A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
Measuring Similarity between Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Practical Reasoning for Expressive Description Logics
LPAR '99 Proceedings of the 6th International Conference on Logic Programming and Automated Reasoning
Methodologies, tools and languages for building ontologies: where is their meeting point?
Data & Knowledge Engineering
Appendix: description logic terminology
The description logic handbook
ε-connections of abstract description systems
Artificial Intelligence
Coupling and cohesion metrics for knowledge-based systems using frames and rules
ACM Transactions on Software Engineering and Methodology (TOSEM)
Coupling Metrics for Ontology-Based Systems
IEEE Software
A semiotic metrics suite for assessing the quality of ontologies
Data & Knowledge Engineering - Special issue: Natural language and database and information systems: NLDB 03
The Description Logic Handbook
The Description Logic Handbook
Just the right amount: extracting modules from ontologies
Proceedings of the 16th international conference on World Wide Web
Pellet: A practical OWL-DL reasoner
Web Semantics: Science, Services and Agents on the World Wide Web
Reasoning and change management in modular ontologies
Data & Knowledge Engineering
Formalizing the Role of Goals in the Development of Domain-Specific Ontological Frameworks
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
An Interface-Based Ontology Modularization Framework for Knowledge Encapsulation
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Modular Ontologies: Concepts, Theories and Techniques for Knowledge Modularization
Modular Ontologies: Concepts, Theories and Techniques for Knowledge Modularization
A semantic importing approach to knowledge reuse from multiple ontologies
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Conjunctive query answering for the description logic SHIQ
Journal of Artificial Intelligence Research
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
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
Semantic oriented ontology cohesion metrics for ontology-based systems
Journal of Systems and Software
LUBM: A benchmark for OWL knowledge base systems
Web Semantics: Science, Services and Agents on the World Wide Web
A knowledge encapsulation approach to ontology modularization
Knowledge and Information Systems
A comparison of reasoning techniques for querying large description logic ABoxes
LPAR'06 Proceedings of the 13th international conference on Logic for Programming, Artificial Intelligence, and Reasoning
Modelling ontology evaluation and validation
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Modular ontologies – a formal investigation of semantics and expressivity
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
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Ontologies, which are formal representations of knowledge within a domain, can be used for designing and sharing conceptual models of enterprises information for the purpose of enhancing understanding, communication and interoperability. For representing a body of knowledge, different ontologies may be designed. Recently, designing ontologies in a modular manner has emerged for achieving better reasoning performance, more efficient ontology management and change handling. One of the important challenges in the employment of ontologies and modular ontologies in modeling information within enterprises is the evaluation of the suitability of an ontology for a domain and the performance of inference operations over it. In this paper, we present a set of semantic metrics for evaluating ontologies and modular ontologies. These metrics measure cohesion and coupling of ontologies, which are two important notions in the process of assessing ontologies for enterprise modeling. The proposed metrics are based on semantic-based definitions of relativeness, and dependencies between local symbols, and also between local and external symbols of ontologies. Based on these semantic definitions, not only the explicitly asserted knowledge in ontologies but also the implied knowledge, which is derived through inference, is considered for the sake of ontology assessment. We present several empirical case studies for investigating the correlation between the proposed metrics and reasoning performance, which is an important issue in applicability of employing ontologies in real-world information systems.