Ontological Engineering

Major: System Analysis
Code of subject: 7.124.01.E.020
Credits: 5.00
Department: Information Systems and Networks
Lecturer: Ph.D., Associate Professor Basyuk Taras Mykhailovych
Semester: 2 семестр
Mode of study: денна
Мета вивчення дисципліни: The purpose of teaching the discipline is to study the basic principles of organization and construction of ontologies of computer information systems. The course includes: a cycle of lectures on the basics of ontological engineering and a cycle of laboratory work on their application. Formation of students in-depth theoretical and practical knowledge of: ontologies, the basics of descriptive logic, work in the Protege program, syntax and rules of the OWL language, WSDL structure, modeling technologies and management of complex processes.
Завдання: As a result of studying the academic discipline, the student should be able to demonstrate the following learning outcomes: 1. possession of knowledge and understanding of the scientific principles of creating an ontology and knowledge base of varying complexity; 2. knowledge of the description of ontologies and the ability to present facts and rules in declarative languages; 3. the ability to use knowledge and skills when describing relationships and constraints using descriptive logic; 4. the ability to create SPARQL queries is presented in the Resource Description Framework resource description environment 5. practical application of knowledge in the process of creating application support for the Semantic Web. 6. acquiring skills in ontology construction and modeling in the Protege editor. The study of an academic discipline involves the formation and development of students' competencies: Specialized - professional specialists: FCS 1.1. Ability to analyze data and knowledge, identify requirements for the organizational system from the external environment, knowledge, classification and compilation of knowledge, knowledge of the methodology of building ontologies.
Learning outcomes: RNS1.1 The ability to build mathematical models and methods of processing natural language, ontological engineering and the language of description of ontologies. KOM 1. Ability to communicate, including oral and written communication in Ukrainian and foreign languages (English, German, Italian, French, Spanish). KOM 2. The ability to use various methods, including modern information technologies, for effective communication at the professional and social levels. AiV 1. Ability to adapt to new situations and make appropriate decisions. AiV 2. The ability to realize the need for lifelong learning in order to deepen the acquired and acquire new professional knowledge. AiV 3. The ability to take responsibility for the work performed, to make decisions independently, to achieve the set goal in compliance with the requirements of professional ethics.
Required prior and related subjects: Computational intelligence Analysis of business processes Technologies for supporting decision-making processes Practice on the subject of the master's qualification work Defense of the master's thesis
Summary of the subject: The knowledge gained in the process of studying this discipline consists in revealing the epistemological features of the basic concepts of ontology and the formation of recommendations for the use of various types of technical means in solving the problems of design, construction and increasing the efficiency of their use. The theoretical foundations of the definition of the concept of "ontology" are explained and their categorical description is provided; classification of ontology is considered and epistemological aspects of computer modeling are described; modeling schemes within the framework of the semiotic approach are studied.
Опис: Ontologies as knowledge storage systems Construction of ontology signs Approaches to the construction of ontologies Ontology development technology in the Protege editor Construction of Internet resources based on ontologies Standards and languages of ontological engineering The RDF data representation model and its RDF-S properties. SWRL rules writing language Basics of SPARQL SPARQL Grammar Information and search thesauri Modern approaches to the description of relations in the development of ontologies
Assessment methods and criteria: Diagnostics of knowledge is carried out by evaluating the completed laboratory work and examination control (written and oral components) in the form of test questions of three levels of difficulty.
Критерії оцінювання результатів навчання: • Current control (40%): written reports on laboratory work, essay, oral examination; • Final control (60% of exam): in written, verbally.
