Abstract Due
  >> Jun. 27, 2004
Paper Due
  >> Jul. 4, 2004
  >> Aug. 20, 2004
Camera-ready Due
  >> Sep. 10, 2004

  >> Nov. 12-13, 2004

Submission &    



Accepted Papers    



Previous WIDM    


Last generated: Thu Sep 16 18:07:40 2004 EST.




6th ACM International Workshop on Web Information and Data Management (WIDM 2004)

November 12-13, 2004, Washington, DC, USA

In Conjunction with the 13th International Conference on Information and Knowledge Management (CIKM 2004)
Sponsored by the ACM SIGIR

NEW: Final Program

NEW: Keynote Speach by Dr. C. Lee Giles


ACM WIDM 2004 is the sixth in a series of workshops on Web Information and Data Management to be held in conjunction with the 13th International Conference on Information and Knowledge Management (CIKM 2004). The objective of the workshop is to bring together researchers, industrial practitioners, and developers to study how the Web information can be extracted, stored, analyzed, and processed to provide useful knowledge to the end users for various advanced database and Web applications.

  • Web Mining: Web Usage Mining, Web Classification, Web Clustering, Resource Discovery, Web Personalization, Web Data Extraction, Web Structure Mining.
  • Web Databases: Web Data Models and Meta-data, Web Query Languages, Web Data Storage Systems, Web Indexing, Web Warehousing, Web Data Integration.
  • Web Commerce: Web Services, Intelligent Agents on the Web, Web Site Modeling and Design, Advanced XML Tools, Mobile Commerce.
  • Semantic Web: Web Annotation, Ontologies, Web Services.
  • Advanced Web Applications: Digital Libraries for Web Information, Web Portals, Intelligent Web Search Engines, Web Visualization Tools, Web Information Filtering.
  • Performance of Web Applications: Web Caching, Web Monitoring.

Electronic submission will be used. Manuscripts should be submitted electronically as PDF files and be formatted using the camera-ready templates available at ACM site. Papers cannot exceed 8 pages in length using the ACM style. Detailed submission instructions will be available at the electronic submission Web site later.

All accepted papers will appear in the Proceedings published by the ACM Press. The best workshop papers will be invited to be revised and submitted to a special journal issue. For 2002 and 2003 editions of WIDM, Data & Knowledge Engineering was the journal selected for publication of this special issue. We intended to use this prestigious journal again for the WIDM 2004 special issue.

  • Submission of abstract: June 27, 2004
  • Submission of full paper: July 4, 2004
  • Notification of acceptance: August 20, 2004
  • Camera-ready copy due: September 10, 2004
  • Alberto Laender, Federal University of Minas Gerais, Brazil (laender [at]
  • Dongwon Lee, Penn State University, USA (dongwon [at]
    PROGRAM COMMITTEE (Confirmed List)
    Ashraf Aboulnaga 	U. Waterloo, Canada
    Sihem Amer-Yahia 	AT&T Labs - Research, USA
    Angela Bonifati 	ICAR-CNR, Italy
    Omar Boucelma 		University of Provence, France
    Chee Yong Chan		National University of Singapore, Singapore
    Sudarshan S. Chawathe   University of Maryland, USA
    Roger Chiang 		University of Cincinnati, USA		
    Wesley W. Chu		UCLA, USA
    David Embley 		Brigham Young University, USA
    James French 		University of Virginia, USA
    Fabio Grandi 		University of Bologna, Italy
    Lee Giles		Penn State University, USA
    Manfred Hauswirth 	EPFL-LSIR, Switzerland
    Carlos A. Heuser	Federal Univ. of Rio Grande do Sul, Brazil
    H. V. Jagadish 		University of  Michigan, USA
    Jaewoo Kang		North Carolina State University, USA
    Wang-Chien Lee 		Penn State University, USA
    Chen Li 		University of California at Irvine, USA
    Qing Li			City University of Hong Kong, China
    Steve Liddle		Brigham Young University, USA
    Ee-Peng Lim 		Nanyang Technological University, Singapore
    Murali Mani		Worcester Polytechnic Institute, USA
    Ioana Manolescu		INRIA, France
    Marta Mattoso		Federal University of Rio de Janeiro, Brazil
    Giansalvatore Mecca 	University of Basilicata, Italy
    Paolo Merialdo 		Universit Roma Tre, Italy
    Arnaud Sahuguet		Bell Labs, USA
    Altigran S. da Silva 	Federal University of Amazonas, Brazil
    Jerome Simeon 		IBM Research, USA
    Il-Yeol Song		Drexel University, USA
    Divesh Srivastava 	AT&T Labs - Research, USA
    Jeffrey D. Ullman 	Stanford University, USA
    Vasilis Vassalos 	New York University, USA
    Victor Vianu		University of California at San Diego, USA
    Maria-Esther Vidal	Simon Bolivar University, Venezuela
    Kun-Lung Wu 		IBM Research, USA
    Carlo Zaniolo 		UCLA, USA
    Yanchun Zhang 		Victoria University, Australia
    "Next Generation CiteSeer"

    Dr. C. Lee Giles
    David Reese Professor, School of Information Sciences and Technology
    Professor, Computer Science and Engineering
    Professor, Supply Chain and Information Systems
    The Pennsylvania State University
    University Park, PA

    CiteSeer, a computer and information science search engine and digital library, has been a radical departure for scientific document access and analysis. With nearly 700,000 documents, it has sometimes two million page views a day making it one of the most popular document access engines in science. CiteSeer is also portable, having been extended to ebusiness (eBizSearch) and more recently to academic business documents (SMEALSearch). CiteSeer is based on two features: actively acquiring new documents and automatic tagging and linking of metadata information inherent in an academic document's syntactic structure. Why is CiteSeer so popular? We discuss this and methods for providing new tagged metadata such as institutions and acknowledgements, new data resources and services and the issues in automation. We then discuss the next generation of CiteSeer.

    Dr. Giles' bio

  • The NIKE Group