1. Personalized Interaction with Web Resources First Sino-German Symposium on KNOWLEDGE HANDLING: REPRESENTATION, MANAGEMENT AND PERSONALIZED APPLICATION Nicola Henze IVS - Semantic Web Group & L3S Research Center, Leibniz University Hannover

2. Nov. 6th, 2007Nicola Henze2 Outline Web 2.0 & Semantic Web Combining the user‘s Web with the machine‘s Web: GroupMe! Demo Challenges and contributions First evaluation results Outlook: Current and future work

3. Nov. 6th, 2007Nicola Henze3 Web 2.0: „Web of the users“ Characterized by Easy-to-use applications Collaboration Knowledge sharing Examples: Flickr, Youtube, Del.icio.us, Bibsonomy & Co. Blogs, Wiki & Co. Myspace, Facebook & others

4. Nov. 6th, 2007Nicola Henze4 Semantic Web: „Machine-processable semantics“ Impact for Personalization: Reliable information on Web Resources and their relations  Benefits for traditional approaches (Web Mining / Adaptive H.)  Additional information for mining the Web Graph  Information for adaptively selection (parts of) resources, relations of interest, create shortcuts, …  Cutting Edge: Web resources are separated from presentation / delivery  Content: Different usage scenarios, different delivery controls, re-use of content  Metadata: exploit, syndicate, reason!  Rule-based content / information control & syndication

5. Nov. 6th, 2007Nicola Henze5 Semantic Web Technologies for Personalization Reasoning on Resources:  Advantage of explaining why the personalization functionality derived a result: create user awareness, improving user acceptance, enable interactive controllability. Service-Orientation: Establishing Services on the Web - literally & technically  Services offering Personalization:  Services which carry out some task for a certain user / user group  Recommendation Serivces, Context- or Location-aware Service, Notification Service, Syndication Service, Information Broker Service, Scheduling Service  Personalization of Services:  Personalized access to and customizing of (semantic) Web services

6. Nov. 6th, 2007Nicola Henze6 Combining Web 2.0 and Semantic Web GroupMe! Fills a gap in current tools: between pure tagging and Wiki GroupMe highlights: Organizing & sharing Web resources (easy-to-use) RDF „production engine“ (capturing of valuable semantics) Intuitive user interface (drag & drop, media wrappers)

7. Nov. 6th, 2007Nicola Henze7

8. Nov. 6th, 2007Nicola Henze8 Folksonomy / Folksonomy with Groups

9. Nov. 6th, 2007Nicola Henze9 The grouping advantage Group context for capturing metadata Contextual Search Quality estimations & ranking

10. Nov. 6th, 2007Nicola Henze10 Preliminary Evaluation: Tagging and Types of Resources Tagging behavior: In average 1.85 tags per resource  in average 2.53 tags per group  In average 1.73 tags per resource Media type distribution in groups: Images: 41.01% Videos: 8.57% RSS feeds: 4.55% Groups: 1.87% Others: 43.96 %

11. Nov. 6th, 2007Nicola Henze11 Preliminary Evaluation: Search Preliminary evaluation gives support for our hypotheses: Users are interested in the new group concept: Groups as search results! Contextual search allows to detect relevant results (untagged resources)

12. Nov. 6th, 2007Nicola Henze12 Outlook GroupMe! Easy-to-use application for organizing multimedia Web resources Capturing of valuable Semantics (user interactions, grouping as „hand- selected resources, media wrappers and metadata extraction) Current and Future Work Ranking of Resources (e.g. random surfer in group context, similarity ranking) Social recommendations (popularity & co-occurences) Community identification, community-based ranking and recommendation GroupMe! - http://www.groupme.org