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Ontology and Search on the Semantic WEB

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How about cross-lingual search? Do we always need texts? Pisa Sep ... Cross-lingual search (2) Query: courses on 1800 century painting at European universities ... – PowerPoint PPT presentation

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Title: Ontology and Search on the Semantic WEB


1
Ontology and Searchon the Semantic WEB
  • SPINN PhD course
  • PISA, September 2004
  • Patrizia Paggio

2
Outline
  • What is wrong with current search engines?
  • The Semantic WEB Vision
  • Semantic tagging
  • Ontologies
  • Practical assignment

3
What is wrong with current search engines?
  • Answer to a search is a list of texts, but
  • Is it the right texts?
  • How about cross-lingual search?
  • Do we always need texts?

4
Is it the right texts?
  • Query Rom i dansk maleri fra 1800-tallet
  • Rome in Danish painting from 1800
  • Answer
  • Dyreetiske RÃ¥d... Knudsen, Johannes Døden i Rom.
    ... Dansk kunst fra 1800-tallet i ... kunst,
    islamisk kunst fra ... Symbolismen i dansk og
    europæisk maleri ...
  • (Committee for animal ethics... Knudsen, Johannes
    Death in Rome... Danish art i the 19th century
    in... art, Islamic art from... symbolism in
    Danish and European painting...)

5
Is it the right texts? (2)
  • Syntax ignored
  • no relation between Rom and dansk maleri in the
    text.
  • Semantics ignored
  • from maleri one should be able to get to malere
    (painters), billeder (paintings) etc.

6
Cross-lingual search (1)
  • Query courses on 1800 century painting
  • Answers
  • University of Wisconsin-Madison
  • Center for European Studies (Univ. Wisconsin)
  • Rutgers, State University of New Jersey
  • University of Dublin
  • Enchanted Learning
  • Only English-speaking, mostly American.

7
Cross-lingual search (2)
  • Query courses on 1800 century painting at
    European universities
  • Answers
  • University of Wisconsin-Madison
  • Elon University, North Carolina
  • University College of London
  • Institute of Art History in Marburg
  • Cornell
  • Still mostly English speaking, especially
    American!

8
Do we always need texts?
  • Hvad er email-adresserne pÃ¥ alle forskere pÃ¥ KUA?
  • (All emails of researchers from Humanities)
  • We would like to see

What can we do now? web-page-ku.htm
9
Summary search engines
  • More syntax and semantics
  • Extraction of knowledge from texts and databases
    rather than just text retrieval
  • Extraction of knowledge from texts on different
    languages

10
The Semantic WEB
  • A more intelligent WEB in which information
    (documents and other data) are tagged so that
    computer application understand them, or know
    how to use them.
  • 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 cooperation.
  • (Berners-Lee, Hendler and Lassila 2001)

11
Semantic tagging (1)
  • HTML documents are tagged so that browsers
    understand their syntax and show them to users
    who interpret them.
  • lth3gt Patrizia Paggio lt/h3gt
  • ltpgt Employee at lta href"http//cst.dk"gt CST lt/agt
    in Copenhagen lt/pgt
  • ltpgt Titel Seniorforsker lt/pgt
  • ltpgt Email patrizia_at_cst.dk lt/pgt

12
Semantic tagging (2)
  • Semantic metadata make the content of WEB pages
    explicit.
  • hasName (SeniorResearcher, Patrizia Paggio)
  • hasName (ResearchCentre, CST)
  • Affiliated (Patrizia Paggio, CST)
  • subClass (SeniorResearcher, employee)
  • hasProperty (Patrizia Paggio, emailpatrizia_at_cst.d
    k)
  • hasProperty (CST, urlhttp//cst.dk)

13
Defining semantic tagsConcept hierarchies
Employee
Faculty
Administrative
Researcher
Assistent
Professor
Lecturer
Senior Researcher
14
Adding relations
15
Ontologies What are they?
  • A domain ontology defines concepts and relations
    between them for a specific domain.
  • It provides the semantic vocabulary for semantic
    tagging on the semantic WEB.
  • For domain ontologies to be useful, they must
    conform to standards (W3C).
  • Examples XML, RDF, OIL, DAML-OIL, OWL, Topic
    Maps.

16
Ontologies - Repositories
  • DAML Ontology library
  • 282 ontologies
  • total no. of classes 67987
  • total no. properties 11149
  • total no. of instances 43646

17
Ontology-based querying
  • Hvad er email-adresserne pÃ¥ alle forskere pÃ¥ KUA?
  • will retrieve a list of emails and researchers
    provided that
  • relevant pages are tagged semantically
  • current standards are used
  • the agent (search engine) knows the underlying
    ontology or can find it.

18
Ontologies Some issues
  • Some crucial issues
  • How are ontologies produced?
  • How is the semantic tagging produced?
  • Will knowledge referring to the same domain
    always be described by the same ontology? What if
    it doesnt?
  • How is knowledge expressed in different languages
    related to the same domain ontology?

19
Practical assignment (1)
  • Define ontologies for web pages in different
    languages. Find
  • Classes Organisation
  • Subclasses Institute is-a Organisation
  • Instances Person Patrizia Paggio
  • Attributes Email (Person)
  • Relations Teach (Teacher, Course)

20
Practical assignment (2)
  • (2) Define correspondences between the
    ontologies.
  • Ontology I Relation Ontology II
  • Person Equivalent Person
  • Professor Similar Professor
  • (3) Discuss the principles followed to establish
    the correspondences.
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