Authors:
Gintare Krisciuniene
;
Lina Nemuraite
;
Rita Butkiene
and
Bronius Paradauskas
Affiliation:
Kaunas University of Technology, Lithuania
Keyword(s):
Ontology, Business Concepts, Business Rules, Representation, Meaning, SBVR, OWL 2, Transformation.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Collaboration and e-Services
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Semantic Web
;
Soft Computing
;
Symbolic Systems
Abstract:
Our research is concentrated on defining transformation rules from OWL 2 ontologies into SBVR vocabularies and rules without a loss of information and the expressive power, characteristic for ontologies, overcoming the fact that some ontology-specific concepts have no direct representation in SBVR. Our focus is on generic transformation rules, but the particular attention is devoted to ontologies and vocabularies related with semantic search in Lithuanian Internet corpus. Therefore, we consider some particular constructs related with our application domain, including the idea of creating domain-specific lexical ontologies, related with domain ontologies and capable to support semantic annotating and search.