DocumentCode :
2447472
Title :
A Semantic Query Tool for Evaluation Expert Knowledge Base
Author :
Zhang, Xiaoming ; Ma, Hongxia ; Fu, Dong
Author_Institution :
Sch. of Inf. Sci. & Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
fYear :
2012
fDate :
1-3 Nov. 2012
Firstpage :
260
Lastpage :
263
Abstract :
Peer review is the most important aspect of the project evaluation. The review comments of evaluation experts are important foundation for scientific decision-making. Therefore, how to select proper peer review experts is the key issue. This paper proposes an approach to select experts in a semantic way. Based on the semantic web technologies, an architecture is presented with an expert knowledge base and an expert semantic model. After the analysis of possible social relations between project applicants and evaluation experts, the expert semantic model is illustrated. Finally, a semantic query tool prototype is designed to show the effectiveness of the proposed approach. This tool will help to improve scientificalness, fairness and normativeness of project evaluations.
Keywords :
ontologies (artificial intelligence); query processing; reviews; semantic Web; expert knowledge base; expert semantic model; peer review experts; project evaluation; scientific decision-making; semantic Web technologies; semantic query tool prototype; Databases; Educational institutions; Knowledge based systems; OWL; Prototypes; Semantics; SPARQL; evaluation experts; ontology; semantic query;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networks and Intelligent Systems (ICINIS), 2012 Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4673-3083-1
Type :
conf
DOI :
10.1109/ICINIS.2012.60
Filename :
6376537
Link To Document :
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