Search Engine: Approaches and Performance

Knowledge Management In The Kiwi Project

The KIWI project aims at representing and managing organizational knowledge using technologies and methodologies based on Semantic technologies. Taxonomy and/or more complex structures, like ontologies, are key elements to structure the knowledge base of an organization. The KIWI project develops a set of open source tools, which allow for a formal domain representation and enable creative cooperation among users and interaction with the knowledge base:

• •

  OntoMaker, an ontology editor;

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  OntoMeter, a tool to evaluate the quality of a formal representation;

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  OntoAssistant, a tool for semiautomatic document annotations;

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  Semantic Navigator, a tool to browse ontology and knowledge base.

We have proposed a methodology to provide a more effective automatic document classification process. In particular, the methodology comprises four steps:

• 1.

  Developing a conceptual structure (an informal taxonomy) that presents the knowledge domain of the eBMS-ISUFI;

• 2.

  Defining rules for each category through positive and negative training set;

• 3.

  Filling the hierarchical structure with documents through semi-automatic classification;

• 4.

  Testing the quality of the classification rules, through precision, recall and F-measure, refining of the classification rules and periodic taxonomy maintenance.

This methodology has been applied to the Virtual eBMS knowledge management system.

This technological platform, developed by ISUFI-eBMS University of Lecce, provides numerous tools for organizational knowledge management.