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.

Submitted by Caroline Xavier (caroline.xavier@pucrs.br) on 2017-06-30T17:33:51Z No. of bitstreams: 1 TES_BERNARDO_SEVERO_DE_SOUZA_COMPLETO.pdf: 5113763 bytes, checksum: a24628d427a0a60b3a6ea0c5200d5dfd (MD5) / Made available in DSpace on 2017-06-30T17:33:51Z (GMT). No. of bitstreams: 1 TES_BERNARDO_SEVERO_DE_SOUZA_COMPLETO.pdf: 5113763 bytes, checksum: a24628d427a0a60b3a6ea0c5200d5dfd (MD5) Previous issue date: 2017-02-20 / O aumento do volume de dados n?o estruturados na Web nas ?ltimas d?cadas tem sido impulsionado pelo surgimento de novos meios de comunica??o, dispositivos e tecnologias. Neste contexto se desenvolve a Web Sem?ntica, cujo objetivo ? o de atribuir uma camada de representa??o de conhecimento a esses dados, facilitando o tratamento por processos automatizados. Ontologias s?o elementos chave da Web Sem?ntica, oferecendo uma descri??o dos conceitos e dos relacionamentos entre os mesmos para um dom?nio espec?fico. Entretanto, ontologias de um mesmo dom?nio podem divergir em sua estrutura, granularidade ou terminologia, necessitando que um processo de mapeamento entre as mesmas seja realizado, produzindo um conjunto de correspond?ncias entre entidades semanticamente relacionadas (alinhamento). Um n?mero crescente de abordagens de mapeamento tem surgido na literatura e a necessidade de avaliar e comparar qualitativamente os alinhamentos produzidos se faz presente. Tarefas que fazem uso de alinhamentos passaram a demandar melhores representa??es gr?ficas dos mesmos. Neste contexto, foi realizada uma pesquisa com especialistas em alinhamentos para identificar os aspectos mais importantes em uma visualiza??o de alinhamentos. Este trabalho apresenta ent?o uma abordagem adaptativa de visualiza??o para alinhamentos, que permite ao usu?rio escolher como e o que visualizar, de acordo com prefer?ncias pr?prias ou para uma atividade sendo realizada no momento (cria??o, manipula??o, avalia??o, etc.). Por fim, um prot?tipo foi constru?do com o intuito de validar a solu??o. Os resultados obtidos da avalia??o dos usu?rios com o prot?tipo mostram que a abordagem lida com os problemas que se prop?e a resolver, com uma margem para trabalhos futuros em formas de visualiza??o de alinhamentos. / The increase in the volume of unstructured web data in recent decades has been driven by the arising of new media, devices and technologies. In this context, the Semantic Web was developed, whose objective is to provide a layer of knowledge representation to that data, facilitating the treatment by automated processes. Ontologies are key elements of the Semantic Web, providing a description of the concepts and relationships between them, for a specific domain. However, ontologies of the same domain may differ in structure, granularity or terminology, requiring a process of matching between them to be performed, producing a set of correspondences between semantically related entities (alignment). A growing number of matching approaches have emerged in the literature, and the need to evaluate and qualitatively compare the produced alignments is presented. Tasks that make use of alignments started to demand better graphical representations for it. In this context, a survey was conducted with alignment specialists to identify the most important aspects in an alignment visualization. This work presents an adaptative approach for alignment visualization, that allows users to choose how and what to visualize, according to their own preferences or the task being performed at that moment (creation, manipulation, evaluation, etc.). Finally, a prototype was built with the purpose of validating the solution. The results obtained from the prototype validation with users show that the approach handles the problems it proposes to solve, with a margin for future work on alignment visualization.