Jan 22, 2020   11:57 a.m. Zora
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Ing. Karol Rástočný, PhD.
Identification number: 36279
University e-mail: karol.rastocny [at] stuba.sk
 
Odborný asistent CSc.,PhD. - Institute of Informatics, Information Systems and Software Engineering (FIIT)

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Publications     Supervised theses     Conferences     

Basic information

Basic information about a final thesis

Type of thesis: Dissertation thesis
Thesis title:Metadata Management for Large Information Spaces
Written by (author): Ing. Karol Rástočný, PhD.
Department: Institute of Informatics, Information Systems and Software Engineering (FIIT)
Thesis supervisor: prof. Ing. Mária Bieliková, PhD.
Opponent 1:doc. Ing. Jaroslav Porubän, PhD.
Opponent 2:doc. Ing. Karel Richta, Ph.D.
Final thesis progress:Final thesis was successfully defended.


Additional information

Additional information about the final thesis follows. Click on the language link to display the information in the desired language.

Language of final thesis:English

Slovak        English

Title of the thesis:Metadata Management for Large Information Spaces
Summary:Semantics over large information spaces is crucial for information systems, e.g. for effective information exploration. But current coverage of information spaces by semantics is insufficient, so information systems create various metadata for simplification of intelligent data processing. Crucial problem of metadata lies in dynamicity of information spaces. The content is continually modified, what can lead to an invalidation of metadata. In this work we propose novel metadata representation via information tags that describe properties of resources and users' activity provided with resources without any modification of described resources. This feature of information tags allows to perform independent and effective management and maintenance of metadata rep-resented in the form of information tags. We propose information tags model based on standardized the Open Annotation Model and repository with sufficient performance for information tags management. To manage and maintain information tags, we propose robust location descriptor and its interpreting algorithm with respect to special requirements and features of source code, and we proposed the method of information tags maintenance which queries linked stream data of events and executes maintaining actions.
Key words:information tags, descriptive metadata, metadata management

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