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Community Support Based on Thematic Objects and Similarity Search

Community Support Based on Thematic Objects and Similarity Search. N. Pinkwart , N. Malzahn, D. Westheide, H.U. Hoppe. Basic Idea. Computational tools used in learning contexts are highly heterogeneous – role of the computer differs

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Community Support Based on Thematic Objects and Similarity Search

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  1. Community Support Based on Thematic Objects and Similarity Search N. Pinkwart, N. Malzahn, D. Westheide, H.U. Hoppe

  2. Basic Idea • Computational tools used in learning contexts are highly heterogeneous – role of the computer differs • Frequently: digital media as a means for sharing and exchanging knowledge • Shared resources offer potential for community building • Approach: Based on archive content, determine interesting objects or persons

  3. Existing tools/techniques • Metadata standards • Address interoperabilty problems • Often manual creation neccessary • Does not solve naviagation and retrieval issues • Recommender Systems • Manual rating needed • Critical mass of participants/artifacts needed • Domain model needed for a lot of algorithms

  4. Proposed Approach Avoid problems with traditionalrecommendation algorithms – Use similar objects instead! What is similar? • Depends on the document content • Depends on the current learning context

  5. Similarity Search Metadata based similarity search • Manual creation of metadata is time consuming:Semi automatic (tool embedded) generation of metadata from the task context • Retrieval often requires rather complicated forms: Use current document as a first search template (associative lookups) • Standard Metadata is too generic:Extension of standard metadata to cover specific needs of the particular domain. Make use of ontologies to allow for higher-level access

  6. Flashback SWEL 2004

  7. Personal Computer: << component>>:Learning Object Repoitory << component>>:Cool Modes << component>>:ArchiveService Server: Java Method calls << component>>:WebService :SearchStrategy :SimilarityModel SQL Architecture sketch SOAP

  8. Similarity Search • Current state • Based on simple search strategies / similarity measures (boolean retrieval of keywords simple hit counting) • Promising results despite simple approach • Future Work • More elaborated (e.g. ontology based) retrieval and measures taking into account the structure of the document • Larger and distributed test cases

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