Authors:
João Paulo Orlando
1
;
Adriano Rívolli
1
;
Saeed Hassanpour
2
;
Martin J. O'Connor
2
;
Amar Das
2
and
Dilvan A. Moreira
1
Affiliations:
1
ICMC - Universidade de São Paulo, Brazil
;
2
Stanford Center for Biomedical Informatics Research, United States
Keyword(s):
SWRL Tool, SWRL API, Rule Tool, Rule SWRL, Rule Visualization, Rule Composition, Semantic Web, SWRL.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Cloud Computing
;
Collaborative Computing
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Semantic Web Technologies
;
Services Science
;
Society, e-Business and e-Government
;
Software Agents and Internet Computing
;
Web Information Systems and Technologies
Abstract:
The Semantic Web Rule Language (SWRL) allows the combination of rules and ontology terms, defined using the Web Ontology Language (OWL), to increase the expressiveness of both. However, as rule sets grow, they become difficult to understand and error prone, especially when used and maintained by more than one person. If SWRL is to become a true web standard, it has to be able to handle big rule sets. To find answers to this problem, we first surveyed business rule systems and found the key features and interfaces they used and then, based on our finds, we proposed techniques and tools that use new visual representations to edit rules in a web application. They allow error detection, rule similarity analysis, rule clustering visualization and atom reuse between rules. These tools are implemented in the SWRL Editor, an open source plug-in for Web-Protégé (a web-based ontology editor) that leverages Web-Protégé’s collaborative tools to allow groups of users to not only view and edit rul
es but also comment and discuss about them. We evaluated our solution comparing it to the only two SWRL editor implementations openly available and showed that it implements more of the key features present in traditional rule systems.
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