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Ontology Management Del4: Survey, Requirement and Direction

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Title: Ontology Management Del4: Survey, Requirement and Direction


1
Ontology Management (Del4)Survey, Requirement
and Direction
  • Vrije Universiteit Amsterdam

2
Outline
  • Ontology library system
  • Evaluation models
  • Summary and requirement
  • Ontology versioning
  • Requirement
  • Proposal
  • Summary and conclusions

3
Ontology Library System (OLS)
  • Evaluation Model

4
Surveyed OLSs
  • WebOnto (http//eldora.open.ac.uk3000/webonto)
  • Knowledge Media Institute, Open University, UK,
  • Ontolingual (http//www-ksl-svc.stanford.edu5915/
    )
  • Knowledge Systems Laboratory, Stanford
    University, USA),
  • DAML Ontology library system (http//www.daml.org
    /ontologies/)
  • DAML, DAPAR, USA,
  • SHOE (http//www.cs.umd.edu/projects/plus/SHOE/)
  • University of Maryland, USA,
  • Ontology Server (http//www.starlab.vub.ac.be/rese
    arch/dogma/OntologyServer.htm)
  • Vrije Universiteit, Brussels, Belgium,
  • IEEE Standard Upper Ontology (http//suo.ieee.org/
    refs.html)
  • IEEE,
  • OntoServer (http//ontoserver.aifb.uni-karlsruhe.d
    e/)
  • AIFB, University of Karlshruhe, Germany
  • ONIONS (http//saussure.irmkant.rm.cnr.it/onto/)
  • Biomedical Technologies Institute (ITBM) of the
    Italian National Research Council (CNR), Italy.
  • Sesame (http//sesame.aidministrator.nl/)
  • Aidministrator, the Netherlands.

5
Management
  • Storage
  • Accessibility
  • client/server-based architecture
  • web accessible
  • Classification
  • It is necessary to classify ontology in an OLS in
    order to facilitate searching, managing and
    re-using ontology. Some of the ontology
    classification mechanisms available are based on
    distinguishable features of ontologies.

6
Management
  • Storage
  • Modular organization
  • serve to maximize cohesion within modules and
    minimize interaction between modules.
  • facilitate ontology re-use, ontology mapping and
    integration
  • ONIONS highlights the stratified design of an
    ontology library system.
  • Different naming policies assist OLS to achieve
    the modular organization or stratified storage of
    ontologies.
  • The disjointed partitioning of classes can
    facilitate modularity, assembling, integrating
    and consisting checking of ontologies.
  • Identification
  • Unique ontology URL, Identifier and name
  • Versioning
  • Unfortunately, only SHOE supports it.

7
Adaptation
  • Searching Editing
  • feature a visualized browsing environment, using
    hyperlinks or cross-references to closely related
    information.
  • support collaborative editing
  • offer advanced searching features
  • monitor user profiles based on access patterns in
    order to personalize the view of ontologies
  • Reasoning
  • A simple reasoning function should be included in
    order to facilitate ontology creation, ontology
    mapping and integration.

8
Standardization
  • Language
  • Syntactically, language should be standardized or
    inter- or intra- ontology language translation
    should be supported.
  • Semantically, OLS should feature the common
    vocabulary (or faceted taxonomy). At any rate, it
    should eliminate the implicitness and
    misunderstanding of terms in different
    ontologies.
  • Preferably, OLS should also support compatibility
    with or mapping between multiple controlled
    vocabularies from different domains (The
    structures of these common vocabularies or
    multiple controlled vocabularies must be faceted,
    or modulated. These vocabularies can help in
    simple synonym matching, sibling analysis, and
    disjoint partition checking).
  • Upper-level Ontology
  • Standard upper-level ontology is important for
    better organization of OLS (Ontolingua, IEEE
    SUO).

9
Others
  • Ontology scalability
  • increase the scale of ontologies.
  • Maintaining facility
  • provide some maintenance features, such as
    consistency checking, diagnostic testing, support
    for changes, and adaptation of ontologies for
    different applications.
  • Explicit documentation
  • extensively and explicitly documented
  • include such information as how the ontology was
    constructed, how to make extensions and what the
    ontologys naming policy, organizational
    principles and functions are.
  • pave the way for efficient ontology management
    and re-use.

10
Ontology versioning
  • Definition the ability to handle changes in
    ontologies by creating and managing different
    variants of it
  • Goalexploit as much knowledge as possible
  • Identification for every use of a concept or a
    relation, a versioning framework should provide
    an unambigious reference to the intended
    definition
  • Change tracking a versioning framework should
    make the relation of one version of a concept or
    relation to other versions of that construct
    explicit
  • Transparent evolution versioning methodology on
    the web should make clear which part of the data
    can still be valid interpreted

11
Ideas on ontology identification
  • Putting it together
  • different causes of change give different types
    of change
  • several types of compatibility
  • minimal ontological commitment for data sources
    maximizes validness of data across different
    versions

12
Identification and referring proposal
  • Distinguish between three classes of resources
  • files, ontologies, lines of backward compatible
    ontologies
  • Use URL for file identification, new URI scheme
    for other two
  • Two level numbering
  • minor numbers for backward compatible changes
  • major numbers for incompatible changes
  • Concepts that only differ in minor number are
    equivalent
  • Backward compatible additions are added as
    instance of class Addition class, e.g.
    Additions1.3
  • Data refers to the minimal necessary minor number

13
Summary
  • Well-structured Ontology Library systems (OLSs)
    are of the great importance to secure the
    efficient re-use of ontologies, including
    ontology generation, integration, mapping,
    maintenance, and versioning (evolving).
  • Robustness for change is essential for the
    Semantic Web
  • Ontology identification and referring is one of
    the most important aspects of versioning problem
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