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AN ENTERPRISE ONTOLOGICAL APPROACH<br />

FOR SEMANTIC WEB<br />

Adrian COZGAREA 1 , Gabriel COZGAREA & Delia BABEANU<br />

Bucharest Academy of Economic Studies, Romania<br />

ABSTRACT<br />

Considered part of artificial intelligence, ontologies became a technique over and over used<br />

in the analysis of informational systems from different domains. Because it enables<br />

description of structural characteristics and semantic in simple relative terms, and in WEB<br />

semantic conditions, facilitates the knowledge sharing between the different users. Ontologies<br />

bring a plus of knowledge in relation with "traditional" formalisms (Entity-Relationship<br />

model, Object-Oriented model, etc.). This article presents the formals specific to ontologies<br />

and proposes a relative ontology of the enterprise through the light of users' information on<br />

WEB.<br />

KEYWORDS: Informational systems, knowledge designing and management, ontologies,<br />

semantic WEB<br />

INTRODUCTION<br />

In the present conditions, when the informational organizations area is subjected to<br />

outstanding dynamics, analysis and modeling of informational systems invoke the<br />

existence of advanced techniques and methodologies, to allow as much of related<br />

activities are carried out automatically by means of appropriate software tools. To<br />

achieve such an aim the applications software or computers in general, to become able<br />

to "understand" all of the data or information exchanged, so that the analyst to be<br />

discharged from routine activities or irrelevant.<br />

The adoption of Internet specific technologies by most organizations has led to the<br />

increasing interdependence of their reason for modeling and designing information<br />

systems, a conceptual framework of the current ad (possibly standardized) common,<br />

reusable and sufficiently flexible. Such an objective can be achieved only through<br />

abstract universal formalisms, and completely independent of implementation<br />

techniques.<br />

The two objectives mentioned above, have become the artificial intelligence object<br />

study, more precisely of the knowledge representation systems, which offers a<br />

technique focused on the ontology term, a concept taken from the philosophy by<br />

which it is assigned to the branch of philosophy what is studying the traits of<br />

existence (Romanian Academy, Institute of Linguistics "Iorgu Iordan", 1998). In<br />

1 Correspondence address: Adrian COZGAREA, Academy of Economic Studies, Bucharest;<br />

email: acozgarea@gmail.com<br />

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