Network Based Approach for Discovering Academic Researchers with Shared Interests

Author

Xu, Yunhong ; Chang, Zhihua ; Lin, Jiejia ; Ma, Jian ; Hao, Jinxing ; Zhao, Dingtao

Author_Institution

Sch. of Manage., Univ. of Sci. & Technol. of China, Hefei, China

fYear

2010

fDate

7-9 May 2010

Firstpage

1864

Lastpage

1867

Abstract

Interest or expertise of researchers is a kind of knowledge in organization, like university, research institute and research community. Effectively management of this kind of knowledge can facilitate communication of members in organization and improve their performance. Researchers´ cognitive limit and large amount of relevant information available present great challenge to discover researchers with similar interests. Previous research addresses this problem by investigating their research related relationships. The social network based approached do not satisfy researchers´ needs due to their failure to take into consideration the semantic information related to research interests. To solve this problem, in this research, we propose an integrated model based on ontology and social network analysis to mine researchers with similar interests.

Keywords

data mining; knowledge management; ontologies (artificial intelligence); academic researcher discovering; knowledge management; ontology; researchers mining; shared interests; social network based approach; Collaboration; Communities; Electronic mail; Organizations; Semantics; Social network services; Symmetric matrices; expert finding; knowledge management; network analysis; ontology; similarity measure;

fLanguage

English

Publisher

ieee

Conference_Titel

E-Business and E-Government (ICEE), 2010 International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-0-7695-3997-3

Type

conf

DOI

10.1109/ICEE.2010.471

Filename

5592745