Authors:
Huy Pham
;
Deborah Stacey
and
Rozita Dara
Affiliation:
University of Guelph, Canada
Keyword(s):
Workflow composition, Ontology-driven planning framework, Planning ontology, Ontology-driven workflow composition, Workflow composition.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Decision Support Systems
;
Domain Analysis and Modeling
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Symbolic Systems
Abstract:
Existing planning-based approaches to ontology-driven workflow composition (ODWC) integrate planning into their frameworks and ontologies in ways that are either less reusable or ineffective. A more modular and reusable design is possible, but a successfull application of this design requires addressing some important practicality issues. In this paper, we provide a comprehensive survey of existing approaches to intelligent ontology-driven workflow composition, discuss the practicality challenges associated with building ontology driven and planning-based workflow composition systems, and present a reusable and practical ontology driven planning framework that could be used for such purposes.