National Repository of Grey Literature 12 records found  1 - 10next  jump to record: Search took 0.00 seconds. 
Doporučování zboží ve webových obchodech
Helmich, Jiří ; Sýkora, Ondřej (advisor) ; Kukačka, Marek (referee)
Electronic shopping recommendation systems are an integral part of most on-line stores. Nowadays, these systems are usually driven by Market Basket Analysis algorithms and by finding relations within the range of goods offered by the shop. However, for a recommendation system an action-based approach might be a viable alternative. The student will review existing approaches to recommendation based on reinforcement learning algorithms, and implement a prototype of a recommender system for a web store based on the results of the research.
Analysing and Visualizing Statistical Linked Data
Helmich, Jiří ; Nečaský, Martin (advisor) ; Klímek, Jakub (referee)
The thesis describes several means of processing statistical data in the ambience of Linked Data and is in particular focused on the utilization of Data Cube Vocabulary metaformat. Its content offers a description of tools related to analysis and visualization of RDF data not only from the statistical view. An indivisible part of this work is the depiction of the Payola tool on whose development is the author still working on. The outcome of this thesis is mainly proposal and consequential implementation of the system that enables a conversion of RDF data in compliance with the DCV vocabularies. The designed system was implemented and integrated to the Payola application. Several other extensions of the system were also implemented by the author. Within the scope of the implementation process there are mentioned also limitations arising from the integration with Payola. In the conclusion the writer describes a few experiments where some of the chosen datasets were applied to the implemented system. Powered by TCPDF (www.tcpdf.org)
Analysing and Visualizing Statistical Linked Data
Helmich, Jiří
The thesis describes several means of processing statistical data in the ambience of Linked Data and is in particular focused on the utilization of Data Cube Vocabulary metaformat. Its content offers a description of tools related to analysis and visualization of RDF data not only from the statistical view. An indivisible part of this work is the depiction of the Payola tool on whose development is the author still working on. The outcome of this thesis is mainly proposal and consequential implementation of the system that enables a conversion of RDF data in compliance with the DCV vocabularies. The designed system was implemented and integrated to the Payola application. Several other extensions of the system were also implemented by the author. Within the scope of the implementation process there are mentioned also limitations arising from the integration with Payola. In the conclusion the writer describes a few experiments where some of the chosen datasets were applied to the implemented system. Powered by TCPDF (www.tcpdf.org)
Framework for geolocation-based Android applications using Linked Data
Snoha, Matej ; Klímek, Jakub (advisor) ; Helmich, Jiří (referee)
Title: Framework for geolocation-based Android applications using Linked Data Author: Bc. Matej Snoha The aim of this thesis is to design and implement a framework for geolo- cation based mobile applications using Linked Data. Introduced are Linked Data technologies in the context of mobile application develop- ment, data modeling, and geographical queries. This work follows the software development lifecycle from requirement gathering, software analysis, design of the application framework and its individual compo- nents, up to the implementation of required functionality and subsequent deployment and evaluation of the functional application framework. The resulting implementation of the framework consists of a mobile applica- tion that displays nearby places from Linked Data datasets on a map and a cloud service with a repository of required definitions. It serves to demonstrate functionality of the theoretical part of the work in real-life scenarios.
Graph data visualizations with D3.js libraries
Vancák, Vladislav ; Nečaský, Martin (advisor) ; Helmich, Jiří (referee)
Data visualisations help us process large volumes of complex data faster. The goal of this thesis is to implement visualizer plugins into the Linked Pipes Visualization Assistant - a platform for visualising graph data pub- lished in the RDF format. The Assistant automatically analyses data sources and matches them against available visualizers to create interactive views. All visualizers allow configuring the visualisation, saving the configuration and publishing created views. The first group of visualizers works with time- oriented data, viewing instants and intervals on a timeline chart. The second group of visualizers views map-oriented data on the Google Maps. Resources with coordinates are visualised using markers, while resources with coordi- nates and quantifiers are shown as circles (the circle radius corresponds to the quantifier). 1
Data-driven Web Application Generator
Potoček, Tobiáš ; Helmich, Jiří (advisor) ; Škoda, Petr (referee)
This thesis is addressing the issue that we are not able to fully utilize the potential of all the data that the contemporary world around us is constantly producing. The goal of this thesis is to implement a Linked Data driven web application generator that allows lay users to generate web applications from multiple RDF data sources. The application generator automatically analyzes the data sources to help the user with the generation process. Each generated application can be configured and published. The generator contains a list of different types of applications that can be generated depending on the type of input data. This list can be extended and the generator works as a framework which simplifies the process of adding support for new types of applications and new types of data. The generator is also a platform. It allows users to create accounts to manage their published applications and it also features a catalog of published applications and a repository of publicly available data sources that any user can use to generate a new application. The generator is integrated into LinkedPipes Visualization tool. Powered by TCPDF (www.tcpdf.org)
Integration of legacy databases to current information systems
Navrátil, Jan ; Kopecký, Michal (advisor) ; Helmich, Jiří (referee)
The goal of this thesis is to design and implement a framework to support Legacy system access. Legacy systems are databases that use incompatible and obsolete technologies and can not be easily abandoned. The framework allows the abstraction of application logic from database platform and will enable full or incremental migration to a new, modern platform in the future. The framework also considers the option of encapsulation of an existing legacy application into the new system as a black box. The framework is well configurable and extendable and is independent on database platform or data context. A system based on proposed framework has been succesfully deployed in a company. The system facilitated the migration of the company to a new information system with an entirely different database platform. The practice shows the viability of the framework design. Powered by TCPDF (www.tcpdf.org)
Visual knowledge graph management tool
Woska, Aleš ; Nečaský, Martin (advisor) ; Helmich, Jiří (referee)
Linked data are usually visualized as graph structures which are useful for browsing resources but less useful for viewing structured data. This thesis proposes a solution how to visualize linked data in a tabular structure. The goal of the visualization is to make an orientation in data easier for a user. A tabular structure for specific data can be designed and managed in a graphic editor. Visualized data can be checked for errors and can be edited to obtain a script which fixes them. Powered by TCPDF (www.tcpdf.org)
Integration of legacy databases to current information systems
Navrátil, Jan ; Kopecký, Michal (advisor) ; Helmich, Jiří (referee)
The goal of this thesis is to design and implement a framework to support Legacy system access. Legacy systems are databases that use incompatible and obsolete technologies and can not be easily abandoned. The framework allows the abstraction of application logic from database platform and will enable full or incremental migration to a new, modern platform in the future. The framework also considers the option of encapsulation of an existing legacy application to be included in the new system as a black box. A system based on proposed framework has been succesfully deployed in a company. The system facilitated the migration of the company to a new information system with an entirely different database platform. The practice shows the viability of the framework design. 1
Analysing and Visualizing Statistical Linked Data
Helmich, Jiří
The thesis describes several means of processing statistical data in the ambience of Linked Data and is in particular focused on the utilization of Data Cube Vocabulary metaformat. Its content offers a description of tools related to analysis and visualization of RDF data not only from the statistical view. An indivisible part of this work is the depiction of the Payola tool on whose development is the author still working on. The outcome of this thesis is mainly proposal and consequential implementation of the system that enables a conversion of RDF data in compliance with the DCV vocabularies. The designed system was implemented and integrated to the Payola application. Several other extensions of the system were also implemented by the author. Within the scope of the implementation process there are mentioned also limitations arising from the integration with Payola. In the conclusion the writer describes a few experiments where some of the chosen datasets were applied to the implemented system. Powered by TCPDF (www.tcpdf.org)

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