Semantic Computing
Course code
IFI7166.DT
old course code
IFI7166
Course title in Estonian
Semantilised tarkvaralahendused
Course title in English
Semantic Computing
ECTS credits
4.0
Assessment form
Examination
lecturer of 2023/2024 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
lecturer of 2024/2025 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
The course will provide the students with the chance to study research and developments of semantic software systems.
Brief description of the course
Semantic computing is rapidly evolving interdisciplinary research field, in which computer content is structured and organized in a way to better match the user needs and intentions, thus to create more meaningful user experience. The course will provide some insights for the domain of semantic computing enabling the students to understand the aspects related to research, technologies and application domains of the field. The students will use their experience form other elate fields such as natural language analysis, machine learning, intelligent systems, social computing, multimedia semantics, software engineering, and many others to build new experiences related to the field semantic computing in different disciplines.
The course covers different topics related to semantic computing vased on introduction to the concepts, technology, applications and futuure of semantic computing. Topics to be covered are mainly categorized into: semantic analysis, semantic languages and integration, semantik applications, and semantic programming and interfaces. More specific topics - such as Tagging and Tag analysis, Linked Data, Semantic Repositories and Semantic Information Retrieval, Ontologies and Semantic Web, Semantic Systems Engineering, and Application Domains are covered in this course.
The course covers different topics related to semantic computing vased on introduction to the concepts, technology, applications and futuure of semantic computing. Topics to be covered are mainly categorized into: semantic analysis, semantic languages and integration, semantik applications, and semantic programming and interfaces. More specific topics - such as Tagging and Tag analysis, Linked Data, Semantic Repositories and Semantic Information Retrieval, Ontologies and Semantic Web, Semantic Systems Engineering, and Application Domains are covered in this course.
Learning outcomes in the course
Upon completing the course the student:
Students are expected to gain conceptual knowledge enabling them to build a comprehensive understanding of the limitations, drawbacks, benefits, and challenges of the available technologies and research in the domain of semantic computing.
Students are expected to acquire the required knowledge and skills to design and develop semantic software tools.
Students are expected to gain conceptual knowledge enabling them to build a comprehensive understanding of the limitations, drawbacks, benefits, and challenges of the available technologies and research in the domain of semantic computing.
Students are expected to acquire the required knowledge and skills to design and develop semantic software tools.
Teacher
Mohammad Smadi
Study programmes containing that course