Authors:
Adriano Rivolli
;
João Paulo Orlando
and
Dilvan A. Moreira
Affiliation:
ICMC - USP, Brazil
Keyword(s):
Rule acquisition, Rule visualization, Rule management, OWL, SWRL.
Related
Ontology
Subjects/Areas/Topics:
Applications of Expert Systems
;
Artificial Intelligence and Decision Support Systems
;
Cloud Computing
;
Enterprise Information Systems
;
Human-Computer Interaction
;
Interface Design
;
Semantic Web Technologies
;
Services Science
;
Software Agents and Internet Computing
Abstract:
The Semantic Web renewed a growing interest in rule based software systems and their development. Semantic Web Rule Language (SWRL) is a rule language that enables Horn-like rules to be combined with Web Ontology Language (OWL) knowledge bases to provide even more expressivity. However, as rule based web system mature, the number of rules they use grows making them difficult to manage. Developers face problems when trying to understand and control the big rule sets they create. In order to address this problem, techniques and tools are necessary to organize, view and create new rules as part of a large rule set. This work presents strategies and techniques developed in order to improve SWRL tools based upon a survey of rule tools, a study of the state of the art and the analysis of representative rule sets.