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Précis querying over relational data
Štuller, Július ; Kopecký, Michal (referee) ; Pokorný, Jaroslav (advisor)
Free form of querying a database belongs among basic methods of text processing. In the past, a number of attempts appeared to use this style of querying also over a relational database (e.g. system BAROQUE [3] in 80ties). Authors of [1] introduce a new technique of a free querying, in which complex queries in SQL over a relational database are automatically generated. As an answer they provide more relations than one as it is usual in relational database languages. User preferences are considered, e.g. according to his/her profile. The goal of thesis is to design and implement a prototype of a system that offers such functionality on the top an existing relational DBMS.
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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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Proceedings of EDBT 2002 PhD Workshop
Lindner, W. ; Štuller, Július
This volume contains the proceedings of the VIII. International Conference on Extending Database Technology (EDBT) Ph.D. Workshop held on March 28, 2002, in Pratur, Czech Republic. Continuing in its tradition, the EDBT Ph.D. Workshop brings together Ph.D. students in the field of database technology. It offers Ph.D. students the opportunity to present, discuss, and receive feedback on their research in a constructive and international environment.
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