Faculty of Technical Sciences

Subject: Semantic Web (17.E2513)

Native organizations units: Sub-department for Applied Computer Science and Informatics
General information:
 
Category Theoretical-methodological
Scientific or art field Applied Computer Science and Informatics
Interdisciplinary No
ECTS 6
Educational goal:

Students gain knowledge of the concepts, techniques and selected examples of semantic web applications.

Educational outcome:

The acquired knowledge enable the implementation of software systems which support intelligent selection, approach and processing of information on the Web.

Course content:

Introduction: Structure syntax and semantics. Need for semantics on the Web. Meta-programming, meta-data, XML, XSLT, RDF. Semantics, Semantics and knowledge, Ontologies, Logics, Deduction, Domain modelling, Context, Distributed knowledge. Classification. Knowledge based protocols. Technologies. Ontology tools, Ontology software (API). OWL. SPARQL. Methodologies. Methodologies for ontology engineering. Methodologies for introducing knowledge management systems. Methodologies of developing semantic systems. Semantic systems. Semantic Web services. Semantic Web Portals. Semantic Wiki. Semantic Multi-Agent Systems. Semantic Web Browsers. Applications: bioinformatics, document management systems, information search, etc.

Teaching methods:

Teaching methods include: lectures, computer practice classes, homework assignments and consultations. During the lectures the content of the course is presented using the necessary didactic tools while student active participation is encouraged. The practical aspect of the course is covered at computer practice classes through assignments which students do independently or with the help of teaching assistants as well as through homework assignments (obligatory or optional). A student is expected to demonstrate the ability of independent task solving or understanding of the solution. The evaluation is in the form of oral conversation with the teaching assistant. The course lecturer and assistant have consultations with the students. During the consultations the students are given additional explanations of the material covered at the lecture and practice classes, and in case the consultations relating to independent work on laboratory or homework tasks, the suggestions are given on how to improve the solutions the students are obliged to provide.

Literature:
Authors Title Year Publisher Language
Munn, K., Smith, B. Applied Ontology: An Introduction 2008 Ontos, Franfurkt English
G. Antoniou, F. Van Harmelen A Semantic Web Primer (Cooperative Information Systems S.) 2004 The MIT Press ISBN: 0262012103 English
Auer, S., Bryl, V., Tramp, S. Linked Open Data - Creating Knowledge Out of Interlinked Data: Results of the LOD2 Project 2014 Springer English
Shelley Powers Practical RDF 2003 OReilly English
Wohlgenannt, G. Learning Ontology Relations by Combining Corpus-Based Techniques and Reasoning on Data from Semantic Web Sources 2018 Peter Lang International Academic Publishing Group English
Hancock, J. Biological Ontologies and Semantic Biology 2014 Frontiers Media SA English
John Davies Towards the Semantic Web: Ontology-driven Knowledge Management 2002 John Wiley and Sons Ltd, ISBN: 0470848677 English
Watson, M. Practical Semantic Web and Linked Data Applications 2011 Selfpublished English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Project Yes Yes 50.00
Computer exercise attendance Yes Yes 5.00
Complex exercises Yes Yes 10.00
Theoretical part of the exam No Yes 30.00
Lecture attendance Yes Yes 5.00
Lecturers:
API Image

vanr. prof. Segedinac Milan

Associate Professor

Computational classes

Asistent Dorić Luka

Assistant - Master

Computational classes
API Image

vanr. prof. Segedinac Milan

Associate Professor

Lectures

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

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(+381) 21 6350 413

Fax : (+381) 21 458 133
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© 2024. Faculty of Technical Sciences.