Semantics Enabled Problem Based Brokering of Organizational Knowledge

  • Authors:

  • K. Kafentzis;M. Wallace;P. Georgolios;P. Alexopoulos;G. Mentzas

  • Affiliations:

  • IMC Research, Athens, Greece, {kkafentzis, pgeorgolios, palexopoulos}@imc.com.gr.;University of Indianapolis, Athens, Greece, wallace@uindy.gr;IMC Research, Athens, Greece, {kkafentzis, pgeorgolios, palexopoulos}@imc.com.gr.;IMC Research, Athens, Greece, {kkafentzis, pgeorgolios, palexopoulos}@imc.com.gr.;National Technical University of Athens, Athens, Greece, gmentzas@mail.ntua.gr

  • Venue:
  • Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
  • Year:
  • 2007

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Abstract

Knowledge deriving from owned information and experience is an asset that has begun to be recognised by organizations of various scales as a marketable product. In previous work we have developed a system that facilitated the formal description of knowledge possessed by an organization, so that external entities could search in it and request it. In this chapter we extend on that work in a couple of ways: i) we develop a mediator system enabling the search to concurrently consider multiple possible sources of information and ii) we allow for the query to posed on a more natural way by expressing the information needs of the requestor rather than by describing the information items that may satisfy these needs. Such a system opens the way for fully automated problem based online information brokering, which is expected to be the next trend in the knowledge market.