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Summary of Knowledge Discovery for Semantic Web

Summary of Knowledge Discovery for Semantic Web.

dylan-gallegos
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Summary of Knowledge Discovery for Semantic Web

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  1. Summary of Knowledge Discovery for Semantic Web Article by DunjaMladenic, Marko Grobelnik, Blaz Fortuna, and MihaGrcar, Chapter 3 in Semantic Knowledge Management: Integrating Ontology Management, Knowledge Discovery, and Human Language Technologies, Springer Verlag, Berlin, 2009, 21-35 Summary by Andrew Zitzelberger

  2. What is the Semantic Web? • The Semantic Web can be seen as mainly dealing with the integration of many, already existing ideas and technologies with the specific focus of upgrading the existing nature of web-based information systems to a more “semantic” oriented nature.

  3. What is Knowledge Discovery? • Knowledge discovery can be defined as a process which aims at the extraction of interesting (non-trivial, implicit, previously unknown, and potentially useful) information from data in large databases.

  4. How Does Knowledge Discovery Help Us? • Ontology Construction • Domain understanding (what is the area we are dealing with?) • Information Retrieval • Data understanding (what is the available data and how is it related?) • Machine Learning and Data Mining • Task definition (what to do with the data ?) • Ontology population • Extending the ontology • Ontology learning (semi-automated process) • Ontology evaluation (estimate quality of solutions) • Gold Standards • Human refinement (iterate)

  5. How Does Knowledge Discovery Help Us? • Domain Knowledge • Capture domain specifics • Track user’s search interests • Dynamic Data • How does data change over time? • Data drift and visualization of data changes • Multimodal and Multilingual Data • Non-textual data • Pre-processing other forms of data into more useful representations

  6. Tools • OntoClassify • Used for ontology population • OntoGen • Used to edit topic ontologies • SEKTbar • Used to maintain dynamic user profiles • Creates an ontology to model the interests of the user in order to highlight items of expected interest on the pages the user is visiting.

  7. SEKTbar

  8. SEKTbar

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