Computers in Industry - Special double issue: WET ICE '95
An Ontology for Quality Management — Enabling Quality Problem Identification and Tracing
BT Technology Journal
Formal models for expert finding in enterprise corpora
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Voting for candidates: adapting data fusion techniques for an expert search task
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Knowledge Management Strategies: Toward a Taxonomy
Journal of Management Information Systems
Linked data on the web (LDOW2008)
Proceedings of the 17th international conference on World Wide Web
CI-KNOW: recommendation based on social networks
dg.o '08 Proceedings of the 2008 international conference on Digital government research
Review and Alignment of Tag Ontologies for Semantically-Linked Data in Collaborative Tagging Spaces
ICSC '08 Proceedings of the 2008 IEEE International Conference on Semantic Computing
Improving the accuracy of job search with semantic techniques
BIS'07 Proceedings of the 10th international conference on Business information systems
Identifying unreliable sources of skill and competency information
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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Expert profiling and identification are important to both knowledge workers and organizations. To this end, skills management and expert recommender systems facilitate the management of skills and competencies and help find appropriate experts to meet a particular need. In this paper, we present a technique for generating evolving expert profiles of individuals composed of their skills and competencies using heterogeneous data from divergent sources of information. We use self-declarations, completed learning activities, and previous work experience to generate the initial profile. Recommendations, "wisdom of the crowd"", direct observations of online and offline activities, and content generated by the individual both within the organization and on the Web are then used to enrich the profiles and to assess and validate skills and competencies over time.