We propose a framework for ranking information based on quality, relevance and importance, and argue that a socio-semantic contextual approach that extends topicality can lead to increased value of information retrieval systems. We use Topic Maps to implement our framework, and discuss procedures for calculating the resource ranking. A fuzzy neural network approach is envisioned to complement the process of manual metadata creation.

1. Quality, Relevance and Importance in Information Retrieval with Fuzzy Semantic Networks TMRA 2008 4th International Conference on Topic Maps Research and Applications 15 -17 October 2008 Leipzig Germany Dino Karabeg, OMS Group, Department of Informatics, University of Oslo Roy Lachica, Bouvet ASA Sasa Rudan, HeadWare Solutions

2. Topic Maps 2008, Oslo Subject

3. Roy Lachica The author of FUZZZY Knowledge is fuzzy!

4. Sale in Fisherman’s World Norwegian economy Fishing Not all associations are relevant

5. Jigsaw puzzle idea of knowledge

7. Value Matrix Criteria Ways of evaluating

9. Quality, Relevance and Importance in Information Retrieval with Fuzzy Semantic Networks TMRA 2008 4th International Conference on Topic Maps Research and Applications 15 -17 October 2008 Leipzig Germany Dino Karabeg, OMS Group, Department of Informatics, University of Oslo Roy Lachica, Bouvet ASA Sasa Rudan, HeadWare Solutions

10. Quality, Relevance and Importance in Information Retrieval with Fuzzy Semantic Networks TMRA 2008 4th International Conference on Topic Maps Research and Applications 15 -17 October 2008 Leipzig Germany Dino Karabeg, OMS Group, Department of Informatics, University of Oslo Roy Lachica, Bouvet ASA Sasa Rudan, HeadWare Solutions

11. Quality, Relevance and Importance in Information Retrieval with Fuzzy Semantic Networks TMRA 2008 4th International Conference on Topic Maps Research and Applications 15 -17 October 2008 Leipzig Germany Dino Karabeg, OMS Group, Department of Informatics, University of Oslo Roy Lachica, Bouvet ASA Sasa Rudan, HeadWare Solutions

13. The Ultimate Goal Getting the right information at the right time and place (Enhancing Information Retrieval systems)

21. Ontology

22. Sample socio-semantic contextual network Strengthened assoc (important for user) Strengthed assoc (topic 2 topic relevance)

23. QRI Implementation

24. Context implementation AssocId userId PSI val 234 567 http://xxx 0.8 234 567 http://xx2 0.3 567 321 http://xx3 0.7 .... subject A subject B

25. QRI in Resource Ranking

26. User-centered Resource Ranking

27. Ranking in the Context of a Specific Topic

30. Thank you