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

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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

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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

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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

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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

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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)

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Folksonomy / Folksonomy with Groups

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The groupingadvantage

•Group context for capturing metadata

•Contextual Search

•Quality estimations & ranking

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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 %

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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)

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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