A Distributed Approach to Sub-Ontology Extraction

  • Authors:

  • Mehul Bhatt;Andrew Flahive;Carlo Wouters;Wenny Rahayu;David Taniar;Tharam Dillon

  • Affiliations:

  • -;-;-;-;-;-

  • Venue:
  • AINA '04 Proceedings of the 18th International Conference on Advanced Information Networking and Applications - Volume 2
  • Year:
  • 2004

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Abstract

The new era of semantic web has enabled users to extractsemantically relevant data from the web. The backboneof the semantic web is a shared uniform structure which defineshow web information is split up regardless of the implementationlanguage or the syntax used to represent thedata. This structure is known as an ontology.As information on the web increases significantly in size,Web ontologies also tend to grow bigger, to such an extentthat they become too large to be used in their entirety by anysingle application. This has stimulated our work in the areaof sub-ontology extraction where each user may extract optimizedsub-ontologies from an existing base ontology.Sub-ontologies are valid independent ontologies, knownas materialized ontologies, that are specifically extracted tomeet certain needs. Because of the size of the original ontology,the process of repeatedly iterating the millions of nodesand relationships to form an optimized sub-ontology can bevery extensive. Therefore we have identified the need for adistributed approach to the extraction process. As ontologiesare currently widely used, our proposed approach fordistributed ontology extraction will play an important rolein improving the efficiency of information retrieval.