A Proactive Inferencing Agent for Desk Support

We describe an approach towards integrating the semantics of semi-structured documents with tasksupport for (weakly-structured) business processes and proactive inferencing capabilities of a desk support agent. The proactive assistance of the intelligent agent is motivated by the requirements posed in (weakly-structured) business processes performed by a typical knowledge worker. First, we introduce a reactive agent that provides knowledge out of an organizational memory for the business task at hand. The building of the reactive agent requires rather rigid query structures that do not fit nicely with varying precision of knowledge found in the organizational memory. Thus, we propose an enhanced agent that reasons proactively about what might be interesting to you and what might be due in your next step.

[1]  Mark S. Ackerman,et al.  Memory in the Small: Combining Collective Memory and Task Support for a Scientific Community , 1999, J. Organ. Comput. Electron. Commer..

[2]  Matthias Klusch,et al.  Intelligent Information Agents , 1999, Springer Berlin Heidelberg.

[3]  Ruth C. King,et al.  A Goal-Based Workflow System for Multiagent Task Coordination , 1999, J. Organ. Comput. Electron. Commer..

[4]  Dimitris Karagiannis,et al.  Proceedings of the 4th International Conference on Practical Aspects of Knowledge Management , 2002 .

[5]  Mark S. Boddy,et al.  Anytime Problem Solving Using Dynamic Programming , 1991, AAAI.

[6]  Steffen Staab,et al.  Knowledge and Business Processes: Approaching an Integration , 2002 .

[7]  David Leake,et al.  Task-Based Knowledge Management* , 1999 .

[8]  Dieter Fensel,et al.  Ontobroker: Ontology Based Access to Distributed and Semi-Structured Information , 1999, DS-8.

[9]  Matthias Klusch,et al.  Intelligent Information Agents: Agent-Based Information Discovery and Management on the Internet , 1999 .

[10]  Stefan Decker,et al.  On Domain-Specific Declarative Knowledge Representation and Database Languages , 1998, KRDB.

[11]  Wolfgang Weitz Combining Structured Documents with High-Level Petri-Nets for Workflow Modeling in Internet-Based Commerce , 1998, Int. J. Cooperative Inf. Syst..

[12]  Andreas Abecker,et al.  Toward a Technology for Organizational Memories , 1998, IEEE Intell. Syst..

[13]  Dieter Fensel,et al.  The Knowledge Acquisition and Representation Language, KARL , 1995, Springer US.

[14]  Ulrich Reimer,et al.  EULE2: a knowledge-based system for supporting office work , 1998, SIGG.

[15]  Michael Kifer,et al.  Logical foundations of object-oriented and frame-based languages , 1995, JACM.

[16]  Henry Lieberman,et al.  Personal Assistants for the Web: An MIT Perspective , 1999 .

[17]  Asunción Gómez-Pérez,et al.  Knowledge Management through Ontologies , 1998, PAKM.

[18]  Harald Huber Document Research Based on Collaborative Provided Structural Knowledge , 1998, PAKM.

[19]  J. W. LLOYD,et al.  Making Prolog more Expressive , 1984, J. Log. Program..

[20]  Rudi Studer,et al.  Ontologies as Conceptual Models for XML Documents , 1999 .

[21]  Julie A. Adams,et al.  Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence , 2001, AI Mag..