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KM and Semantic Web

KM and Semantic Web. Anuj Nanavati. Objective. Introduction Semantic Web components Framework for KM on semantic Web Impacts of semantic Web on KM Technologies RDF Discussion. Semantic Web.

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KM and Semantic Web

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  1. KM and Semantic Web Anuj Nanavati

  2. Objective • Introduction • Semantic Web components • Framework for KM on semantic Web • Impacts of semantic Web on KM • Technologies • RDF • Discussion

  3. Semantic Web • “The Semantic Web is a project that intends to create a universal medium for information exchange by giving meaning (semantics), in a manner understandable by machines, to the content of documents on the Web. It extends the ability of the Web through the use of standards, markup languages and related processing tools”. – wikipedia • Thought up by Tim Berners-Lee, inventor of the WWW, URIs, HTTP, and HTML • An extension to the current Web • Currently under control of w3c

  4. Semantic Web Components • Expressing meaning • Knowledge representation • Ontologies • Agents

  5. Expressing Meaning • Today's Web is for people not for computers • Document for people and information for agents • In semantic Web Information is given well-defined meaning, better enabling computers and people to work in cooperation • Anything can link to anything, no limitations on content and information • Decentralized ???

  6. Knowledge Representation • Access to • Structured collection of information • Sets of inference rules • Automated reasoning • Semantic Web to provide a language for expressing data and rules for reasoning about the data • Describing complex Web objects without tricking agents

  7. Ontologies • Document that defines relation among terms • Taxonomy • Classes and subclasses of objects • Relation among them • Inference rules to express relation • Meaning of terms on a Web page can be defined by pointers from the page to an ontology • Answer indirect complicated questions

  8. Agents • Software programs • Transfer semantic data among themselves • Service discovery through common unifying language • Exchanging ontologies • Bootstraping by discovering new ontologies • Services • Trusted: proofs, digital signatures • searching

  9. Framework for KM on the Semantic Web

  10. Impact of Semantic Web on KM • Coordination between knowledge and workings of humans with software agents • Precision in searching for knowledge • Indexing using ontology-based statements • Problem relevant knowledge retrieval • Joining various subcultures ???

  11. How? • XML: Extensible markup language • Basic doc structure with no semantic • Structure to the data • RDF: Resource description framework • RSS: Really simple syndication • URI: Uniform resource identifier • DAML: DARPA agent markup language • vCal and vCard

  12. authored-by Article URL Author Resource Description Framework - RDF • Representing information about resources • Language for ontologies • Any resource – not only content • Resources represented by URIs • 3 structural part of a RDF statement • Subject • Object • Predicate: relation • “The article is authored by the author”

  13. Discussion Questions • Role of AI in semantic Web • Issues • Security • Privacy • Intellectual property • Need for humans?

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