Subject description - A0M33OSW

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A0M33OSW Ontologies and Semantic Web Extent of teaching:2P+2C
Guarantors:  Roles:V Language of
teaching:
CS
Teachers:  Completion:KZ
Responsible Department:13133 Credits:4 Semester:Z

Anotation:

The course "Ontologies and Semantic Web" will guide students through current trends and technologies in the semantic web field. Students will learn designing complex ontologies, thesauri, formalizing them in a suitable formal language, querying them and creating semantic web applications on their top. The second part of the course will be devoted to the efficient management of ontological data and other selected topics.

Study targets:

To learn students techniques for creating ontologies and publishing semantically-enabled data on the web.

Course outlines:

1. Evolution of the semantic web, semantic web stack
2. Semantic web languages - syntax and semantics of RDF, RDFS
3. Semantic web languages - syntax and semantics of OWL (2), SWRL
4. Semantic web languages - syntax and semantics of SPARQL
5. Ontological engineering, design and modeling of ontologies
6. Ontology design patterns
7. Ontology alignment and ontology matching
8. Thesauri, vocabularies, SKOS
9. Linked Data
10. Persistence of ontologies, triple stores, accessing ontologies
programatically
11. Semantic annotation of web content - microformats, RDF-A 12. Data integration on the semantic web, rule-based systems, selected applications
13. Semantic GIS, GeoSPARQL
14. Selected Topics

Exercises outline:

1. Introduction, organization, project assignment, Protege 3.4
2. Examples on RDF, RDFS, inferencing
3. Examples on OWL, SWRL, inferencing
4. Analysis and design of SPARQL queries
5. Ontology design - example in known domain and comparison to relational databases
6. Ontology design - application of design patterns
7. Examples on ontology matching, consultation on semestral project
8. Design of SKOS thesaurus
9. Linked Data tools
10. Sesame/Virtuoso
11. Design of semantically annotated web page, consultation on semestral project
12. Data integration on the semantic web, consultation on semestral project,
13. GeoSPARQL, consultation on semestral project
14. Submission of the assignment

Literature:

[1] Staab, S., Studer, R.: Handbook on ontologies. Springer, 2004
[2] Tom Heath and Christian Bizer (2011) Linked Data:Evolving the Web into a Global Data Space. Synthesis Lectures on the Semantic Web: Theory and Technology,1-136. Morgan & Claypool.
[3] Gómez-Pérez, A. Fernández-López, M. Corcho, O. Ontological Engineering. Springer Verlag 2003.
[4] Hitzler, P. Krötzsch, M. Rudolph S. Foundations of Semantic Web Technologies. Chapman & Hall/CRC, 2009, 455 pages, hardcover, ISBN: 9781420090505.

Requirements:

The course is recommended for the third term of the master studies. The course has no specific prerequisities. There are no formal requirements for enrollment. However, during lectures and seminars the knowledge of the following topics is anticipated - basics of relational databases (lectures 2,3,4,5 of the course A4B33DS available online at http://cw.felk.cvut.cz/doku.php/courses/a4b33ds), description logic calculus (e.g. the course AE4M33RZN, or the chapter 2 of the Description Logics Handbook, 2003, available online at http://www.inf.unibz.it/~franconi/dl/course/dlhb/dlhb-02.pdf) and web technologies (e.g. the course A7B39WA1, or basic knowledge of HTTP and HTML covered by http://refcardz.dzone.com/refcardz/http-hypertext-transfer-0 and http://refcardz.dzone.com/refcardz/core-html). The course language is english.

Webpage:

https://kbss.felk.cvut.cz/web/portal/osw

Keywords:

ontologies, semantic web

Subject is included into these academic programs:

Program Branch Role Recommended semester
MPBIO1 Biomedical Informatics V
MPBIO2 Biomedical Engineering V
MPIB Common courses V
MPKME1 Wireless Communication V
MPKME5 Systems of Communication V
MPKME4 Networks of Electronic Communication V
MPKME3 Electronics V
MPKME2 Multimedia Technology V
MPEEM1 Technological Systems V
MPEEM5 Economy and Management of Electrical Engineering V
MPEEM4 Economy and Management of Power Engineering V
MPEEM3 Electrical Power Engineering V
MPEEM2 Electrical Machines, Apparatus and Drives V
MPKYR4 Aerospace Systems V
MPKYR1 Robotics V
MPKYR3 Systems and Control V
MPKYR2 Sensors and Instrumentation V
MPOI1 Artificial Intelligence V
MPOI5NEW Software Engineering V
MPOI4NEW Computer Graphics and Interaction V
MPOI5 Software Engineering V
MPOI4 Computer Graphics and Interaction V
MPOI3 Computer Vision and Image Processing V
MPOI2 Computer Engineering V


Page updated 9.12.2019 17:52:19, semester: Z,L/2020-1, L/2018-9, Z,L/2019-20, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)