Measuring Similarity between Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
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
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Ontologies for supporting engineering analysis models
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
Computational Linguistics
Measures of semantic similarity and relatedness in the biomedical domain
Journal of Biomedical Informatics
Metonymic and holonymic roles and emergent properties in the SNOMED CT ontology
AOW '06 Proceedings of the second Australasian workshop on Advances in ontologies - Volume 72
A methodology for engineering ontology acquisition and validation
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
A Decision Support Ontology for collaborative decision making in engineering design
CTS '09 Proceedings of the 2009 International Symposium on Collaborative Technologies and Systems
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Improved knowledge management through first-order logic in engineering design ontologies
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Semantic similarity of ontology instances tailored on the application context
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
Hi-index | 0.00 |
Semantic technologies are playing an increasingly popular role as a means for advancing the capabilities of knowledge management systems. Among these advancements, researchers have successfully leveraged semantic technologies, and their accompanying techniques, to improve the representation and search capabilities of knowledge management systems. This paper introduces a further application of semantic techniques. We explore semantic relatedness as a means of facilitating the development of more ''intelligent'' engineering knowledge management systems. Using semantic relatedness quantifications to analyze and rank concept pairs, this novel approach exploits semantic relationships to help identify key engineering relationships, similar to those leveraged in change management systems, in product development processes. As part of this work, we review several different semantic relatedness techniques, including a meronomic technique recently introduced by the authors. We introduce an aggregate measure, termed ''An Algorithm for Identifying Engineering Relationships in Ontologies,'' or AIERO, as a means to purposely quantify semantic relationships within product development frameworks. To assess its consistency and accuracy, AIERO is tested using three separate, independently developed ontologies. The results indicate AIERO is capable of returning consistent rankings of concept pairs across varying knowledge frameworks. A PCB (printed circuit board) case study then highlights AIERO's unique ability to leverage semantic relationships to systematically narrow where engineering interdependencies are likely to be found between various elements of product development processes.