DocumentCode
2854519
Title
Functional semantic retrieval for effects knowledge base
Author
Wu, Hongtao ; Zhang, Jinling ; Ma, Jianhong ; Tan, Runhua
Author_Institution
Sch. of Comput. Sci. & Software, Hebei Univ. of Technol., Tianjin, China
fYear
2011
fDate
6-9 Dec. 2011
Firstpage
644
Lastpage
648
Abstract
Effects, which are knowledge of scientific principles, can be used to transform inputs to outputs and achieve corresponding functions. To resolve a technical problem in innovative design, designers usually try to find the appropriate effects relevant to the required function. So it is very important to retrieve effect in terms of its function. This paper explores ontology-based functional semantic retrieval for effects knowledge base. To enhance the reasoning ability, the functional semantics of effects is represented as <;input flow list, action verb, output flow list>; in this paper. And functional ontology is used to expand the functional keywords in order to provide a variety of retrieval cues and trigger design inspiration. Using the functional semantic retrieval, designers obtain the lists of effects and/or chains of effects relevant to the required function, which greatly widen the solution space and increase opportunities for product innovation.
Keywords
information retrieval; knowledge based systems; ontologies (artificial intelligence); functional ontology; knowledge base; ontology-based functional semantic retrieval; product innovation; Cognition; Educational institutions; Knowledge based systems; Ontologies; Product design; Semantics; Technological innovation; effects knowledge base; functional semantic retrieval; innovative design; ontology reasoning;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
Conference_Location
Singapore
ISSN
2157-3611
Print_ISBN
978-1-4577-0740-7
Electronic_ISBN
2157-3611
Type
conf
DOI
10.1109/IEEM.2011.6117996
Filename
6117996
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