ONTOLOGY-BASED DESIGN RATIONALE RETRIEVAL SUPPORTING NATURAL LANGUAGE QUERY

被引：0

作者：

Li, Luye ^{[1
]}

Qin, Feiwei ^{[1
]}

Gao, Shuming ^{[1
]}

Qin, Xiaolian ^{[1
]}

机构：

[1] Zhejiang Univ, State Key Lab CAD & CG, Hangzhou 310058, Zhejiang, Peoples R China

来源：

PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2014, VOL 1B | 2014年

关键词：

REPRESENTATION MODEL; KNOWLEDGE;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Design rationale is an important category of design knowledge. Effective reuse of design rationale depends on its successful retrieval. In this paper, an ontology-based design rationale retrieval approach is presented, based on which, users can input natural language questions to search what they want. First, a database of ontology-based design rationale is constructed, which supports SPARQL query. Then, several SPARQL templates are defined according to different knowledge query requirements in engineering design domain. Moreover; a SPARQL query generating method is proposed to generate SPARQL query from natural language query automatically through template matching and keywords extending. Finally, a design rationale retrieval prototype system is implemented, and the experimental results show the advantages of the proposed approach.

引用

页数：12

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