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Supporting Multiple Points of View in Knowledge Organization


Affiliations
1 Centre for Knowledge Analytics and Ontological Engineering – KAnOE, Department of Computer Science and Engineering, PES Institute of Technology, Bangalore 560085, India
2 Centre for Knowledge Analytics and Ontological Engineering – KAnOE, Department of Computer Science and Engineering, PES Institute of Technology, Bangalore-560085, India
     

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Knowledge organization schemes typically assume a single point of view and a consequent single scheme of classification and a single set of categories with "standard" definitions and conceptual relationships. The real world, on the other hand, is full of multiple points of view that result in different conceptualizations and categories which are incompatible with each other. This article attempts to formulate the present lack of support for multiple points of view as a formal problem in ontological modeling and proposes a solution that enables multiple, incompatible views of the world to co-exist in a single KO scheme. Although a particular view in such a KO scheme is likely to be inconsistent with other views within the same scheme, the solution guarantees that each view presents a consistent conceptualization of the world or domain being organized. The proposed solution is expected to be of significant practical value in supporting multiple conceptualizations resulting from cultural, historical, philosophical, linguistic and political differences. This article also examines the gaps in current standards such as OWL and proposes an extension to OWL to enable multiple points of view.

Keywords

Knowledge Organization, Ontology, Owl, Multiple Conceptualization.
User
About The Authors

Kavi Mahesh
Centre for Knowledge Analytics and Ontological Engineering – KAnOE, Department of Computer Science and Engineering, PES Institute of Technology, Bangalore 560085
India

Pallavi Karanth
Centre for Knowledge Analytics and Ontological Engineering – KAnOE, Department of Computer Science and Engineering, PES Institute of Technology, Bangalore-560085
India


Notifications

  • David, S.; Touretzky, John F. and Horty, Richmond H. Thomason. (1987) A Clash of Instuitions: The Current State of Nonmonotonic Multiple Inheritance Systems. In Proceedings of International Joint Conferences on Artificial Intelligence, 1: 476.
  • Dean Allemang and James Hendler. (2011) Semantic Web for the Working Ontologist, 2nd edition, Morgan Kaufmann.
  • Mikel Egana Aranguren. (2009) Role and Application of Ontology Design Patterns in Bio-Ontologies, Thesis submitted to Manchester University.
  • Natalya, F. Noy and Mark, A. Musen. (2004) Specifying Ontology Views by Traversal, In Proceedings of International Semantic Web Conference - 2004, LNCS 3298, p. 713-725, 2004.
  • Official Website of Government of Karnataka – List of Departments, http://www. karunadu.gov.in/pages/departments.aspx
  • Ontology Design Patterns. http://www.ontologydesignpatterns.org
  • Ontology Views Project. Structural Informatics Group, University of Washington, http:// sig.biostr.washington.edu/projects/ontviews/
  • OWL2 Web Ontology Language Profiles. W3C Recommendation, www.w3.org/TR/owl2-profiles/
  • Pascal Hitzler; Markus Krotzsch and Sebastian Rudolph. (2010) Foundations of Semantic Web Technologies, CRC Press.
  • Protégé, Open Source Ontology Editor and Knowledge-Base Framework, Stanford University, http://protege.stanford.edu/ 11. Resource Description Framework. W3C Recommendation, www.w3.org/RDF/
  • Simple Knowledge Organization System Primer. http://www.w3.org/TR/2009/ NOTE-skos-primer-20090818/
  • Union Government Departments, Government of India, http://goidirectory.gov.in/ union_organisation.php?ct=E003
  • Web Ontology Language. W3C Recommendation, www.w3.org/2004/OWL/
  • Zhisheng, Huang; Frank, van Harmelen and Annette, ten Teije. (2006) Reasoning With Inconsistent Ontologies: Framework, Prototype and Experiment, Chapter 5, Semantic Web Technologies: Trends and Research in Ontology-based Systems, John Wiley and Sons, 2006.

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  • Supporting Multiple Points of View in Knowledge Organization

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Authors

Kavi Mahesh
Centre for Knowledge Analytics and Ontological Engineering – KAnOE, Department of Computer Science and Engineering, PES Institute of Technology, Bangalore 560085, India
Pallavi Karanth
Centre for Knowledge Analytics and Ontological Engineering – KAnOE, Department of Computer Science and Engineering, PES Institute of Technology, Bangalore-560085, India

Abstract


Knowledge organization schemes typically assume a single point of view and a consequent single scheme of classification and a single set of categories with "standard" definitions and conceptual relationships. The real world, on the other hand, is full of multiple points of view that result in different conceptualizations and categories which are incompatible with each other. This article attempts to formulate the present lack of support for multiple points of view as a formal problem in ontological modeling and proposes a solution that enables multiple, incompatible views of the world to co-exist in a single KO scheme. Although a particular view in such a KO scheme is likely to be inconsistent with other views within the same scheme, the solution guarantees that each view presents a consistent conceptualization of the world or domain being organized. The proposed solution is expected to be of significant practical value in supporting multiple conceptualizations resulting from cultural, historical, philosophical, linguistic and political differences. This article also examines the gaps in current standards such as OWL and proposes an extension to OWL to enable multiple points of view.

Keywords


Knowledge Organization, Ontology, Owl, Multiple Conceptualization.

References