# Considerations On Construction **Ontologies**

Alexandru **Cicorta**ş 1, Victoria Stana Iordan 1, Alexandra Emilia **Forti**ş 2 1West University, Timiş**oara, Romania** 

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2"Tibiscus" University, Timiş**oara, Romania**
ABSTRACT**. The paper proposes an analysis on some existent** 
ontologies, in order to point out ways to resolve semantic heterogeneity in information systems. Authors are highlighting the tasks in a Knowledge Acquisiton System and identifying aspects related to the addition of new information to an intelligent system. A solution is proposed, as a combination of ontology reasoning services and natural languages generation. A multi-agent system will be conceived with an extractor agent, a reasoner agent and a competence management agent. 

Keywords: learning ontologies, knowledge acquisition, multiagent systems Introduction 

![0_image_2.png](0_image_2.png) The need for increasing the cognitive support knowledge engineering is a real requirement and a visual representation is a real need. Between knowledge representations are: Sowa based on the KIF [Gin91], CODE4 
[SL95], focused in more detail on the user experience, and also combined it with a logically rigorous representational semantics. In many domains like business-to-business e-commerce are required dynamic and open-interoperable information systems that are serviceoriented. Services are often made of sub-services and tasks that normally belong to autonomous participants. Inevitably the underlying information systems are distributed and autonomous. 

The semantics of diverse information sources is captured by their ontologies, i.e., the terms and relationships between them [CB00]. In tightly coupled applications, the intended meaning of a term is often implicit, thus 