Title :
An ontological approach to identify expert knowledge in academic institution
Author :
Kalaiselvi, K. ; Balamurugan, P.S.
Author_Institution :
Karpagam Univ., Coimbatore, India
Abstract :
Recently there has been a growing interest in treating knowledge as a significant resource. Knowledge is essentially defined as an asset in an academic institution. Due to the large repository of the Intranet, searching the experts in various field is difficult. Availability of the data in the institutional repository will be in different formats (pdf, ppt, excel etc). In order to organize the data, a common terminology should be adopted. Ontology is used to capture the domain knowledge. With this objective personalized ontology is constructed. It enables the institutional heads to identify the experts in specific domain in order to enhance the growth of the academic institution in the competitive world.
Keywords :
educational administrative data processing; educational institutions; ontologies (artificial intelligence); academic institution; domain knowledge; expert knowledge identification; institutional repository; intranet; ontological approach; personalized ontology; Expert Knowledge; Generic Ontologies; Ontological;
Conference_Titel :
Current Trends in Engineering and Technology (ICCTET), 2013 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-2583-4
DOI :
10.1109/ICCTET.2013.6675924