A abordagem POESIA para a integração de dados e serviços na Web semantica

POESIA (Processes for Open-Ended Systems for Inforrnation Analysis), the approach proposed in this work, supports the construction of complex processes that involve the integration and analysis of data from severa! sources, particularly in scientific applications. This approach is centered in two types of semantic Web mechanisms: scientific workflows, to specify and compose Web services; and domain ontologies, to enable semantic interoperability and management of data and processes. The main contributions of this thesis are: (i) a theoretícal framework to describe, discover and compose data and services on the Web, including rules to check the semantic consistency o f resource compositions; (ii) ontology-based methods to help data integration and estimate data provenance in cooperative processes on the Web; (iii) partia! implementation and validation of the proposal, in a real application for the domain of agricultura! planning, analyzing the benefits and scalability problems of the current semantic Web technology, when faced with large volumes of data.