
Recent knowledge systems built on ontological or other models are mostly centralized solutions. By evaluation of administration application and pilot sites of the project we discovered that for administration application where business processes are well defined it is reasonable and useful to use knowledge based on facts rather than on uncertain knowledge. Such facts are structured and defined by ontologies. This is why knowledge base in Pellucid consists only of strongly true facts. This is known as a fundamental problem of contradictory knowl-edge in computer systems. When using uncertain knowledge or knowledge where true and false facts are not strongly defined, computer systems cannot discover new facts in existing knowledge base using logical operators. extended FIPA-SL language however, uncertain knowledge is still quite complicated and not understandable especially for the agents themselves. Some methods are known to represent uncertain knowledge even in agent systems by e.g. probability measures, fuzzy logic or computing with words. Several methods can be used to represent such knowledge, e.g. Human knowledge is based not only on facts which are true or false but also on uncertain knowledge which is true or false partially. The ability to use ontology makes Pellucid easy to customize for different problem domains by simply changing domain ontology.
#Pellucid creations meaning software#
Pellucid uses the socalled Intelligent Software Agents based on FIPA stan- dards, for different activities as capitalizing and data mining of knowledge, personalizing of knowledge, indexing and analyzing organizational document repositories or for integration of existing systems in organization.

The Pellucid System is particularly aimed to capture, record and capitalize the knowledge of current employees about their work in an organization. Pellucid (Platform for Organizationally Mobile Public Employees) is European Project IST-2001- 34519.

Laclavik, Zoltan Balogh, Ladislav Hluchy, Renata Slota, Krzysztof Krawczyk 3 and Mariusz Dziewierz 3 Motivation for this article has come from Pellucid project.
