WAI › Schedule › 2008 › 16 jun

Title : An Evolutionary Perspective on Approximate RDF Query Answering

Presenter Christophe Guéret
Abstract RDF is increasingly being used to represent large amounts of data on the Web. Current query evaluation strategies for RDF are inspired by databases, assuming perfect answers on finite repositories. In this paper, we present a novel query method based on evolutionary computing, which allows us to handle uncertainty, incompleteness and unsatisfiability, and deal with large datasets, all within a single conceptual framework. Our technique supports approximate answers with anytime behaviour. We present initial results and analyse next steps for improvement.

Title : Extending the CHIP User Model with FOAF: Issues and Approaches

Presenter Yiwen Wang
Abstract In this talk, I will discuss ongoing user modeling research within our CHIP (Cultural Heritage Information Presentation) project, http://www.chip-project.org/. The CHIP user model is an overlay of the domain model, which stores user's ratings of artworks and related topics. Currently we investigate: (i) how to extend the model with FOAF specifications to express user interest and activities in objects; and (ii) how to link to user data from social network and other Web 2.0 applications (e.g. user tags), and use these for recommendations. Using FOAF in this way may help for example to solve the typical cold-start problem in recommender systems and to offer the interoperability across different systems or domains. However, to realize such an user model, issues of storage, linking, representation and inference must be dealt with. In the presentation I will discuss several applications using FOAF, and present our approach in CHIP.