National Repository of Grey Literature 5 records found  Search took 0.00 seconds. 
Ontology matching and integration on the Semantic web
Apfelbecková, Anežka ; Zamazal, Ondřej (advisor) ; Vacura, Miroslav (referee)
Evolution of informatics ontologies is related to the evolution of semantic web. There is a large scale of ontologies designed to describe various application areas today. To cover the largest possible part of them, ontologies that use similar terminology and that have been designed for the particular domain are mapped and integrated. While the matching process allows to discover relationships and similarities between individual parts of ontologies, the integration process merges existing ontologies to create new ones. The aim of the thesis is to introduce basic principles of semantic web and knowledge ontologies. Practical part of the study is focused on ontology merging. The output of the thesis is created by the results of experimental measurement. Two independent ontology merging systems have been used for the experiment: DKP-OM and PROMPT. Integration results have then been compared and evaluated with general metrics. The bachelor thesis is divided into several sections. First part describes the theory behind semantic web and knowledge ontologies. Second chapter defines the matching process and ontology integration and introduces the tools used for the experiment. Third chapter covers evaluation metrics of ontology integration. The last part focuses on the experiment itself and its evaluation.
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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