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Abstract Due Workshop |
Last generated: Thu Sep 16 18:07:40 2004 EST.
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ACM WIDM 2004CALL FOR PAPERS |
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)
http://nike.psu.edu/widm04/
Sponsored by the ACM SIGIR
NEW: Final Program
NEW: Keynote Speach by Dr. C. Lee Giles
SCOPE
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.
TOPICS OF INTEREST
- 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.
PAPER SUBMISSION
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.
IMPORTANT DATES
Submission of abstract: June 27, 2004Submission of full paper: July 4, 2004Notification of acceptance: August 20, 2004- Camera-ready copy due: September 10, 2004
PROGRAM CO-CHAIRS
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
KEYNOTE SPEACH
"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
giles@ist.psu.edu
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.
