An automatic answering system with template matching for natural language questions

Author(s):  
T Gunawardena ◽  
M Lokuhetti ◽  
N Pathirana ◽  
R Ragel ◽  
S Deegalla
Author(s):  
Luye Li ◽  
Feiwei Qin ◽  
Shuming Gao ◽  
Xiaolian Qin

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.


Author(s):  
Luye Li ◽  
Shuming Gao ◽  
Ying Liu ◽  
Xiaolian Qin

AbstractDesign rationale (DR) is an important category within design knowledge, and effective reuse of it depends on its successful retrieval. In this paper, an ontology-based DR retrieval approach is presented, which allows users to search by entering normal queries such as questions in natural language. First, an ontology-based semantic model of DR is developed based on the extended issue-based information system-based DR representation in order to effectively utilize the semantics embedded in DR, and a database of ontology-based DR is constructed, which supports SPARQL queries. Second, two SPARQL query generation methods are proposed. The first method generates initial SPARQL queries from natural language queries automatically using template matching, and the other generates initial SPARQL queries automatically from DR record-based queries. In addition, keyword extension and optimization is conducted to enhance the SPARQL-based retrieval. Third, a design rationale retrieval prototype system is implemented. The experimental results show the advantages of the proposed approach.


1987 ◽  
Vol 32 (1) ◽  
pp. 33-34
Author(s):  
Greg N. Carlson
Keyword(s):  

2012 ◽  
Author(s):  
Loes Stukken ◽  
Wouter Voorspoels ◽  
Gert Storms ◽  
Wolf Vanpaemel
Keyword(s):  

2004 ◽  
Author(s):  
Harry E. Blanchard ◽  
Osamuyimen T. Stewart
Keyword(s):  

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