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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
Nov. 6th, 2007Nicola Henze 2
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
Nov. 6th, 2007Nicola Henze 3
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
Nov. 6th, 2007Nicola Henze 4
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
Nov. 6th, 2007Nicola Henze 5
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
Nov. 6th, 2007Nicola Henze 6
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)
Nov. 6th, 2007Nicola Henze 7
Nov. 6th, 2007Nicola Henze 8
Folksonomy / Folksonomy with Groups
Nov. 6th, 2007Nicola Henze 9
The groupingadvantage
•Group context for capturing metadata
•Contextual Search
•Quality estimations & ranking
Nov. 6th, 2007Nicola Henze 10
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 %
Nov. 6th, 2007Nicola Henze 11
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)
Nov. 6th, 2007Nicola Henze 12
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
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