SWP 2004

AAAI Workshop on

Semantic Web Personalization

Held in conjunction with
The Nineteenth National Conference on Artificial Intelligence - AAAI 2004

July 25-26, 2004, San Jose, California


Call for Papers Accepted Papers Workshop Program Instructions for Authors Program Committee

Workshop Description
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 services.

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 approaches 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.

Workshop Topics
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 and Knowledge Modelling, Integration and Management for Personalization
    • The role of domain knowledge and ontologies in user modelling and personalization
    • Combining background knowledge and user context
    • Semantic Web Mining using the syntactic layer (XML), the vocabulary layer (e.g., RDF-Schema), or the logical layer (e.g., Description Logics/OIL)
    • Integration of content, structure and usage data for personalization
    • The role of multi-channel data in online personalization
    • Personalized taxonomies or ontologies (for individuals or user communities)
    • Model integration for personalization and recommendation systems
  • Architectures and Systems
    • Semantically enhanced scalable collaborative filtering techniques
    • Ontology-based agents for intelligent browsing, navigation, and information filtering
    • Adaptive systems for the Semantic Web
    • Hybrid Recommendation Systems
    • Multi-agent systems for personalization, including client-side or distributed architectures
    • Community-based and task-oriented personalization (including "communities of practice")
    • Evaluation of Recommendation Engines: precision, scalability, application-oriented effectiveness
  • Enabling Technologies for Personalization
    • Web usage, content, and structure mining
    • Text and hypertext mining for recommendation generation and personalization
    • Automated techniques for generation and updating of user profiles
    • Machine Learning techniques for information extraction and integration
    • Learning and acquisition of taxonomies or ontologies from Web resources
    • Metadata learning and Harvesting
    • Applications of relational data mining in personalization
Paper Submission
All submissions must be made electronically to mobasher@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.

The workshop proceedings will be published and distributed by AAAI Press. In addition, selected authors from the workshop may be invited to submit expanded versions of their papers for publication is a post-workshop book or in a special issue of a journal.

Note: Participants are expected to register for the main AAAI conference in addition to the workshop.

Important Dates
  • March 21, 2004: Deadline for electronic submission
  • April 23, 2004: Notification of acceptance or rejection
  • May 25, 2004: Submission of camera-ready paper via AAAI Web site
  • May 28, 2004: Early registration deadline
  • June 25, 2004: Late registration deadline
  • July 25-26, 2004: AAAI-04 Workshop Program, San Jose, California
Workshop Co-Chairs