Toward The Semantic Deep Web

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    Toward The Semantic Deep Web - Presentation Transcript

    1.  
    2. What The Problem?
      • Consider a typical web page
      • Mark-up consists of: rendering information
      • Semantic content is accessible to humans but not (easily) to computers …
      • Machine requires Natural Language understanding
    3. Our Goal
      • Accessing the deep web by various web technologies
      • e.g. XML Schema, RDF, OWL
      • Represent the data in a machine accessible way
      • Enriching ontologies using this data
    4. The Semantic Web The Semantic Web is an extension of the current web in which information is given well-defined meaning , better enabling computers and people to work in co-operation . [Tim Berners-Lee , 2001]
    5. Accessing semantic deep web
      • Two main approaches-
      • Ontology plug-in search
      • Deep web service annotation
      • Both approaches require a semantic deep web crawler or bot.
    6. Ontology plug-in search Referent Form Search engine replies refers to evokes Concept “ Jaguar“
    7. Ontology plug-in search
      • Two processes-
      • Harvesting concepts or deep web form attribute.
      • Iteratively link this concepts to build enriched ontology.
      This ontology provides- - domain specific terms. - useful relationship and further related information.
    8. Deep web service annotation How to represent data in a machine accessible way?
      • Semantic data signature represented in computational graph
      • -XML
      • -RDF
      • -RDF Schema
      • -OWL (Web ontology language)
    9. The Semantic Web Layers Standard Standard Standard
    10. XML
      • User definable and domain specific markup
      <course date= “...” > <title> ... </title> <teacher> ... </teacher> <name>...</name> <http>...</http> <students> ... </students> </course> File Format Tree Structure
      • Why not use XML to represent ontologies?
      • XML makes no commitment on:
      • Domain specific ontological vocabulary
      • Conceptual meaning
      course teacher title students name http =
    11. RDF(Resource Description Framework)
      • A mechanism for annotating data and resources
      • RDF is a graphical formalism
        • -for representing metadata about Web resource
        • -for describing the semantics of information in a machine- accessible way
    12. RDF(S): RDF Schema
      • Defines vocabulary for RDF
      • Organizes this basic vocabulary terms and the relations between those terms
        • -Class, subClassOf, type
        • -Property, subPropertyOf
        • -domain, range
      Has Supervisor Person subClassOf subClassOf type domain range type
    13. OWL :Web Ontology Language
      • Ontologies standardize and formalize the meaning of words through concepts
      • It helps softbots by serving knowledge about synonyms, antonyms, semantic relationship between concept.
    14. Conclusion Ontology helps to find the concepts. Semi-automatic ontology generation from the deep web, quality of ontology measurement(reliability) is challenging. It requires natural language processing.
    15. Reference
      • Y. Sure and R. Studer. Vision for Semantically-Enabled Knowledge Technologies. Online at: KTweb -- Connecting Knowledge Technologies Communities, 2003.
      • Search on the semantic web IEEE Computer october 2005.
      • www.w3.org/TR/owl-features/
      • . M. Dean and G. Schreiber, OWL Web Ontology Language Reference , Feb. 2004; http://www.w3.org/ TR/2004/REC-owl-ref-20040210/.
      • T. Berners-Lee, J. Hendler, and O. Lassila, “ The Semantic Web ,” Scientific American , May 2001

    + Samiul HoqueSamiul Hoque, 3 weeks ago

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