Actor model and knowledge management systems: social interaction as a framework for knowledge integration

Authors:
Irma Becerra-Fernandez;TeWei Wang;Gul Agha;Thant Sin
Affiliations:
College of Business Administration, Decision Sciences and Information Systems, Florida International University, Miami, FL;College of Business Administration, Decision Sciences and Information Systems, Florida International University, Miami, FL;Siebel Center for Computer Science, University of Illinois at Urbana-Champaign, Urbana, Illinois;College of Business Administration, Decision Sciences and Information Systems, Florida International University, Miami, FL
Venue:
WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
Year:
2005

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Abstract

Expertise locator systems (ELS) are a special type of knowledge management systems that are used to help locate intellectual capital. The searchable answer-generating environment (SAGE) is an expertise locator system that was developed to identify experts in the state of Florida. This presentation describes an application of the actor model of computation to the development of expertise locator systems (ELS). The actor model describes an approach to modeling intelligence in terms of a society of communicating knowledge-based problem experts where each expert may in turn be viewed as a society of primitive actors. A conceptual implementation for SAGE, and ELS in general, based on the actor model as a design paradigm is described. Practical applications for an actor-model based ELS are also discussed.