Authors:
Wei Yan
1
;
Cécilia Zanni-Merk
2
and
François Rousselot
2
Affiliations:
1
LGECO/INSA de Strasbourg, France
;
2
LSIIT/BFO Team and UMR CNRS 7005, France
Keyword(s):
Semantic distance, Information content, WordNet, Inventive design.
Related
Ontology
Subjects/Areas/Topics:
Applications and Case-studies
;
Artificial Intelligence
;
Data Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Ontology Matching and Alignment
;
Symbolic Systems
Abstract:
The gradual development of inventive design techniques makes that numerous knowledge sources are available for experts to solve inventive problems in different technical and non-technical fields. Real-world problems are established in terms of parameters that are inherent to the artefact being developed, but inventive design techniques use generalized engineering parameters to propose solutions to the problem. An abstraction effort needs to be provided to choose, then, the best generalized parameter. In this paper, we firstly present the inventive principles ontology we have established as a support for our approach. According to this ontology, we propose a method to calculate the semantic distance between short texts and use it to fill the semantic gap between the parameter and the generalized one, to facilitate the use of inventive design techniques.