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Query Language for Biological Databases
Bahurek, Tomáš ; Vogel, Ivan (referee) ; Martínek, Tomáš (advisor)
With rising amount of biological data, biological databases are becoming more important each day. Knowledge discovery (identification of connections that were unknown at the time of data entry) is an essential aspect of these databases. To gain knowledge from these databases one has to construct complicated SQL queries, which requires advanced knowledge of SQL language and used database schema. Biologists usually don't have this knowledge, which creates need for tool, that would offer more intuitive interface for querying biological databases. This work proposes ChQL, an intuitive query language for biological database Chado. ChQL allows biologists to assemble query using terms they are familiar without knowledge of SQL language or Chado database schema. This work implements application for querying Chado database using ChQL. Web interface guides user through process of assembling sentence in ChQL. Application translates this sentence to SQL query, sends it to Chado database and displays returned data in table. Results are evaluated by testing queries on real data.
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Query Language for Biological Databases
Bahurek, Tomáš ; Vogel, Ivan (referee) ; Martínek, Tomáš (advisor)
With rising amount of biological data, biological databases are becoming more important each day. Knowledge discovery (identification of connections that were unknown at the time of data entry) is an essential aspect of these databases. To gain knowledge from these databases one has to construct complicated SQL queries, which requires advanced knowledge of SQL language and used database schema. Biologists usually don't have this knowledge, which creates need for tool, that would offer more intuitive interface for querying biological databases. This work proposes ChQL, an intuitive query language for biological database Chado. ChQL allows biologists to assemble query using terms they are familiar without knowledge of SQL language or Chado database schema. This work implements application for querying Chado database using ChQL. Web interface guides user through process of assembling sentence in ChQL. Application translates this sentence to SQL query, sends it to Chado database and displays returned data in table. Results are evaluated by testing queries on real data.
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Web graphic knowledge base editor for expert system NEST
Kozák, Martin ; Zamazal, Ondřej (advisor) ; Berka, Petr (referee)
Main goal of this thesis is development of knowledge base editor designed to work online. Such editor would provide its user with all tools that are necessary to create and modify knowledge base in a graphic and user-friendly working environment. This editor is developed for system NEST (New Expert SysTem), which is an expert system developed on University of Economics, Prague. Created editor is named WEBZ it is created as a web application. WEBZ is written in Java and build on Vaadin framework. Vaaadin is a framework created to develop web application while supporting a creation of graphic user interface. The thesis first chapter is a theoretical introduction into expert systems with a brief description of NEST. The description of NEST continues in second chapter, which is focused on a knowledge base of this expert system. In the following chapter, Vaadin framework is briefly described. The thesis continues with the comparison between WEBZ and its predecessors. Last two chapters are dedicated to description of WEBZ both from the perspective of user and from the perspective of developer.
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