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National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
PHP framework for working with relational databases with logical tree structure
 Ejem, Richard ; Forst, Libor (advisor) ; Nečaský, Martin (referee)
In this thesis we have developed a framework which allows programmers to effectively create web database applications with PHP. The key advantage of this framework is that it can create web user interface from data model with almost no need of writing additional code. We have not found such complex solution in other existing frameworks. They usually deal only with a part of this problem (robust model layer or web interface) or do not implicitly link these layers. This framework uses some time-proven practices and design paterns used in existing frameworks. In addition, it provides some new tools and techniques making web application development easier. Main advantages are generated web user interface and object model to easily create and edit SQL queries by machine. Main concept of this framework is convention over configuration, which means that programmer using this framework does not have to write detailed code descri- bing standard application behaviour. Loading the framework is almost sufficient to create working web database application. Programmer then only customizes the parts of application which need other than default behaviour. 1
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Relation extraction in police records
 Ejem, Richard ; Žabokrtský, Zdeněk (advisor) ; Mareček, David (referee)
This work describes a problem of relation extraction between named entities on the sentence level, assuming that the named entities are already tagged in the text, on the domain of police reports written by the Anti-drug Department of the Police of the Czech Republic. We have used various methods of machine learning in combination with tree kernel functions and methods based on sentence syntax rules. None of the used methods had satisfying results on the data provided by the Police of the Czech Republic. Following analysis showed that tagging of the relations in the data was missing many relations, which were obvious to a human reader. That was found to be the reason why the supervised machine learning was not successful. Later in this work we present several rules for recognizing relations which we have identified manually. Findings in this work may be helpful for future research of processing these police reports.
Detailed record
PHP framework for working with relational databases with logical tree structure
 Ejem, Richard ; Forst, Libor (advisor) ; Nečaský, Martin (referee)
In this thesis we have developed a framework which allows programmers to effectively create web database applications with PHP. The key advantage of this framework is that it can create web user interface from data model with almost no need of writing additional code. We have not found such complex solution in other existing frameworks. They usually deal only with a part of this problem (robust model layer or web interface) or do not implicitly link these layers. This framework uses some time-proven practices and design paterns used in existing frameworks. In addition, it provides some new tools and techniques making web application development easier. Main advantages are generated web user interface and object model to easily create and edit SQL queries by machine. Main concept of this framework is convention over configuration, which means that programmer using this framework does not have to write detailed code descri- bing standard application behaviour. Loading the framework is almost sufficient to create working web database application. Programmer then only customizes the parts of application which need other than default behaviour. 1
Detailed record

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