Paper Info
Title
Exploring RDF for Expertise Matching within an Organizational Memory
Abstract
Organizations have realized that effective development and management of their organizational knowledge base is very important for their survival in todays competitive business environment. People, as a special knowledge asset, also attract the interest of many researchers because, only through people communicating with one another, can they really share their tacit knowledge and skills that can be more valuable than explicit documentation. The need to be able to quickly locate experts among the heterogeneous data sources stored in the organizational memory has been recognized by many researchers. This paper examines the advantages of using RDF (Resource Description Framework) for Expertise Matching. The major challenge is to semantically integrate heterogeneous data sources stored in the organizational memory and facilitate users to locate the right people. We present a practical application of this using a case study where PhD applicants can locate potential supervisors before they formally apply to a university.
Year
DOI
Venue
2002
10.1007/3-540-47961-9_10
CA(i)SE
Keywords
Field
DocType
expertise matching,special knowledge asset,exploring rdf,organizational memory,resource description framework,right people,tacit knowledge,heterogeneous data source,organizational knowledge base,case study,phd applicant,semantic integration
Supervisor,Data mining,XML,Organizational memory,Computer science,Knowledge management,Organizational learning,Knowledge base,Tacit knowledge,Documentation,RDF
Conference
ISBN
Citations 
PageRank 
3-540-43738-X
3
0.60
References 
Authors
12
3
Name
Order
Citations
PageRank
Ping Liu1147.39
Jayne Curson2131.64
Peter M. Dew315829.71