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Ruben Verborgh

Application of Semantic Web Technologies for (Semi-)Automatic Metadata Generation for Multimedia Data

by Ruben Verborgh

This masters thesis discusses the application of Semantic Web technologies to the automatic metadata, generation and annotation process for multimedia data. It describes the architecture of a generic semantic problem solving platform that uses independent algorithms to accomplish subtasks. A holistic vision on the metadata request harnesses more advanced problems, enabling the algorithms to interact with the solution as it is generated.

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Published in 2010.

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Cite this thesis easily using its BibTeX entry:

@mastersthesis{verborgh_mastersthesis_2010,
  author = {Verborgh, Ruben},
  title = {Application of {Semantic Web} Technologies for (Semi-)Automatic Metadata Generation for Multimedia Data},
  school = {Ghent University},
  year = 2010,
  month = jun,
  url = {http://lib.ugent.be/fulltxt/RUG01/001/418/670/RUG01-001418670_2010_0001_AC.pdf},
}

Alternatively, pick a reference of your choice below:

IEEE
R. Verborgh, “Application of Semantic Web Technologies for (Semi-)Automatic Metadata Generation for Multimedia Data,” Master’s thesis, Ghent University, 2010.
ACM
Ruben Verborgh. 2010. Application of Semantic Web Technologies for (Semi-)Automatic Metadata Generation for Multimedia Data. Master’s thesis. Ghent University.
LNCS
Verborgh, R.: Application of Semantic Web Technologies for (Semi-)Automatic Metadata Generation for Multimedia Data, (2010).
APA
Verborgh, R. (2010, June). Application of Semantic Web Technologies for (Semi-)Automatic Metadata Generation for Multimedia Data (Master’s thesis). Ghent University.
MLA
Verborgh, Ruben. “Application of Semantic Web Technologies for (Semi-)Automatic Metadata Generation for Multimedia Data.” Master’s thesis. Ghent University, 2010. Print.

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