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Modelování událostí na sémantickém webu
Hanzal, Tomáš ; Svátek, Vojtěch (advisor) ; Vacura, Miroslav (referee)
There are many ontologies and datasets on the semantic web that mention events. Events are important in our perception of the world and in our descriptions of it, therefore also on the semantic web. There is however not one best way to model them. This is connected to the fact that even the question what events are can be approached in different ways. Our aim is to better understand how events are represented on the semantic web and how it could be improved. To this end we first turn to the ways events are treated in philosophy and in foundational ontologies. We ask questions such as what sorts of things we call events, what ontological status we assign to events and if and how can events be distinguished from other entities such as situations. Then we move on to an empirical analysis of particular semantic web ontologies for events. In this analysis we find what kinds of things are usually called events on the semantic web (and what kinds of events there are). We use the findings from the philosophy of events to critically assess these ontologies, show their problems and indicate possible paths to their solution.
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Design of Data Structures using RDFS/OWL
Horáková, Linda ; Dudáš, Marek (advisor) ; Mynarz, Jindřich (referee)
The main aim of the bachelor thesis is to explore possibilities and advantages of publishing statistical data on Semantic Web according to Linked Data Principles. In theoretical part readers are familiarized with basic features of Semantic Web, principles and options of publishing Linked Data. The thesis is mainly focused on an analysis of existing vocabularies used for description of statistical data, especially in the field of public spending. The outcome of the analysis is the statement that general vocabularies are more suitable for description of statistical data, because they provide wider possibilities than proprietary ontologies. The result of the analysis was verified by the draft concept of data structure describing the field of public spending, which is based on general Data Cube Vocabulary. The practical part of the thesis also contains construction of SPARQL query which can be used for automatic transformation of current data to the shape that is suitable to the new data structure.
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Modularization of extraction of public procurement data to RDF
Káňa, Jakub ; Mynarz, Jindřich (advisor) ; Dudáš, Marek (referee)
The bachelor thesis deals with extension of data extractor of public contracts gained from server Tenders Electronic Daily. The thesis covers a modularized extractor 10 new types of public contract notices. The data is retrieved from XML by using transformation scenario and they are extracted to RDF/XML data format. The extension is realized on TED-XML and META-XML formats of published data. The work also expands and creates independent library of functions. The library is documented. To ensure the accuracy of the extracted data in terms of syntax and also used ontologies there are used validation tools. For command line syntax validation Jena Apache Riot and for testing the correctness of output in terms of use Public Contracts Ontology RDFUnit testing tool. The contribution of this work is the practical part, allowing you to convert semi-structured data from the Journal of procurement of EU Member States into a fully structured data. Enhanced extractor allows you to extract data from the notices type F04 - F09 and F15 - F18.
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Jean- Paul Sartre´s ontology, it´s consequences and criticism
PAŠEK, Ivo
This work deals with Jean- Paul Sartre´s philosophy. It´s ontological principles examined in Being an nothingness, consequences of this principles for practical philosophy described in Existencialims is humanism and finally selected critical response. First part of the work is focused on terms being in itself and being for itself. Second part tries to present Sartre´s thoughts in the way author presented it in lecture Existentialism is humanism. And the third part deals with critical response.
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SW Support and maintenance: Extension of onthology about COE concept, simplification of effort estimation
Marounek, Petr ; Toman, Prokop (advisor) ; Stecker, Ladislav (referee) ; Dvořák, Jiří (referee) ; Slabý, Antonín (referee)
Effective implementation (in terms of time, cost, utilization of human resources, etc.) of information systems operation is a strategic issue in today's time when business processes are integrally aligned with the informatics. Currently, costs associated with software support and maintenance represent more than 90% of total costs. Software maintenance is a set of activities needed for cost-effective support of IT solution. IS / IT Center of excellence (COE) do not cover the area of software support and maintenance, there is no formalized methodology or procedural framework for COE for support and maintenance -- in reality, it means missing processes and procedures for creating it, management and evaluation of it. Moreover, there are missing recommendation about organization structure, services to be provided and overall continuous improvement. Therefore author proposes his own solution by definition and implementation of center of excellence for support and maintenance and its sub-centers of excellence for support and maintenance of particular applications. Current ontology of support and maintenance does not capture the necessary components and links -- namely missing management, planning and effort estimation views. Therefore author proposes his redefinition and enrichment of ontology of organizational structure about elements of competence and sub-competence center, typology of tasks (management, maintenance), and their management - estimating, planning and realization. In his work, Magne Jorgensen formulated conclusions that 83 to 84% of all estimation is done by pure expert estimates and estimating models are not used basically due to their complexity. Based on extending PERT formula about quality of estimator and historical experience, author introduced his simplified, easy to use approach to effort estimation in software maintenance. Both introduced formulas were verified in sub-competence center for supporting mortgage IS with significantly better result than only pure PERT estimate (98.8% and 91.8% against pure PERT 90.1%). In conclusion, author discusses the benefits of the implementation of center of excellence for support and maintenance and sub-centers of excellence for support and maintenance of particular applications, and overall fulfilling of thesis scope.
