Ontological Engineering

Major: Systems and Methods of Decision Making
Code of subject: 7.124.01.E.023
Credits: 5.00
Department: Information Systems and Networks
Lecturer: Ph.D., Associate Professor Basyuk Taras Mykhailovych
Semester: 2 семестр
Mode of study: денна
Learning outcomes: • possession of knowledge and understanding of the scientific principles of creating ontology and knowledge data base of varying complexity; • the ability to generate theoretical and practical solutions on creation and filling of knowledge data base based on OWL; • the ability to use knowledge and skills while describing the relationships and constraints by using descriptive logic; • practical application of knowledge in the creation of interfaces to software based on WSDL; • obtaining skills in construction and modeling ontology in Protege editor.
Required prior and related subjects: • Artificial Intelligence Methods and Systems • System Analysis • Methods and Tools for Data and Knowledge Engineering • Ontology Description Languages
Summary of the subject: Engineering as engineering design. The use of scientific knowledge for designing engineering and technology facilities. Hilbert concept of ideal and real objects. Basic concepts of systems engineering. Construction of web-resources based on ontologies. Options for defining and using ontologies. Standard ontological study of complex systems (IDEF5). Tools Protege ontology design and Ontolingua. Ontological engineering: processes, products and standards. Standards ontology: DC (Dublin Core - Dublin Core), OWL-S (Web Services Ontology Language). The universal standard description of information resources (RDF). SHOE, XOL, OIL languages. DAML Language. Composition DAML + OIL. Language OWL composition as DAML + OIL + XOL + SHOE. Tools for building a hierarchy of OWL objects. Joining the concepts of ontology and ontological analysis procedures and standards for business process modeling. Execution of completed design work. RUP Artifacts .
Assessment methods and criteria: • Current control (40%): written reports on laboratory work, essay, oral examination; • Final control (60% of exam): in written, verbally.
Recommended books: 1. Верников Г. Стандарт онтологического исследования IDEF5 / Г. Верников — М.: Корпоративный менеджмент, 2004. – 124с. 2. Смирнов А.В. Управление онтологиями / А.В. Смирнов, М.П. Пашкин, Н.Г.Шилов Т.В. Левашова – СПб.: Институт информатики и автоматизации РАН, 2013. – 624с. 3. Nirenburg S., Raskin V.. Ontological Semantics // S. Nirenburg, V.Raskin – Cambridge: MA, 2004 – 380p