International Journal of Human-Computer Studies
An overview of the ONIONS project: applying ontologies to the integration of medical terminologies
Data & Knowledge Engineering - Special issue on formal ontology and conceptual modeling
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Eight Questions about Semantic Web Annotations
IEEE Intelligent Systems
A hybrid approach for searching in the semantic web
Proceedings of the 13th international conference on World Wide Web
Semantic integration: a survey of ontology-based approaches
ACM SIGMOD Record
Special Issue: Engineering applications of representations of function, Part 1
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Ontology Matching
The model of roles within an ontology development tool: Hozo
Applied Ontology - Roles, an interdisciplinary perspective
Physical concept ontology for the knowledge intensive engineering framework
Advanced Engineering Informatics
oMAP: combining classifiers for aligning automatically OWL ontologies
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
Matching unstructured vocabularies using a background ontology
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
An approach to query relaxation using ontologies in a GIS-based archiving system
Proceedings of the Third ACM SIGSPATIAL International Workshop on GeoStreaming
Mapping adaptation actions for the automatic reconciliation of dynamic ontologies
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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This paper discusses ontology mapping between two taxonomies of functions of artifacts for the engineering knowledge management. The mapping is of two ways and has been manually established with deep semantic analysis based on a reference ontology of function for bridging the ontological gaps between the taxonomies. We report on the successful results thanks to such deep analysis not at the lexical level but at the ontological level. Using the mapping knowledge, we developed a semantic search system which can provide engineers with interoperable access to technical documents by searching for functional metadata based on either of functional taxonomies.