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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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Bacteria Classification into Taxonomic Categories Based on Properties of 16s rRNA
Grešová, Katarína ; Hon, Jiří (referee) ; Smatana, Stanislav (advisor)
The main goal of this thesis was to design and implement a tool that would be able to classify the sequences of the 16S rRNA gene into taxonomic categories using the properties of the 16S rRNA gene. The created tool analyzes all input sequences simultaneously, which differs from common classification approaches, which classify input sequences individually. This tool relies on the fact that bacteria contain several copies of the 16S rRNA gene, which may differ in sequence. The main contribution of this work is design, implementation and evaluation of the capabilities of this tool. Experiments have shown that the proposed tool is able to identify the corresponding bacteria for smaller datasets and determine the correct ratios of their abundances. However, with larger datasets, the state space becomes very large and fragmented, which requires further improvements in order for it to search the state space in an efficient way.
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Bacteria Classification into Taxonomic Categories Based on Properties of 16s rRNA
Grešová, Katarína ; Hon, Jiří (referee) ; Smatana, Stanislav (advisor)
The main goal of this thesis was to design and implement a tool that would be able to classify the sequences of the 16S rRNA gene into taxonomic categories using the properties of the 16S rRNA gene. The created tool analyzes all input sequences simultaneously, which differs from common classification approaches, which classify input sequences individually. This tool relies on the fact that bacteria contain several copies of the 16S rRNA gene, which may differ in sequence. The main contribution of this work is design, implementation and evaluation of the capabilities of this tool. Experiments have shown that the proposed tool is able to identify the corresponding bacteria for smaller datasets and determine the correct ratios of their abundances. However, with larger datasets, the state space becomes very large and fragmented, which requires further improvements in order for it to search the state space in an efficient way.
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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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