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System for Update of Annotations in Corpora
Vrša, Štěpán ; Smrž, Pavel (referee) ; Dytrych, Jaroslav (advisor)
The goal of this thesis is the creation of a system that allows users to display and update the large corpus data annotations in the MG4J format. This thesis analyzes the current corpus data and annotation management solution and briefly describes the non-trivial SEC and MG4J tools used in the solution. The main element of the system is updating annotations in MG4J and subsequently updating the MG4J indexes. The system is capable of performing the above mentioned operations with an acceptable response time. This thesis also deals with updating entities in a knowledge base.
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Searching Semantically Annotated Texts
Grešová, Katarína ; Smrž, Pavel (referee) ; Dytrych, Jaroslav (advisor)
This thesis deals with the issue of semantic searching over indexes of big text data. The aim of this thesis is to design and implement a search engine with web user interface enabling dynamical configuration of access to indexes and editing annotations in the text. The thesis analyzes the current search engine solution and its shortcomings, which results in a specification of requirements for a search engine that is suitable for common use and fulfils the potential of all search engine related tools. The thesis also describes the design, implementation and testing of the resulting system, which also includes an extension in a form of global constraints, which increases the accuracy of the requested search result description.
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Indexing and Searching Semantically Annotated Texts
Panov, Sergey ; Dytrych, Jaroslav (referee) ; Smrž, Pavel (advisor)
This thesis solves the problem of search in the semantically enriched texts. The task of this thesis is to propose and implement a system for searching documents which contain fragments defined by user and enrich entities or non-entities by syntactic and semantic information, which is not mentioned implicitly. The thesis focuses on analysis of existing solution and principles of MG4J engine. The problem was resolved by extending already existing system and implementing a new part, which ensure the data collection. As a result two programs were implemented. One of them ensure the retrieval in document collection stored on a server and is a server-side application. The second one is a client-side application which ensures collection of data from the servers. The implemented programs allow to make advanced queries and get information, which is not explicitly mentioned in text, about entities of the real world.
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Search in Semantically-Enriched Texts
Dostál, Jiří ; Dytrych, Jaroslav (referee) ; Smrž, Pavel (advisor)
This thesis deals with searches within large-scale text data, which are enriched by semantic information, especially the highlighting of named entities. The thesis begins by analysing methods used for the indexing of partly structured text data and the methods used for searching. The main body of the thesis consists of the description and implementation of a query engine, which analyses queries and requirements on range and structure. This query is later converted into an MG4J search engine format and applies restrictions on the results. These results have been tested on time response, as well as on a number of results, which are then compared to older results obtained from English Wikipedia.
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Indexing of Big Text Data and Searching in the Indexed Data
Kozák, David ; Smrž, Pavel (referee) ; Dytrych, Jaroslav (advisor)
Tématem této práce je sémantické vyhledávání ve velkých textových datech. Cílem je navrhnout a implementovat vyhledávač, který se bude efektivně dotazovat nad sémanticky obohacenými dokumenty a prezentovat výsledky uživatelsky přívětivým způsobem. V práci jsou nejdříve analyzovány současné sémantické vyhledávače, spolu s jejich silnými a slabými stránkami. Poté je přednesen návrh nového vyhledávače s vlastním dotazovacím jazykem. Tento systém se skládá z komponent pro indexaci a dotazování se nad dokumenty, management serveru, překladače pro dotazovací jazyk a dvou klientských aplikací, webové a konzolové. Vyhledávač byl úspěšně navržen, implementován i nasazen a je veřejně dostupný na Internetu. Výsledky práce umožňují široké veřejnosti využívat sémantického vyhledávání.
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Indexing of Big Text Data and Searching in the Indexed Data
Kozák, David ; Smrž, Pavel (referee) ; Dytrych, Jaroslav (advisor)
Tématem této práce je sémantické vyhledávání ve velkých textových datech. Cílem je navrhnout a implementovat vyhledávač, který se bude efektivně dotazovat nad sémanticky obohacenými dokumenty a prezentovat výsledky uživatelsky přívětivým způsobem. V práci jsou nejdříve analyzovány současné sémantické vyhledávače, spolu s jejich silnými a slabými stránkami. Poté je přednesen návrh nového vyhledávače s vlastním dotazovacím jazykem. Tento systém se skládá z komponent pro indexaci a dotazování se nad dokumenty, management serveru, překladače pro dotazovací jazyk a dvou klientských aplikací, webové a konzolové. Vyhledávač byl úspěšně navržen, implementován i nasazen a je veřejně dostupný na Internetu. Výsledky práce umožňují široké veřejnosti využívat sémantického vyhledávání.
|
|
|
Searching Semantically Annotated Texts
Grešová, Katarína ; Smrž, Pavel (referee) ; Dytrych, Jaroslav (advisor)
This thesis deals with the issue of semantic searching over indexes of big text data. The aim of this thesis is to design and implement a search engine with web user interface enabling dynamical configuration of access to indexes and editing annotations in the text. The thesis analyzes the current search engine solution and its shortcomings, which results in a specification of requirements for a search engine that is suitable for common use and fulfils the potential of all search engine related tools. The thesis also describes the design, implementation and testing of the resulting system, which also includes an extension in a form of global constraints, which increases the accuracy of the requested search result description.
|
|
|
Indexing and Searching Semantically Annotated Texts
Panov, Sergey ; Dytrych, Jaroslav (referee) ; Smrž, Pavel (advisor)
This thesis solves the problem of search in the semantically enriched texts. The task of this thesis is to propose and implement a system for searching documents which contain fragments defined by user and enrich entities or non-entities by syntactic and semantic information, which is not mentioned implicitly. The thesis focuses on analysis of existing solution and principles of MG4J engine. The problem was resolved by extending already existing system and implementing a new part, which ensure the data collection. As a result two programs were implemented. One of them ensure the retrieval in document collection stored on a server and is a server-side application. The second one is a client-side application which ensures collection of data from the servers. The implemented programs allow to make advanced queries and get information, which is not explicitly mentioned in text, about entities of the real world.
|
|
|
System for Update of Annotations in Corpora
Vrša, Štěpán ; Smrž, Pavel (referee) ; Dytrych, Jaroslav (advisor)
The goal of this thesis is the creation of a system that allows users to display and update the large corpus data annotations in the MG4J format. This thesis analyzes the current corpus data and annotation management solution and briefly describes the non-trivial SEC and MG4J tools used in the solution. The main element of the system is updating annotations in MG4J and subsequently updating the MG4J indexes. The system is capable of performing the above mentioned operations with an acceptable response time. This thesis also deals with updating entities in a knowledge base.
|
|
|
Search in Semantically-Enriched Texts
Dostál, Jiří ; Dytrych, Jaroslav (referee) ; Smrž, Pavel (advisor)
This thesis deals with searches within large-scale text data, which are enriched by semantic information, especially the highlighting of named entities. The thesis begins by analysing methods used for the indexing of partly structured text data and the methods used for searching. The main body of the thesis consists of the description and implementation of a query engine, which analyses queries and requirements on range and structure. This query is later converted into an MG4J search engine format and applies restrictions on the results. These results have been tested on time response, as well as on a number of results, which are then compared to older results obtained from English Wikipedia.
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