[DL] CFP: AAAI 2004 Workshop on Semantic Web Personalization

Andreas Hotho hotho at aifb.uni-karlsruhe.de
Thu Jan 22 13:55:52 CET 2004

                          CALL FOR PAPERS
          AAAI 2004 Workshop on Semantic Web Personalization 

               July 25-26, 2004, San Jose, California



March 12, 2004: Deadline for electronic submission
April 16, 2004: Notification of acceptance or rejection
May 14, 2004: Submission of camera-ready paper via AAAI Web site


The Web is now an integral part of numerous applications in which a 
user interacts with a company, government, employer, or an information 
provider. However, the potential of the Web is hampered by the enormity 
of the content available and the diverse expectations of its user base. 
Hence, Web applications need to combine all available knowledge in 
order to form personalized, user-friendly, and business-optimal 

Over the years, personalized Web applications and services have been 
developed that use Web Mining and similar technologies to harvest 
shallow patterns hidden within masses of transactional, navigational, 
and content-structural data that are useful for presenting product 
recommendations and the likes. Without the benefit of deeper semantic 
or ontological knowledge about the underlying domain, personalization 
systems cannot handle heterogeneous and complex objects based on their 
properties and relationships. Nor can these systems possess the ability 
to automatically explain or reason about the user models or user 
recommendations. This realization points to an important research focus 
that combines the strengths of Web mining with semantic or ontological 
knowledge. The prospect of having deeper knowledge, gained from a 
combination of relevant but highly heterogeneous sources, about the 
information available and/or the resources accessed by users, means 
that personalization app!
 roaches can be developed that can present the most contextually 
relevant content to the user of the Web.

The workshop aims to bring together researchers and practitioners from 
the two rapidly developing research areas: Semantic Web and Web 
Intelligence. The aim is to improve the results of Web Personalization 
by exploiting the new semantic structures in the Web, and by 
incorporating AI techniques that take advantage of existing, learned, 
or extracted ontological knowledge.


We invite submissions covering the full range of topics related to 
Semantic Web Personalization, from foundational issues of obtaining, 
modelling, and integrating relevant data, to the deployment and 
evaluation of these techniques in concrete architectures and systems. 
We also encourage methodological contributions covering new 
developments in the basic enabling technologies with a specific view to 
the demands of Semantic Web Personalization. Topics of interest include 
(but are not limited to):

Data/Knowledge Modeling, Integration and Management
o The role of domain knowledge and ontologies in user modeling and 
personalization o Combining background knowledge and user context
o Semantic Web Mining using the syntactic layer (XML), the vocabulary 
layer (e.g., RDF-Schema), or the logical layer (e.g., Description 
o Integration of content, structure and usage data for personalization
o The role of multi-channel data in online personalization
o Personalized taxonomies or ontologies (for individuals or user 
o Model integration for personalization and recommendation systems

Architectures and Systems
o Semantically enhanced scalable collaborative filtering techniques
o Ontology-based agents for intelligent information access and 
o Adaptive systems for the Semantic Web
o Hybrid Recommendation Systems
o Multi-agent systems for personalization, including client-side or 
distributed architectures
o Community-based and task-oriented personalization
o Evaluation of Recommendation Systems

Enabling Technologies for Personalization
o Web usage, content, and structure mining
o Text and hypertext mining for recommendation generation and 
o Automated techniques for generation and updating of user profiles
o Machine Learning techniques for information extraction and 
o Learning and acquisition of taxonomies or ontologies from Web 
o Metadata learning and Harvesting 
o Applications of relational data mining in personalization


All papers must be submitted no later than March 12, 2004. All 
submissions must be made electronically to mobasher at cs.depaul.edu. 
Please use the AAAI prescribed formatting instructions available at 
http://www.aaai.org/Workshops. Papers should be no more than 12 pages 
inclusive of all references and figures. All papers must be submitted 
in either PDF (preferred) or postscript. It is the responsibility of 
the authors to ensure that the submitted papers print correctly on a 
variety of printers. If any special fonts are used, they must be 
included in the submission. All papers must be original, and have not 
been published or submitted elsewhere.


Bamshad Mobasher
School of Computer Science, DePaul University, Chicago, USA
E-mail: mobasher at cs.depaul.edu

Sarabjot Singh Anand
University of Ulster at Jordanstown, N. Ireland, UK
E-mail: ss.anand at ulster.ac.uk

Bettina Berendt
Institute of Info. Systems, Humboldt University Berlin, Germany
E-mail: berendt at wiwi.hu-berlin.de

Andreas Hotho
Institute AIFB, University of Karlsruhe, Germany
E-mail: hotho at aifb.uni-karlsruhe.de


o Robin Burke (DePaul University, Chicago, USA)
o C. Lee Giles (Pennsylvania State University, USA)
o Nicola Henze (University Hannover, Germany)
o Vasant Honavar (Iowa State University, Ames, USA)
o Alfred Kobsa (University of California, Irvine, USA)
o Mark Levene (Birkbeck University of London, UK)
o Ee-Peng Lim (Nanyang Technological University, Singapore)
o Bing Liu (University of Illinois, Chicago, USA)
o Stuart E. Middleton (University of Southampton, UK)
o Dunja Mladenic (J. Stefan Institute, Ljubljana, Slovenia)
o Alexandros Nanopulos (Aristotle University of Thessaloniki, Greece)
o Claire Nedellec (Université Paris Sud, Paris, France)
o George Paliouras (Demokritos Centre for Scientific Research, Greece)
o John Punin (Rensselaer Polytechnic Institute, Troy, N.Y., USA)
o Amit Sheth (University of Georgia, Athens, USA)
o Munindar P. Singh (North Carolina State University, Raleigh, USA)
o Myra Spiliopoulou (Otto-von-Guericke University, Magdeburg, Germany)
o Jaideep Srivastava (University of Minnesota, Minneapolis, USA)
o Rudi Studer (University of Karlsruhe, Germany)
o Gerd Stumme (University of Karlsruhe, Germany)
o Alex Tuzhilin (Stern School of Business, New York University, USA)
o Stefan Wrobel (Fraunhofer AIS and University of Bonn, Germany)
o Mohammed Zaki (Rensellaer Polytechnic Institute, USA)

Andreas Hotho          Tel.:   +49-(0)721-608-6558
Universitaet Karlsruhe Fax.:   +49-(0)721-693717
Institut AIFB          e-mail: hotho at aifb.uni-karlsruhe.de
76128 Karlsruhe        www:    http://www.aifb.uni-karlsruhe.de/WBS/

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