PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Web ontology segmentation: analysis, classification and use
Proceedings of the 15th international conference on World Wide Web
Ontology module extraction for ontology reuse: an ontology engineering perspective
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Modular reuse of ontologies: theory and practice
Journal of Artificial Intelligence Research
A logical framework for modularity of ontologies
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Conservative extensions in expressive description logics
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Dynamic selection of ontological alignments: a space reduction mechanism
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Safe and economic re-use of ontologies: a logic-based methodology and tool support
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Ontology modularization for knowledge selection: experiments and evaluations
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
Task Oriented Evaluation of Module Extraction Techniques
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Evaluating ontology modularization approaches
Proceedings of the 8th International Conference on Frontiers of Information Technology
A comprehensive framework for the evaluation of ontology modularization
Expert Systems with Applications: An International Journal
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Ontology modularization has received growing interest from the research community lately, since it supports tasks such as ontology design/reuse and knowledge selection and integration. Most of the research efforts have concentrated on approaches to extract modules, or generate partitions from an ontology. However these approaches are influenced by different definitions of ontology modularization and thus tend to vary w.r.t. the concepts and properties in the ontology that should define the module, and on the characteristics that modules should exhibit, which often depend on the task for which the modularization process is performed. This diversity of approaches makes the comparative evaluation of the output of different modularization processes hard to perform. In this paper, we propose an entropy inspired measure for modularization, Integrated Ontology Entropy, that approximates the information content of modules, and hence provides a profile for the module generated. This measure is independent of the modularization technique used, and is calculated as a function of the number of edges connecting the named concepts in the ontology, when a graph representation of the ontology is utilized. In the paper we apply this measure to different modularization techniques and we empirically show how the measure captures different characteristics of modules, such as the degree of redundancy and the level of connectedness.