D. Web directory construction using lexical chains. In Proceedings of the 10 th NLDB Conference 2005, 138--149.
[14]
Wang Y. and DeWitt D. Computing PageRank in a distributed internet search system. In Proc. of the 30th VLDB Conf., 2004.

Cited By

View all

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
WIDM '05: Proceedings of the 7th annual ACM international workshop on Web information and data management
November 2005
96 pages
ISBN:1595931945
DOI:10.1145/1097047
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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 November 2005

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. ranking
  2. semantic similarity
  3. web directory

Qualifiers

  • Article

Conference

CIKM05
Sponsor:

Upcoming Conference

CIKM '25

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 27 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2018)Ontology-driven personalized query refinementJournal of Web Engineering10.5555/2011289.20112918:2(113-153)Online publication date: 21-Dec-2018
  • (2018)Search personalization through query and page topical analysisUser Modeling and User-Adapted Interaction10.1007/s11257-008-9056-y19:1-2(5-33)Online publication date: 26-Dec-2018
  • (2010)Supporting multiple paths to objects in information hierarchiesInformation Processing and Management: an International Journal10.1016/j.ipm.2009.06.00746:1(22-43)Online publication date: 1-Jan-2010
  • (2009)Exploiting Collaborative Tagging Systems to Unveil the User-Experience of Web ContentsHandbook of Research on Social Software and Developing Community Ontologies10.4018/978-1-60566-208-4.ch009(119-132)Online publication date: 2009
  • (2008)Improving hierarchical taxonomy integration with semantic feature expansion on category-specific termsProceedings of the 4th Asia information retrieval conference on Information retrieval technology10.5555/1786374.1786404(225-236)Online publication date: 15-Jan-2008
  • (2008)Improving Hierarchical Taxonomy Integration with Semantic Feature Expansion on Category-Specific TermsInformation Retrieval Technology10.1007/978-3-540-68636-1_22(225-236)Online publication date: 2008
  • (2007)HiBOProceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management10.5555/1769708.1769816(845-856)Online publication date: 16-Jun-2007
  • (2007)P2P authority analysis for social communitiesProceedings of the 33rd international conference on Very large data bases10.5555/1325851.1326025(1398-1401)Online publication date: 23-Sep-2007
  • (2007)HiBO: Mining Web’s FavoritesAdvances in Data and Web Management10.1007/978-3-540-72524-4_87(845-856)Online publication date: 2007
  • (2006)Report on the 7th ACM International Workshop on Web Information and Data ManagementACM SIGMOD Record10.1145/1147376.114738735:2(59-61)Online publication date: 1-Jun-2006
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media