Eliciting and modelling expert knowledge
Decision Support Systems
Problems of decision rule elicitation in a classification task
Decision Support Systems
A static analyzer for finding dynamic programming errors
Software—Practice & Experience
Algorithms for association rule mining — a general survey and comparison
ACM SIGKDD Explorations Newsletter
Constraint-Based Rule Mining in Large, Dense Databases
Data Mining and Knowledge Discovery
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
Optimization of Object-Oriented Programs Using Static Class Hierarchy Analysis
ECOOP '95 Proceedings of the 9th European Conference on Object-Oriented Programming
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Ontologies for Enterprise Knowledge Management
IEEE Intelligent Systems
Privacy preserving association rule mining in vertically partitioned data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A static analyzer for large safety-critical software
PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
Visualizing Association Rules for Text Mining
INFOVIS '99 Proceedings of the 1999 IEEE Symposium on Information Visualization
Business Rules as Organizational Policies
IWSSD '98 Proceedings of the 9th international workshop on Software specification and design
A User-driven and Quality-oriented Visualization for Mining Association Rules
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Ontology Based Context Modeling and Reasoning using OWL
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Defeasible logic programming: an argumentative approach
Theory and Practice of Logic Programming
An argumentation based approach for practical reasoning
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
An argumentation based approach for practical reasoning
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Towards an argument interchange format
The Knowledge Engineering Review
Rule identification using ontology while acquiring rules from Web pages
International Journal of Human-Computer Studies
Argumentation in artificial intelligence
Artificial Intelligence
Building explainable artificial intelligence systems
IAAI'06 Proceedings of the 18th conference on Innovative applications of artificial intelligence - Volume 2
An explainable artificial intelligence system for small-unit tactical behavior
IAAI'04 Proceedings of the 16th conference on Innovative applications of artifical intelligence
Rule definition for managing ontology development
RuleML'07 Proceedings of the 2007 international conference on Advances in rule interchange and applications
Visualizing logical dependencies in SWRL rule bases
RuleML'10 Proceedings of the 2010 international conference on Semantic web rules
An intelligent interface for rule elicitation
Proceedings of the sixth international conference on Knowledge capture
A software tool for visualizing, managing and eliciting SWRL rules
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
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Rule bases are increasingly being used as repositories of knowledge content on the Semantic Web. As the size and complexity of these rule bases increases, developers and end users need methods of rule abstraction to facilitate rule management. In this paper, we describe a rule abstraction method for Semantic Web Rule Language (SWRL) rules that is based on lexical analysis and a set of heuristics. Our method results in a tree data structure that we exploit in creating techniques to visualize, paraphrase, and categorize SWRL rules. We evaluate our approach by applying it to several biomedical ontologies that contain SWRL rules, and show how the results reveal rule patterns within the rule base. We have implemented our method as a plug-in tool for Protégé-OWL, the most widely used ontology modeling software for the Semantic Web. Our tool can allow users to rapidly explore content and patterns in SWRL rule bases, enabling their acquisition and management.