At present companies are facing to a problem of treating huge amount of company`s content. There is needed to provide correct metadata to the documents to enable its qualified classifying during a whole life cycle of the document. The target of this diploma thesis puts emphasis on a proposal of the classifying methodology of the customer`s documents, while intercepting a proposal of the process of classifying, testing and support or even enhancement. Topic of this thesis is unique while it is based on the combination of the IT and librarian`s technologies. Methodology also consists a proposal of a subject retrieval language and a proposal of IT services, which are going to ensure the quality of the provided classification. The thesis is devided into two parts. The theoretical one explains the basic terms, theory of classifying and standards, legislature, which all together have the important influence on the field. The practical part includes itself the methodology.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:359204 |
| Date | January 2017 |
| Creators | Kučerová Zrálíková, Václava |
| Contributors | Střížová, Vlasta, Braun, Vojtěch |
| Publisher | Vysoká škola ekonomická v Praze |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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