Abstract
Expertise recommender systems are a valuable tool for keeping track of who has expertise and in what areas within an organization. The key problem is acquiring validated knowledge of expertise and keeping that information up to date. In research organizations, publications are one source of evidence of expertise which can be used to identify who knows about what. In this paper we focus on evaluating the feasibility of a simple technique for uncovering expertise used as the foundation and starting point of maintaining a profile of validated expertise within an organization.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Aïmeur, E., Onana, F., Saleman, A.: HELP: A Recommender System to Locate Expertise In Organizational Memories. In: 2007 ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2007, Amman, Jordan, pp. 866–874 (2007)
Crowder, R., Hughes, G., Hall, W.: An agent based approach to finding expertise. In: Proceedings of the Fourth International Conference on Practical Aspects of Knowledge Management, Heidelberg, Germany, pp. 179–188 (2002)
Ehrlich, K., Lin, C.-Y., Griffiths-Fisher, V.: Searching for experts in the enterprise: combining text and social network analysis. In: GROUP 2007: Proceedings of the 2007 international ACM conference on Supporting group work, pp. 117–126. ACM, New York (2007)
Foner, L.: Yenta: A Multi-Agent Referral-Based Matchmaking System. In: AGENTS 1997: Proceedings of the 1st International Conference on Autonomous Agents Marina del Rey California, pp. 301–307 (1997)
Goldberg, D., Nichols, D., Oki, B.M., Terry, D.: Using collaborative filtering to weave an information tapestry. Communications of ACM 35(12), 61–70 (1992)
Kautz, H., Selman, B., Shah, M.: Referral Web: Combining Social Networks and Collaborative Filtering. Communications of ACM 40(3), 63–65 (1997)
Krulwich, B., Burkey, C.: The ContactFinder Agent: Answering Bulletin Board Questions with Referrals. In: Proceedings of the 1996 National Conference on Artificial Intelligence (AAAI 1996), Portland, Oregon, vol. 1, pp. 10–15 (1996)
McDonald, D.W., Ackerman, M.S.: Expertise recommender: a flexible recommendation system and architecture. In: Proceedings of the 2000 ACM Conference on Computer Supported Cooperative Work (CSCW 2000), Philadelphia, Pennsylvania, United States, December 2-5, pp. 231–240 (2000)
Pikrakis, A., Bitsikas, T., Sfakianakis, S., Hatzopoulos, M., DeRoure, D., Reich, S., Hill, G., Stairmand, M.: MEMOIR – Software Agents for Finding Similar Users by Trails. In: Proceedings of the 3rd International Conference on Practical Application of Intelligent Agents and Multi-agents, London, UK, pp. 453–466 (1998)
Prekop, P.: Supporting Knowledge and Expertise Finding within Australia’s Defence Science and Technology Organisation. In: Proceedings of the 40th Annual Hawaii International Conference on System Science (HICSS-40), Hawaii, January 3-6 (2007)
Reichling, T., Schubert, K., Wulf, V.: Matching human actors based on their texts: design and evaluation of an instance of the ExpertFinding framework. In: Proceedings of the 2005 International ACM SIGGROUP Conference on Supporting Group Work, Sanibel Island, Florida, USA, November 6 - 9, pp. 61–70 (2005)
Resnick, P., Varian, H.R.: Recommender systems. Communications of ACM, special issue 40, 56–58 (1997)
Vivacqua, A.: Agents for Expertise Location. In: Proceedings of AAAI Spring Symposium on Intelligent Agents in Cyberspace, Stanford, CA, pp. 9–13 (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Taylor, M., Richards, D. (2009). Discovering Areas of Expertise from Publication Data. In: Richards, D., Kang, BH. (eds) Knowledge Acquisition: Approaches, Algorithms and Applications. PKAW 2008. Lecture Notes in Computer Science(), vol 5465. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01715-5_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-01715-5_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01714-8
Online ISBN: 978-3-642-01715-5
eBook Packages: Computer ScienceComputer Science (R0)