National Repository of Grey Literature 97 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
User interface of system ERIAN based on web technologies
Finger, Artur ; Nečaský, Martin (advisor) ; Kopecký, Michal (referee)
ERIAN is a complex business rule management system developed by com- pany Komix. Part of this system is the Rule Management Interface (RMI) which allows users to create, edit, schedule, test and otherwise manage their business rules. The RMI is implemented as a thick client based on C# and WPF, which has its disadvantages. This thesis provides a prototypical implementation of the RMI as a thin client based on cutting-edge web technologies. This thesis predominantly deals with the choice of the correct technologies for the task, while allowing develop- ment and maintainance of different customized versions of the RMI and making sure the prototype handles working with business rules seamlessly even if they are exceptionally large. The resultant RMI prototype is well testable and adds several new function- ality features, compared to the original. It lays a good foundation for a complete re-implementation of the RMI as a thin client.
Analysis of security relationships in networks of entities
Kuklisová, Anikó ; Nečaský, Martin (advisor) ; Kopecký, Michal (referee)
The goal of this master thesis is to design and implement an analytical application for Security Information Service by providing a software prototype. The solution proposes an enhancement of existing graph that allows security analytics to analyse, edit and visualize objects and relations that are saved into a relational database. In the thesis, we walk through the process of development step by step. First, we investigate the current version software and the requirements of the customer. Afterwards, we design the architecture to be easily extendable with new modules and reliable libraries. In the next step, we implement the application, present our solution to the customer and conduct excessive testing. The final step is evaluating our solution by comparing it to the current software solution in use.
Tool for RDF geodata visualization on a map
Rous, Daniel ; Nečaský, Martin (advisor) ; Škoda, Petr (referee)
The goal of this thesis is to design, implement and test a web application, which will visualize RDF data in a heat map. The heat will be defined by the user's metric data se- lection. The application will simplify user's selection needed for visualization by automatic detection of metric and location data in loaded schema. User will have an opportunity to filter data by some data properties. The application will be tested on two different data sources. One of them will be Central register of grants (IS CEDR III). The other one will be the agenda dataset from Rights and Duties Register (RPP). 1
Searching public transport connections based on transport timetables and individual transport
Matěna, Jakub ; Nečaský, Martin (advisor) ; Kopecký, Michal (referee)
This thesis deals with routing over open data in Prague. Its main purpose is to create server/client based application that makes connection searches combining both public transport and individual car transport. Server provides Protocol buffers \gls{api} that can be used by anyone to create client application for any available platform. Moreover demonstrative client application for Android devices was created as part of this project. All components were tested for usability, functionality and speed. Open data from several sources were used to demonstrate that publishing data can offer new possibilities and that we can achieve complex goals by combining them. It was shown that intermodal planning in Prague is possible and can save time, money and even environment.
Discovering and Creating Relations among CSV Columns Using Linked Data Knowledge Bases
Brodec, Václav ; Nečaský, Martin (advisor) ; Svoboda, Martin (referee)
A large amount of data produced by governmental organizations is accessible in the form of tables encoded as CSV files. Semantic table interpretation (STI) strives to transform them into linked data in order to make them more useful. As significant portion of the tabular data is of statistical nature, and therefore comprises predominantly of numeric values, it is paramount to possess effective means for interpreting relations between the entities and their numeric properties as captured in the tables. As the current general-purpose STI tools infer the annotations of the columns almost exclusively from numeric objects of RDF triples already present in the linked data knowledge bases, they are unable to handle unknown input values. This leaves them with weak evidence for their suggestions. On the other hand, known techniques focusing on the numeric values also have their downsides. Either their background knowledge representation is built in a top-down manner from general knowledge bases, which do not reflect the domain of input and in turn do not contain the values in a recognizable form. Or they do not make use of context provided by the general STI tools. This causes them to mismatch annotations of columns consisting from similar values, but of entirely different meaning. This thesis addresses the...
Conceptual modeling of neurosurgical data.
Bystroň, Jakub ; Říha, Antonín (advisor) ; Nečaský, Martin (referee)
We present a new minimalistic conceptual model for hierarchical data called AC-model. Syntax part of this model is based upon the regular tree grammar theory. AC-model is composed of two parts - Archetype model and Constraint model. A-model is intended to model arbitrary regular tree grammar, C- model adds a first order logic constraints. We also prove that validity problem for ACmodel is NP-hard and conformance problem is undecidable. Along with this thesis C-model based validator of XML documents' semantics is presented. Powered by TCPDF (
Interactive web crawling and data extraction
Fejfar, Petr ; Ježek, Pavel (advisor) ; Nečaský, Martin (referee)
Title: Interactive crawling and data extraction Author: Bc. Petr Fejfar Author's e-mail address: Department: Department of Distributed and Dependable Systems Supervisor: Mgr. Pavel Je ek, Ph.D., Department of Distributed and De- pendable Systems Abstract: The subject of this thesis is Web crawling and data extraction from Rich Internet Applications (RIA). The thesis starts with analysis of modern Web pages along with techniques used for crawling and data extraction. Based on this analysis, we designed a tool which crawls RIAs according to the instructions defined by the user via graphic interface. In contrast with other currently popular tools for RIAs, our solution is targeted at users with no programming experience, including business and analyst users. The designed solution itself is implemented in form of RIA, using the Web- Driver protocol to automate multiple browsers according to user-defined instructions. Our tool allows the user to inspect browser sessions by dis- playing pages that are being crawled simultaneously. This feature enables the user to troubleshoot the crawlers. The outcome of this thesis is a fully design and implemented tool enabling business user to extract data from the RIAs. This opens new opportunities for this type of user to collect data from Web pages for use...
Converting HTML product data to Linked Data
Kadleček, Rastislav ; Nečaský, Martin (advisor) ; Svoboda, Martin (referee)
In order to make a step towards the idea of the Semantic Web it is necessary to research ways how to retrieve semantic information from documents published on the current Web 2.0. As an answer to growing amount of data published in a form of relational tables, the Odalic system, based on the extended TableMiner+ Semantic Table Interpretation algorithm was introduced to provide a convenient way to semantize tabular data using knowledge base disambiguation process. The goal of this thesis is to propose an extended algorithm for the Odalic system, which would allow the system to gather semantic information for tabular data describing products from e-shops, which have very limited presence in the knowl- edge bases. This should be achieved by using a machine learning technique called classification. This thesis consists of several parts - obtaining and preprocessing of the product data from e-shops, evaluation of several classification algorithms in order to select the best-performing one, description of design and implementation of the extended Odalic algorithm, description of its integration into the Odalic system, evaluation of the improved algorithm using the obtained product data and semantization of the product data using the new Odalic algorithm. In the end, the results are concluded and possible...
Web application for concert database management
Scholleová, Klára ; Nečaský, Martin (advisor) ; Kopecký, Michal (referee)
Title: Web application for concert database management Author: Klára Scholleová Department: Department of Software Engineering Supervisor: doc. Mgr. Martin Nečaský, Ph.D., Department of Software Enginee- ring Abstract: The aim of the thesis is to develop a web application for concert da- tabase management to be used in the Czech Chamber Philharmonic Orchestra Pardubice. The application will allow the orchestra workers to add records of concerts played (and their details), displaying the data in the database, showing the records based on filters, and data aggregation in a user friendly interface. Based on the analysis of the client's requirements, a conceptual model of the database was made. The application is implemented in a web development fra- mework Django in conjunction with other technologies (HTML, CSS, JavaScript and Vue.js library) and is prepared for further development in the future. The application was tested from aspects of both user experience and performance. Keywords: web application, concert database, Django, Vue.js 1
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

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