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Ontological Engineering
Major: System Analysis
Code of Subject: 7.124.04.E.49
Credits: 5
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.
• 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
• 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 and GOST documents.
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
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
Assessment methods and criteria:
• Current control (40%): written reports on laboratory work, essay, oral examination;
• Final control (60% of exam): in written, verbally.
• Final control (60% of exam): in written, verbally.
Ontological Engineering (курсова робота)
Major: System Analysis
Code of Subject: 7.124.04.E.50
Credits: 2
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.
• 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
• 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 and GOST documents.
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
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
Assessment methods and criteria:
• Current control (40%): written reports on laboratory work, essay, oral examination;
• Final control (60% of exam): in written, verbally.
• Final control (60% of exam): in written, verbally.