The article presents an approach to modeling domain ontologies based on graph databases. Ontology is traditionally considered as a means of studying and formalizing the subject area. Based ontologies, knowledge bases information systems are formed, which can later be replenished used study certain applied aspects At same time, with development NoSQL technologies databases aimed at optimizing wo...

The International Society for the Study of Vascular Anomalies (ISSVA) provides a classification vascular anomalies that enables specialists to unambiguously classify diagnoses. This is only available in PDF format and not machine-readable, nor does it provide unique identifiers allow structured registration. In this paper, we describe process transforming ISSVA into an ontology. We also structu...

Abstract The literature on the modeling and management of data generated through lifecycle a manufacturing system is split into two main paradigms: product (PLM) product, process, resource (PPR) modeling. These paradigms are complementary, latter could be considered more neutral version former. There technologies associated with these ontologies databases. Database technology widespread in indu...

The quality of event log data is a constraining factor in achieving reliable insights process mining. Particular problems are posed by activity labels which meant to be representative organisational activities, but may take different manifestations (e.g. as result manual entry synonyms introduced). Ideally, such remedied domain experts, they time-poor and cleaning time-consuming tedious task. O...

ontology is the main infrastructure of the semantic web which provides facilities for integration, searching and sharing of information on the web. development of ontologies as the basis of semantic web and their heterogeneities have led to the existence of ontology matching. by emerging large-scale ontologies in real domain, the ontology matching systems faced with some problem like memory con...

ion [26]. 3 Roles of ontologies in software engineering Ontologies, for software design and development, can be used with the following objectives [29] [26]: • Specification: ontologies are used to specify either the requirements and components definitions (informal use) or the system ́s functionality. • Confidence: ontologies are used to check the system ́s design. • Reusability: ontologies coul...

This paper discusses current conceptions of ontology in computer science focussing on cultural specification and temporalization. It is pointed out, first, that ontologies arrange the world, they do not represent it; second, that ontologies, except logical Formal Ontologies, can be developed within a cultural framework; third, Top Level and Domain Ontologies have to be complemented by Pragmatic...

Data heterogeneity is the obstacle for resource sharing on Semantic Web (SW), and ontology regarded as a solution to this problem. However, since different ontologies are constructed maintained independently, there also exists problem between ontologies. Ontology matching able identify semantic correspondences of entities in ontologies, which an effective method address Due huge memory consumpt...

In the last years, ontology modeling became popular and thousands of ontologies covering multiple fields of application are now available. However, as multiple ontologies might be available on the same or related domain, there is an urgent need for tools to compare, match, merge and assess ontologies. Ontology matching, which consists in aligning ontology, has been widely studied and benchmarks...