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Ontology Integration 1

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Title: Ontology Integration 1


1
CmpE 583- Web Semantics Theory and
PracticeONTOLOGY INTEGRATION
  • Atilla ELÇI
  • Computer Engineering Department
  • Eastern Mediterranean University

2
Introduction
  • SW data come associated with its ontology
  • Combining data from different sources requires
    integration of their corresponding ontologies
  • Integration of ontologies necessitates finding
    out terms that are same, like, and
    different in the ontologies to be integrated.
  • Formation of the resultant ontology using a
    graphical, OWL, and other languages is required.

3
Agenda
  • Taxonomy
  • Ontology
  • Integrating ontologies.

4
Overview of Taxonomies Smith et al
  • The study of the general principles of scientific
    classification SYSTEMATICS OF CLASSIFICATION
    especially orderly classification of plants and
    animals according to their presumed natural
    relationships Merriam-Webster OnLine
    http//www.m-w.com/
  • For a detailed account submit taxonomy at MW
    Rosetta Edition at A. Elçis home page.
  • The classification of information entities in
    the form of a hierarchy, according to the
    presumed relationships of the real-world entities
    that they represent
  • Class structure
  • A simple taxonomy Ref. Figure 7.1
  • Generalization vs. specialization Ref. Figure
    7.2
  • Tabular vs. tree forms Ref. Table 7.1 and Figure
    7.4.

5
Use of Taxonomies
  • Examples
  • Table 7.2 The Dewey Decimal System A Taxonomy
  • Table 7.3 The Dewey Decimal System 500 Natural
    Sciences and Mathematics.

6
Ontology Spectrum
  • The following concepts all attempt to address
    issues in representing, classifying, and
    disambiguating semantic content (meaning)
    taxonomies, thesauri, conceptual models, and
    logical theories.
  • Figure 7.5 The ontology spectrum Weak to strong
    semantics.
  • Taxonomy part-of, subclass-of relationship
  • Thesaurus equivalence, homographic,
    hierarchical, and associative relationships
    (Table 7.4).
  • Logical theory A set of axioms, inference rules,
    and theorems. In a logical theory, one can
    express the semantics of a model to the highest
    degree possible.

7
Ontology Spectrum (continued)
  • Ontology An ontology defines the common words
    and concepts (meanings) used to describe and
    represent an area of knowledge, and so
    standardizes the meanings.
  • An ontology includes the following
  • Classes (general things) in the many domains of
    interest
  • Instances (particular things)
  • Relationships among those things
  • Properties (and property values) of those things
  • Functions of and processes involving those things
  • Constraints on and rules involving those things.

8
Ontology Integration (in passing)
  • Data/Ontology Integration Systems Baojie-a
  • Mostly DB integration cases.
  • Bibliography on Ontology integration Baojie-b.
  • Appears more like a wizardry at this time.

9
Ontology Integration Methods
  • Probabilistic ontology mapping with explicit
    info
  • Sushama Prasad et al., "A Tool For Mapping
    Between Two Ontologies Using Explicit
    Information", InProceedings, AAMAS 2002 Workshop
    on Ontologies and Agent Systems, July 2002.
  • Context brokerage
  • Harry Chen et al., "Semantic Web in in the
    Context Broker Architecture", InProceedings,
    Proceedings of PerCom 2004, March 2004.
  • Smart environment
  • Harry Chen et al., "Intelligent Agents Meet the
    Semantic Web in Smart Spaces", Article, IEEE
    Internet Computing, November 2004.
  • Ontology ranking
  • Li Ding et al., "Swoogle A Search and Metadata
    Engine for the Semantic Web", InProceedings,
    Proceedings of the Thirteenth ACM Conference on
    Information and Knowledge Management , November
    2004.
  • Graphical methods
  • tba.
  • Summary of Combining and Relating Ontologies
  • Article by M. Klein Klein.

10
Where to Get More Information?
  • Smith et al Chapter 7 - Undstanding Taxonomies.
    In The Semantic Web A Guide to the Future of
    XML, Web Services, and Knowledge Management, 1st
    edition, by Kevin T. Smith, Michael C. Daconta,
    Leo J. Obrst. John Wiley Sons, 2003.
    ISBN0471432571. Available as e-book at ACM
    Professional Development Center.
  • Baojie-a Data/Ontology Integration Systems
  • Baojie-b Bibliography on Ontology integration
  • Klein M. Klein, Combining and Relating
    Ontologies an Analysis of Problems and
    Solutions, In Proc. The 17th Intl Joint Conf.
    On Artificial Intelligence (IJCAI-01), Workshop
    on Ontologies and Information Sharing, Vol. 47,
    pp53-62, Seattle, WA, USA, August 2001.
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