S.O. Kosenko, post-graduate student,
Pukhov Institute for Modelling in Energy Engineering, NAS of Ukraine;
15, General Naumov St, Kyiv, 03164, Ukraine, e-mail:This email address is being protected from spambots. You need JavaScript enabled to view it.

Èlektron. model. 2018, 40(1):93-114


The paper presents general information about a notion “ontology” historical derivation. Apart from this different ways of ontology term transformation for usage in artificial intelligence systems are analyzed. Ontology is regarded there as a complex of knowledge for clear representation of the data about events, phenomena, general and special notions concerning society, laws and the world. Apart from this, ontology is developed to supply different information about the subject of interest. There are a number of ontologies, namely surface, top, domain ones and so on, which form a base for further development of knowledge based systems and their application in combination with artificial intelligence and a set of databases for improving the process of logical
thinking and making relevant decisions. Ontologies are of particular importance for law and legal theory for rule formalization, accepting court resolutions and providing information about precedents and untypical cases. The ontology design criteria are also given along with the peculiarities of their application in legal domain. Ontologies are formed with specific goals, but there are no ways of forming their contents and design. The main task to be followed in ontology creation deals with the strict and clear formulation of the idea of ontology with allowance for the link between different ontologies.


ontology, law, artificial intelligence, conceptualization, domain of law.


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