Meta Selection
Inspired by the idea of meta search in information retrieval, at WP2, we are planning to integrate selection results from different selection strategies. Several strategy integration is under development or planed.
Integration of Different User Interests-Based Selection Strategies
- Cumulative Interests
- Retained Interests
- Interest Longest Duration
- Interest Cumulative Duration
Participants (WICI, VUA)
Integration of User Interests-Based Selection Strategies and Random Indexing
Within WP2 we have developed various strategies for selection, some of which include SPARQL query refinement. We are currently working on refinement based on
- User interests (WICI)
- Random Indexing (Sheffield, MPG)
Both techniques assume that the user starts with a SPARQL query, and the refinement is meant to enhance the results. The idea is to investigate whether we could merge the two techniques and enhance the user's experience when quering RDF graphs.
Participants (USFD, WICI)
Parallelisation of Meta Selection
In : The Quest for Parallel Semantic Web Reasoning. Peiqiang Li, Yi Zeng, Spyros Kotoulas, Jacopo Urbani, Ning Zhong. In: Proceedings of the 2009 International Conference on Active Media Technology, Lecture Notes in Computer Science 5820, 430-441, Springer, Beijing, China, October 22-24, 2009.