Порядок та критерії виставляння балів та оцінок: 100–88 points – (“excellent”) is awarded for a high level of knowledge (some inaccuracies are allowed) of the educational material of the component contained in the main and additional recommended literary sources, the ability to analyze the phenomena being studied in their interrelationship and development, clearly, succinctly, logically, consistently answer the questions, the ability to apply theoretical provisions when solving practical problems; 87–71 points – (“good”) is awarded for a generally correct understanding of the educational material of the component, including calculations, reasoned answers to the questions posed, which, however, contain certain (insignificant) shortcomings, for the ability to apply theoretical provisions when solving practical tasks; 70 – 50 points – (“satisfactory”) awarded for weak knowledge of the component’s educational material, inaccurate or poorly reasoned answers, with a violation of the sequence of presentation, for weak application of theoretical provisions when solving practical problems; 49-26 points - ("not certified" with the possibility of retaking the semester control) is awarded for ignorance of a significant part of the educational material of the component, significant errors in answering questions, inability to apply theoretical provisions when solving practical problems; 25-00 points - ("unsatisfactory" with mandatory re-study) is awarded for ignorance of a significant part of the educational material of the component, significant errors in answering questions, inability to navigate when solving practical problems, ignorance of the main fundamental provisions.
Recommended books: 1. Basyuk T.M. Ontological engineering / Taras Mykhailovych Basyuk, Dmytro Hryhorovych Dosyn, Vasyl Volodymyrovych Lytvyn - Lviv: Publishing House of Lviv Polytechnic, 2017. - 224p. 2. Basyuk T.M. Languages of description of ontologies / Taras Mykhailovych Basyuk, Vasyl Volodymyrovych Lytvyn - Lviv: Publishing House of Lviv Polytechnic, 2020. - 276p. 3. Ciorascu C. knOWLer - Ontological Support for Information Retrieval Systems / S.Ciorascu, I.Ciorascu, K. Stoffel //Proceedings of 26th Annual International ACM SIGIR Conference, Workshop on Semantic Web – Canada, Toronto, 2013. – P. 340-357 4. Ding Y. The role of ontologies in eCommerce / Y. Ding, D. Fensel, M. Klein - USA, New York: Steffen Staab, Rudi Studer (ed.), 2004. - 412p. 5. Nirenburg S., Raskin V.. Ontological Semantics // S. Nirenburg, V. Raskin - Cambridge: MA, 2004 - 380p 6. Intellectual systems based on ontologies: a monograph // D. G. Dosyn, V. V. Lytvyn, Yu. V. Nikolskyi, V. V. Pasichnyk - Lviv: "Civilization", 2009. 414 p. 7. V. V. Lytvyn. Methods and means of data and knowledge engineering / V. V. Lytvyn // educational manual with the stamp of MONU. - Lviv: "Magnolia-2006", 2012. - 241 p. 8. Gruber Th. What is an Ontology – [Electronic Resource] – Mode of access: http://www-ksl.stanford.edu/kst/what-is-an-ontology.html 9. Guarino N. Understanding, Building, and Using Ontologies – [Electronic Resource] – Mode of access: http://ksi.cpsc.ucalgary.ca/KAW/KAW96/guarino/guarino.html 10. Kalyanpur A. et al. OWL: Capturing Semantic Information using a Standardized Web Ontology Language– [Electronic Resource] – Mode of access: http://www.mindswap.org/papers/MultiLing.pdf 11. OWL 2 Web Ontology Language New Features and Rationale (Second Edition) - [Electronic Resource] - Mode of access: https://www.w3.org/TR/2012/REC-owl2-new-features-20121211/ - The name of the screen title 12. SPARQL Query Language for RDF- [Electronic Resource] - Mode of access: https://www.w3.org/TR/rdf-sparql-query/ - The name of the screen title 13. Smith K. Michael, Welty Chris, McGuinness L. Deborah. OWL Web Ontology Language. Guide – [Electronic Resource] – Mode of access:http://www.w3.org/TR/owl-guide/ – The name of the screen title 14. Swartz A. The Semantic Web In Breadth – [Electronic Resource] – Mode of access: http://logicerror.com/semanticWeb-long – The name of the screen title
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