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Indexing of Big Text Data and Searching in the Indexed Data
 Kozák, David ; Smrž, Pavel (oponent) ; Dytrych, Jaroslav (vedoucí práce)
The topic of this thesis is semantic searching over big textual data. The goal is to design and implement a search engine that queries the semantically enhanced documents efficiently and has a user friendly interface for working with the results. Firstly, state of the art solutions along with their strengths and shortcomings are analyzed. Then a design for new search engine is presented along with a specialized query language. The system consists of components for indexing and searching the documents, management server, compiler for the query language and two clients, web based and command line. The engine has been successfully designed, developed and deployed and is available via the Internet. As a result of that, the possibility of using of the semantic searching is available to a wide audience.
Úplný záznam
Indexing of Big Text Data and Searching in the Indexed Data
 Kozák, David ; Smrž, Pavel (oponent) ; Dytrych, Jaroslav (vedoucí práce)
The topic of this thesis is semantic searching over big textual data. The goal is to design and implement a search engine that queries the semantically enhanced documents efficiently and has a user friendly interface for working with the results. Firstly, state of the art solutions along with their strengths and shortcomings are analyzed. Then a design for new search engine is presented along with a specialized query language. The system consists of components for indexing and searching the documents, management server, compiler for the query language and two clients, web based and command line. The engine has been successfully designed, developed and deployed and is available via the Internet. As a result of that, the possibility of using of the semantic searching is available to a wide audience.
Úplný záznam

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