Abstract: In this paper, we present an agent-based approach for the improvement of searching in an ontology-based knowledge management system. The system implements a library scenario in which users query the repository for knowledge resources. Consequently, the so-called Librarian Agent plays the role of the human librarian in the traditional library it uses all possible information, about the domain vocabulary, the behaviour of previous users and the capacity of the knowledge repository, in order to help users find the resources they are interested in. We partially implemented the approach in the Web Portal of our Institute and some initial evaluation results are shown
Abstract. Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous i...
The purpose of our research is to develop an agent based knowledge management application framework ...
This thesis investigates how one can design a team of intelligent software agents that helps its hum...
Abstract: In this paper, we present an agent-based approach for the improvement of searching in an o...
While knowledge is viewed by many as an asset, it is often difficult to locate particularitems withi...
While knowledge is viewed by many as an asset, it is often difficult to locate particular items with...
Abstract. This work presents an approach in which user profiles, represented by ontologies that were...
The architecture of the future Digital Libraries should be able to allow any users to access availab...
With the explosive growth of information, it is becoming increasingly difficult to retrieve the rel...
Abstract. The search of information in heterogeneous systems is always a crucial task. Continuously ...
Nowadays an enormous quantity of heterogeneous and distributed information is stored in the digital ...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
The purpose of our research is to develop an agent based knowledge management application framework ...
Abstract. Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous i...
Expert finding systems (EFS) help organizations store and retrieve information about their experts w...
Abstract. Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous i...
The purpose of our research is to develop an agent based knowledge management application framework ...
This thesis investigates how one can design a team of intelligent software agents that helps its hum...
Abstract: In this paper, we present an agent-based approach for the improvement of searching in an o...
While knowledge is viewed by many as an asset, it is often difficult to locate particularitems withi...
While knowledge is viewed by many as an asset, it is often difficult to locate particular items with...
Abstract. This work presents an approach in which user profiles, represented by ontologies that were...
The architecture of the future Digital Libraries should be able to allow any users to access availab...
With the explosive growth of information, it is becoming increasingly difficult to retrieve the rel...
Abstract. The search of information in heterogeneous systems is always a crucial task. Continuously ...
Nowadays an enormous quantity of heterogeneous and distributed information is stored in the digital ...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
The purpose of our research is to develop an agent based knowledge management application framework ...
Abstract. Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous i...
Expert finding systems (EFS) help organizations store and retrieve information about their experts w...
Abstract. Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous i...
The purpose of our research is to develop an agent based knowledge management application framework ...
This thesis investigates how one can design a team of intelligent software agents that helps its hum...