1. School of something FACULTY OF OTHER School of Computing FACULTY OF ENGINEERING Semantic - Enhanced Community Modelling to Support Knowledge Sharing Kleanthous Styliani www.comp.leeds.ac.uk/stellak

2. School of Computing FACULTY OF ENGINEERING Oct 30th 2007 Reading Group Session Overview This Research Algorithms Study Initial Results Community Relationship Model Centrality Individual User Model

3. This Research… Research Focus: Provide holistic personalised support in VC Main Assumptions: Providing adaptation tailored to the community as a whole will help the community function better. By promoting the building of TM, development of SMM, and establishment of CCs and identifying CCen inside the community, will improve the functioning of this community Oct 30th 2007 Reading Group Session This Research Algorithms Study Initial Results

4. This Research… Research Questions R1: How to extract a computational model to represent the functioning and evolution of the community as a whole, using semantically enhanced tracking data? R2: Using that model, how to provide personalised functionality to support the development of TM, building of SMM, establishment of CCs and identification of CCen? R3: How can personalised support of the above processes affect the functioning of the community? Oct 30th 2007 Reading Group Session This Research Algorithms Study Initial Results

5. TM CCs CCen SMM Community Model Community Model Acquisition Community Model Application Oct 30th 2007 Reading Group Session This Research Algorithms Study Initial Results

6. The Example Community - BSCW Oct 30th 2007 Reading Group Session This Research Algorithms Study Initial Results

7. Oct 30th 2007 Reading Group Session Input Formalisation… ENVIRONMENT E: Folder F: H F : Taxonomy of Folders Resource R: RCreatedData: RMetadata: <RTitle, RAuthor, RSource, RKeywords, RDatePublish> Based on Dublin Core Metadata element set Member M: This Research Algorithms Study Initial Results

8. Community Model Relationships Model User Interests Participation Cognitive Centrality Relationships Personal Hierarchies ReadRes InterestSim UploadSim ReadDisc Individual User Models Community Context Popular Topics Peripheral Topics Cognitively Central Members ReadSim Oct 30th 2007 Reading Group Session This Research Algorithms Study Initial Results

9. Modelling Relationships… ReadRes Relationship because A read resources uploaded by B WordNet Oct 30th 2007 Reading Group Session This Research Algorithms Study Initial Results

10. Modelling Relationships… ReadSim & UploadSim ReadSim: Relationship because A reads resources similar to those B reads. UploadSim: Relationship because A uploads resources similar to those B uploads. WordNet Oct 30th 2007 Reading Group Session This Research Algorithms Study Initial Results

11. Modelling Relationships… InterestSim Similarity between two members interests WordNet Oct 30th 2007 Reading Group Session This Research Algorithms Study Initial Results

12. Capturing Centrality… This Research Algorithms Study Initial Results Oct 30th 2007 Reading Group Session

13. Run from Oct 2005 – Dec 2006 BSCW data anonymised & converted into.txt Extracted data using Java Data stored on a MySQL Database Input to algorithms to extract the Community Model This Research Algorithms Study Initial Results The Study…

14. Oct 30th 2007 Reading Group Session Members34 Isolates8 Only uploading4 Only downloading13 Uploading & Downloading9 Total Resources Uploaded244 Initial Results Community Relationship Model Centrality Individual User Model Overview…

15. Oct 30th 2007 Reading Group Session Activity… Initial Results Community Relationship Model Centrality Individual User Model

16. Uploading… Oct 30th 2007 Reading Group Session Initial Results Community Relationship Model Centrality Individual User Model

17. Downloading… Oct 30th 2007 Reading Group Session Initial Results Community Relationship Model Centrality Individual User Model

18. ReadRes… Oct 30th 2007 Reading Group Session Support: Identify complementary knowledge Who holds information I am interested in? Improve TM Initial Results Community Relationship Model Centrality Individual User Model

19. Reading Only… Oct 30th 2007 Reading Group Session Have ReadRes with the same members Support: Identify people who are interested in what I am interested. Encourage Collaboration -Building SMM -Improve TM Initial Results Community Relationship Model Centrality Individual User Model

20. Member 5 Oct 30th 2007 Reading Group Session Member 2 Member 9 Only downloading Have exactly the same ReadRes relations Support: Encourage collaboration Motivate contribution Initial Results Community Relationship Model Centrality Individual User Model

21. ReadSim… Oct 30th 2007 Reading Group Session Support: Identify relationships that members are not aware of Who is reading resources similar to those I am reading? Who is interested in similar resources as I am? Improve TM Initial Results Community Relationship Model Centrality Individual User Model

22. Oct 30th 2007 Reading Group Session Reading resources from the same people Support: Develop awareness of this similarity Improve TM/SMM Encourage collaboration Facilitate knowledge Sharing Initial Results Community Relationship Model Centrality Individual User Model

23. Oct 30th 2007 Reading Group Session UploadSim… Very strongly connected Support: Identify people who are not uploading & encourage them to contribute Make people aware of their similarities Improve SMM/TM Support Collaboration Initial Results Community Relationship Model Centrality Individual User Model

24. InterestSim… Oct 30th 2007 Reading Group Session Support: Identify interest similarity & complementarities Who has interests similar to a given member? Motivate contribution Encourage collaboration Improve SMM/TM Initial Results Community Relationship Model Centrality Individual User Model

25. Cognitive Centrality… Oct 30th 2007 Reading Group Session Support: Where important knowledge is located? Where unique knowledge is located? Improves TM/SMM Motivation mechanism Initial Results Community Relationship Model Centrality Individual User Model

26. Oct 30th 2007 Reading Group Session Member 12 uploaded only one resource 29.4% of the community read his resource Support: Display similar members, motivate to contribute/ read Use ReadSim to motivate Improve TM/SMM ReadRes Ego Network UploadSim Ego Network Initial Results Community Relationship Model Centrality Individual User Model

27. Newcomer Integration… Oct 30th 2007 Reading Group Session ReadRes Ego Network of Member 19 Support: Use ReadRes to help member integrate. Who holds knowledge important to this member? Improve TM Initial Results Community Relationship Model Centrality Individual User Model

28. Member 33 uploaded 11 resources Never read a resource Support: Help members like 33 to integrate Identify similar members & motivate this member to contribute Improve TM/SMM Encourage Collaboration Support Newcomer Integration Oct 30th 2007 Reading Group Session Ego Network UploadSim & InterestSim Ego Network Integration Problem… Initial Results Community Relationship Model Centrality Individual User Model

29. Future Work… Ontology integration What will it be different? Community model evaluation Model community changes over time Relationships Individual Extend an existing system Evaluation with users Oct 30th 2007 Reading Group Session This Research Algorithms Study Initial Results

30. Summary… TM, SMM, CCen can be used to support Virtual Communities Modelling semantic-enhanced relationships can help us to identify what support is needed A holistic support may provide the foundations for a sustainable virtual community Oct 30th 2007 Reading Group Session This Research Algorithms Study Initial Results