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A Rule-based Method for Extracting RDF(S) and OWL Sub-ontologies
 

Summary: A Rule-based Method for Extracting RDF(S) and
OWL Sub-ontologies
Sajjad Hussain and Syed Sibte Raza Abidi
NICHE Research Group, Faculty of Computer Science, Dahousie University, Canada
Abstract. Sub-Ontology extraction, from a large ontology, leads to the
generation of a specialized knowledge model that is pertinent to specific
problems. Existing sub-ontology extraction methods tend to either ren-
der a too generalized or a too restricted sub-ontology that at times does
not capture the entire semantics of the parent ontology. We present a sub-
ontology extraction method that using N3 rules to extract a sub-ontology
from RDF(S) and OWL ontologies whilst extending the semantics of the
extracted concepts and their relationships in the sub-ontology. Our ap-
proach features the following tenets (i) identifying the user-selected con-
cepts; (ii) extracting the user-selected concepts, their roles and their in-
dividuals; and (iii) extracting other concepts, roles and individuals that
are immediate structurally-connected with the user-selected concepts. As a
test-case, we present the sub-ontology extraction outcome for a healthcare
ontology representing Prostate Cancer care management.
1 Introduction
Ontologies [1] serve as the backbone for the Semantic Web as they provide for-

  

Source: Abidi, Syed Sibte Raza - Faculty of Computer Science, Dalhousie University

 

Collections: Computer Technologies and Information Sciences