Using reason mining to analyze external expert reviews for research project selection

Author

Likuan Zhang ; Wei Xu

Author_Institution

Sch. of Inf., Renmin Univ. of China, Beijing, China

fYear

2014

fDate

25-27 June 2014

Firstpage

1

Lastpage

6

Abstract

External expert review analysis is a critical important task in funding agencies, such as Beijing Natural Science Foundation (BNSF). In this paper, a novel research framework is proposed for expert review analysis using reason mining. In the proposed framework, evaluation criteria ontology is firstly constructed, and then data pre-processing is carried out to refine the reviews. Finally, reason mining is offered to give the evidence of review scores and comments. Experimental results show the effectiveness and efficiency of the proposed framework. The proposed framework can be used in funding agencies to improve the evaluation quality of expert reviews for research project selection.

Keywords

data mining; ontologies (artificial intelligence); research and development; reviews; text analysis; data pre-processing; evaluation criteria ontology; external expert review analysis; reason mining; research project selection; text mining; Accuracy; Decision support systems; Ontologies; Testing; Text mining; Training; classification; expert reviews; reason mining; research project selection; text mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Service Systems and Service Management (ICSSSM), 2014 11th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4799-3133-0

Type

conf

DOI

10.1109/ICSSSM.2014.6943336

Filename

6943336