Answer Garden 2: merging organizational memory with collaborative help
CSCW '96 Proceedings of the 1996 ACM conference on Computer supported cooperative work
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Just talk to me: a field study of expertise location
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
Expertise recommender: a flexible recommendation system and architecture
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Open hypermedia as a navigational interface to ontological information spaces
Proceedings of the 12th ACM conference on Hypertext and Hypermedia
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
An Expertise Recommender Using Web Mining
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
A citation-based document retrieval system for finding research expertise
Information Processing and Management: an International Journal
Discovering Areas of Expertise from Publication Data
Knowledge Acquisition: Approaches, Algorithms and Applications
A researcher expertise search system using ontology-based data mining
APCCM '10 Proceedings of the Seventh Asia-Pacific Conference on Conceptual Modelling - Volume 110
Using dynamic fuzzy ontologies to understand creative environments
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Expert Systems with Applications: An International Journal
An information system to support the engineering designer
Journal of Intelligent Manufacturing
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In many organisations people need to locate colleagues with knowledge and information to resolve a problem. Computer based systems that assist users with finding such expertise are increasingly important to organizations and scientific communities. In this paper we discuss the development of an agent based expertise finder (EF) suitable for use within an academic research environment. A key feature of this work is that the EF returns both recommended contacts and supporting documentation. The EF bases its results on information held within the organisation, for example publications, human resource records and not on CVs or user maintained records. The recommendations are presented to the user with due regard to the social context, and are supported by the documents used to make the recommendation. The technology used allows the development of distributed, interchangeable agents that use real time data to find expertise. It is our intention to use this approach within manufacturing and other knowledge intensive organisations.