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Business Process Improvement through development of ontology
Elischer, Viliam ; Řepa, Václav (advisor) ; Vacura, Miroslav (referee)
The presented thesis offers in a wrapped form some basic information about HR procesess in an existing company and at the same time it draws new improvement options by applying an ontological solution. The aim of the thesis is based on a performed process analysis to select and resolve identified deficiencies by planed process improvements. Furthermore the author's solution enables to extend nowadays available options IT systems. The result of the diploma thesis is the description and categorisation of investigated process inefficiencies, followed by a relevant solution of ontological nature designed for elimination of the detected inefficiencies. The thesis is divided into three parts. First of them is oriented to characterise organization's environment, second part contains detailed analysis of hiring process and its subprocesses. Discussion about one of the most main uneffectivity's way, method of using IT systems in a process of process, runs on a base of knowledge contained in previous parts of the thesis.
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Ontology in philosophy and informatics
Murín, Jozef ; Řepa, Václav (advisor) ; Vacura, Miroslav (referee)
This thesis offers in introduction into ontology in philosophy and informatics. In philosophy, ontology is the study of the most general features of reality. In the field of Informatics the term ontology is starting to be used more often and numerous "ontological approaches" have been proposed recently. In the chapter about ontology in philosophy the meaning is explained on the background of history of philosophy. There generally three meanings of ontology: as a theoretical discipline, as a theory about the structure of reality and as a concrete artefact. It is argued that every science needs a sound ontological base and that the need for ontology increases in times of scientific discovery. The aim of the chapter about ontology in informatics is to show the need and application possibilities for an ontological approach in conceptual modelling, domain engineering and in the area of semantic web. In the end there is a discussion of the terminological confusion about ontology in informatics.
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Extrakce informací z webových stránek pomoci extrakčních ontologií
Labský, Martin ; Berka, Petr (advisor) ; Strossa, Petr (referee) ; Vojtáš, Peter (referee) ; Snášel, Václav (referee)
Automatic information extraction (IE) from various types of text became very popular during the last decade. Owing to information overload, there are many practical applications that can utilize semantically labelled data extracted from textual sources like the Internet, emails, intranet documents and even conventional sources like newspaper and magazines. Applications of IE exist in many areas of computer science: information retrieval systems, question answering or website quality assessment. This work focuses on developing IE methods and tools that are particularly suited to extraction from semi-structured documents such as web pages and to situations where available training data is limited. The main contribution of this thesis is the proposed approach of extended extraction ontologies. It attempts to combine extraction evidence from three distinct sources: (1) manually specified extraction knowledge, (2) existing training data and (3) formatting regularities that are often present in online documents. The underlying hypothesis is that using extraction evidence of all three types by the extraction algorithm can help improve its extraction accuracy and robustness. The motivation for this work has been the lack of described methods and tools that would exploit these extraction evidence types at the same time. This thesis first describes a statistically trained approach to IE based on Hidden Markov Models which integrates with a picture classification algorithm in order to extract product offers from the Internet, including textual items as well as images. This approach is evaluated using a bicycle sale domain. Several methods of image classification using various feature sets are described and evaluated as well. These trained approaches are then integrated in the proposed novel approach of extended extraction ontologies, which builds on top of the work of Embley [21] by exploiting manual, trained and formatting types of extraction evidence at the same time. The intended benefit of using extraction ontologies is a quick development of a functional IE prototype, its smooth transition to deployed IE application and the possibility to leverage the use of each of the three extraction evidence types. Also, since extraction ontologies are typically developed by adapting suitable domain ontologies and the ontology remains in center of the extraction process, the work related to the conversion of extracted results back to a domain ontology or schema is minimized. The described approach is evaluated using several distinct real-world datasets.
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Mapování ontologií a jeho vyhodnocování pomocí vzorů
Zamazal, Ondřej ; Svátek, Vojtěch (advisor) ; Vacura, Miroslav (referee) ; Pokorný, Jaroslav (referee) ; Štuller, Július (referee)
Ontology Matching is one of the hottest topic within the Semantic Web of recent years. There is still ample of space for improvement in terms of performance. Furthermore, current ontology matchers mostly concentrate on simple entity to entity matching. However, matching of whole structures could bring some additional complex relationships. These structures of ontologies can be captured as ontology patterns. The main theme of this thesis is an examination of pattern-based ontology matching enhanced with ontology transformation and pattern-based ontology alignment evaluation. The former is examined due to its potential benefits regarding complex matching and matching as such. The latter is examined because complex hypotheses could be beneficial feedback as complement to traditional evaluation methods. These two tasks are related to four different topics: ontology patterns, ontology transformation, ontology alignment evaluation and ontology matching. With regard to those four topics, this work covers the following aspects: * Examination of different aspects of ontology patterns. Particularly, description of relevant ontology patterns for ontology transformation and for ontology matching (such as naming, matching and transformation patterns). * Description of a pattern-based method for ontology transformation. * Introduction of new methods for an alignment evaluation; including using patterns as a complex structures for more detailed analysis. * Experiments and demonstrations of new concepts introduced in this thesis. The thesis first introduces naming pattern and matching pattern classification on which ontology transformation framework is based. Naming patterns are useful for detection of ontology patterns and for generation of new names for entities. Matching patterns are basis for transformation patterns in terms of sharing some building blocks. In comparison with matching patterns, transformation patterns have transformation links that represent way how parts of ontology patterns are transformed. Besides several evaluations and implementations, the thesis provides a demonstration of getting complex matching due to ontology transformation process. Ontology transformation framework has been implemented in Java environment where all generic patterns are represented as corresponding Java objects. Three main implemented services are made generally available as RESTful services: ontology pattern detection, transformation instruction generation and ontology transformation.
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