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Web application for searching and editing basketball players in Wikidata
Fedák, Richard ; Nečaský, Martin (advisor) ; Svoboda, Martin (referee)
There are many ways to publish data in a machine-readable form on the Internet. One way is through entities and their interconnection, where two entities are interconnected if they have a relationship with each other. Such a data structure is referred to as a knowledge graph, which is used in the world of open data. The aim of this work is to create a web application that queries two such graphs, namely the knowledge graph Wikidata and DBpedia. The application is able to search for a basketball player and obtain data about him from the given knowledge graphs. It allows the user to discover various connections between the searched player and others using shared categories and simply add basic missing information using the application to the Wikidata knowledge graph.
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Transformation of SPARQL queries into Cypher queries in Neo4j
Storzerová, Tereza ; Svoboda, Martin (advisor) ; Klímek, Jakub (referee)
RDF stores are still popular on the Web, although the existing RDF database management systems are not well prepared for the current data processing requirements. Usually, it is better to use one of the NoSQL systems for processing large and unstructured data instead. For many database types, the graph representation appears to be the most suitable way, with one of the popular representatives being the Neo4j system. In this thesis, we present an approach to the RDF data transformation into a graph format used by Neo4j, together with the translation of the query expressions in SPARQL to query expressions in Cypher, being the query languages used over RDF and in Neo4j, respectively. The translation of data and queries is shown on a prototype implementation and experimentally verified. 1
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Specific needs of clients in in the execution of a custodial sentence - case studies
Mádlová, Adéla ; Gabrhelíková, Pavlína (advisor) ; Svoboda, Martin (referee)
Background: Penitentiary care for clients with addictology issues is still an insufficiently discussed topic. Especially if we emphasize that a significant number of clients, ie users of addictive substances (especially illegal ones) have experience in serving a custodial sentence. The fact that more attention needs to be paid to the care of users of illegal addictive substances in prisons was confirmed by the Prison Service of the Czech Republic by creating a position for addictologists in prisons in 2018, following a successful pilot project. Targets: The core of the final work are case studies with the aim of examining the issue of matching needs in individual addictology services offered by Bělušice Prison. Given the prison's limited capacity to provide addictology services, also answer the question of whether the programs and interventions provided are sufficient or whether the possibility of setting up or amending one of the intervention programs could not be considered in the future. Research group: The research method of the case study was used for the clinical part of the final diploma thesis. The method of long-term observation and the study of available documentation were used to obtain information. Reduction and organization of information was used for data analysis, ie content analyzes...
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Data Preprocessing Strategies in Imbalanced Data Classification
Haluška, Radovan ; Skopal, Tomáš (advisor) ; Svoboda, Martin (referee)
Learning from imbalanced data has been a research topic studied for many years. There are two main approaches used today - data-level and algorithm- level methods. We set out to study resampling methods which belong to the category of data-level methods. These methods modify the training part of a dataset as opposed to algorithm-level methods, which modify a classifier itself. Resampling methods are further divided into oversampling and un- dersampling methods. It is challenging to know which group of methods performs better and which algorithms stand out the most. We conducted an experiment of unseen scale. We systematically and robustly compared sixteen preprocessing methods over eighteen imbalanced datasets and sum- marised the results in this thesis. The results show that oversampling meth- ods outperformed most undersampling methods in both performance and preprocessing time. 1
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Research on the textured journal bearings for engines in automotive
Svoboda, Martin ; Hartl, Martin (referee) ; Omasta, Milan (advisor)
The aim of this thesis is to describe the effect of surface textures of radial journal bearings with polymer coating on friction and damage development using experimental tests. Wear and friction tests of real bearings with different texture geometries and surface materials were performed. It was found that the wear deterioration of the textured aluminum sliding bearing surface and neutral or positive effects on the wear of the textured bearing with polymer coating. The reason for the improvement is the good resistance to high pressures of the polymer coating and the preservation of the texture dimensions throughout the bearing run. The friction test showed an improvement in the frictional properties of the textured surfaces when the amount of lubricant in contact was insufficient. At the same time, a positive effect on tribological properties was demonstrated by reducing the lateral lubricant discharge.
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Schematron Schema Inference
Kozák, Michal ; Holubová, Irena (advisor) ; Svoboda, Martin (referee)
XML is a popular language for data exchange. However, many XML documents do not have their schema or their schema is outdated. This thesis continues on the field of automatic schema inferring for set of XML documents and focuses on Schematron schema inferring. Schematron is a language that validates XML documents with rules, it does not compare the document against a grammar like DTD, and XML Schema does. Because the field of Schematron schema generation is not so much explored, this thesis analyzes basic problems, suggests several approaches and describes their advantages and disadvantages.
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Informational system for cooperation of small groups
Svoboda, Martin ; Bílý, Tomáš (advisor) ; Pergel, Martin (referee)
The main aim of this work is to implement concrete informational system for cooperation and information interchange within small working groups of users and to analyze all aspects which have exposed to be important during the development of this informational system. That means not only to design the structure of relatively complex program, but also to design main concepts of its behaviour and other features, which significantly affect functionality, which is then provided by the system to its users. For example it comprises the draft of user registration model, membership of those users in groups, multilevel hierarchy of user powers or managing user sessions. All those important models are discussed in this work and there are also analyzed their advantages and potential difficulties. The second part of this work contains the description of implementation of all interesting or important parts of the system. It means for example the mechanisms of database queries execution, generating universal paged listings, editing processes and inputs from users, working desktop layout or other functionality provided by the kernel, as well as the description of system sections such as Actions planning, Discussions, Inquiries etc.
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Generator of Testing XML Data
Michalko, Jakub ; Holubová, Irena (advisor) ; Svoboda, Martin (referee)
The aim of the thesis is to implement a tool which generates testing XML data according to user defined attributes. The user can use this data for testing applications which work with XML data. The application provides the user with GUI for editing attributes of generated documents whose size can be greater than main storage. Main attributes of generated documents are number of generated documents, fanout, frequency of element/text, generating mixed content, etc. Application can also generate a DTD or XSD document for all generated documents, execute the tested application over generated documents or send generated data to service of tested application.
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Inference of an XML Schema with the Knowledge of XML Operations
Mikula, Mário ; Holubová, Irena (advisor) ; Svoboda, Martin (referee)
Recently, plenty of methods dealing with automatic inference of XML schema have been developed, however, most of them utilize XML documents as their only input. In this thesis we focus on extending inference by incorporating XML operations, in particular XQuery queries. We discuss how can XQuery queries help in improving the inference process and we propose an algorithm based on chosen improvements, extending an existing method of a key discovery, that can be integrated to methods inferring so-called initial grammar. By implementing it, we created the first solution of XML schema inference using XML documents along with XML operations.
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Processing of Incorrect XML Data
Svoboda, Martin ; Holubová, Irena (advisor) ; Nečaský, Martin (referee)
XML documents and related technologies represent widely accepted standard for managing and exchanging semi-structured data. However, surprisingly high number of XML documents is affected by well-formedness errors, structural invalidity or data inconsistencies. The aim of this thesis is the analysis of existing approaches resulting to the proposal of a new correction framework. The introduced model involves repairs of elements and attributes with respect to single type tree grammars. Via the inspection of the state space of an automaton recognising regular expressions, we are always able to find all minimal repairs. These repairs are compactly represented by recursively nested multigraphs, which can be translated to particular sequences of edit operations altering data trees. We have proposed four particular algorithms and provided the prototype implementation supplemented with experimental results. The most efficient algorithm heuristically follows only perspective repair directions and avoids repeated computations using the caching mechanism.
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