INTERNATIONAL CONFERENCE ON INNOVATIONS IN SCIENCE AND EDUCATION (SOCIAL SCIENCES) MARCH 17, 2021, PRAGUE, CZECH REPUBLIC WWW.ISEIC.CZ, WWW.CBUIC.CZ 156 ONTOLOGY OF THE BULGARIAN CULTURAL HERITAGE. BULGARIAN FOLKLORE Tsvetomira Ivanova 1 , Iva Nedeleva 2 Abstract: This article presents the creation of an ontology describing Bulgarian folklore. The ontology has been developed based on the CCO (Cataloging Cultural Objects) standard. CCO leads us to provide data content standards. The set of ontologies is a knowledge base used by intelligent agents. One of the main problems with systems and developments describing different cultural and/or historical sites is the difficulty in sharing information between individual societies or systems. The use of standards greatly facilitates the dissemination of data. The CCO standard provides clear and precise definitions of the individual attributes that an object must possess. The ontologies developed by Protégé are designed in such a way as to meet the requirements of the standard. The created ontologies describe 7 folklore areas with specific ones being: music, dances and musical instruments. The work on creating this ontology directs us to create web applications of the developed ontologies. UDC Classification: 004.22, DOI: https://doi.org/10.12955/pss.v2.215 Keywords: Bulgarian musical folklore, otnologies, CatalogingCulturalObjects standard (CCO), knowledge data base Introduction Ontology and Cataloging Cultural Objects(CCO) Semantics in the field of information technology explores the meaning of things. In computer science, its analysis and interpretation usually use formal systems based on mathematical logic. "Semantic computing" refers to attempts to define the logical systems of computers, i.e. to define a formal language, grammar and inference apparatus as a format, data and computer program. The term "ontology" comes from philosophy and expresses the nature of existence: the nature of things that actually exist and how to describe them. Their connection is between the concepts of Cyber-Physical Spaces (CPS) and the Internet of Things (IoT). The connection between them is based on the integration of the virtual and physical worlds. When the person is at the center of such spaces, they become Cyber-Physical-Social Spaces (CPSS). Professor Stoyanov et al. (2019) names the CPSS ecosystem as the Virtual-Physical Space (ViPS). This ecosystem uses an agent-oriented approach that focuses on providing architectural and semantic modeling services. Agents that represent architectural components provide dynamism, flexibility and intelligence. Semantic models and ontologies in particular are an effective complement to enhance the intelligence of the space. The ontology is not only a standard classification or a hierarchical representation of concepts. The Web Ontology Language (OWL) ontology is based on Description Logics (DLs) – a class of formal languages used to represent knowledge. OWL seeks maximal expressiveness in logic description. This technology is popular in different areas of science such as medicine, biology, cultural-historic heritage, art, etc. The semantic models for data normalization are wide-spread relational databases and their utilization in different areas proves that the relational model of data is successfully applied in modeling, but creating a database using the normalization of data is a complicated process and this needs the use of more- convenient and powerful tools for modeling the respective data and requires the usage of semantic models of the data. The main advantage of semantic models is making the visualization of semantics for the data possible. This is how important features of objects are defined, their attributes and the link between them. Throughout the years, semantic models are developed in two main streams, which were established in the 1970s by Cod and Chen. The development of semantic models leads to a better expression of the meaning of data in those models, making them simpler to learn and fit them for usage by Case, with more realism and detailed descriptions when digitalizing real world objects. The first semantic model, Entity-Relationship (ER) was developed by Dr. Chen in 1976. Modeling the object is based on using graphical diagrams, containing a set of different components: objects, attributes and the link between objects. The most prominent tool for data modeling is the 1 Plovdiv University “Paisii Hilendarski”, Faculty of Mathematics and Informatics, Computer Systems Dept., Bulgaria, tsvetomira_kazashka@abv.bg 2 Plovdiv University „Paisii Hilendarski”, Faculty of Mathematics and Informatics,Computer Systems Dept., Bulgaria, iva.nedeleva@gmail.com