Study on Product Information Model for Collaborative Product Design Based on Ontology

Wang, Youyuan; Nie, Peng-biao; Wang, Falin; Guo, Chaoyang; Dai, Xian-ming

doi:10.1007/978-3-642-37270-4_95

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Ontology and Semantic Web1

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2013

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“…Ontology is a formal description of the shared model, Perez, and etc. contended that ontology could be organized by taxonomy, and summed up the five basic modeling primitives of ontology, including concepts or classes, relations, function, axioms and instance [2][3][4][5]. Design knowledge representation strategy based on ontology can be divided into top-down and bottom-up methods.…”

Section: Ontology and Semantic Webmentioning

confidence: 99%

Retrieval and Clustering for Multiple Disciplines Design Knowledge Based on Ontology and Semantic

Zhang

2013

AMM

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This paper presents a new kind of retrieval and clustering solution for multiple disciplines design knowledge during complex product development. The main contributions of this study can be focused on four points: The first is to distinguish the concepts and contents of ontology theories and semantic web. The second is to map the distinction and relationship between concepts to similarity and correlation of product design knowledge. The substances of conceptual hierarchy are introduced and their formal descriptions are given in the article. The third is to explore the specific calculation methods for semantic similarity and relevancy using the above theories and approaches. Finally, a model for design knowledge retrieval if proposed, and the tactics for knowledge retrieval and clustering are given.

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Section: Ontology and Semantic Webmentioning

confidence: 99%

Retrieval and Clustering for Multiple Disciplines Design Knowledge Based on Ontology and Semantic

Zhang

2013

AMM

View full text Add to dashboard Cite

show abstract

Study on Product Information Model for Collaborative Product Design Based on Ontology

Cited by 1 publication

References 6 publications

Retrieval and Clustering for Multiple Disciplines Design Knowledge Based on Ontology and Semantic

Retrieval and Clustering for Multiple Disciplines Design Knowledge Based on Ontology and Semantic

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