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This article describes SciProv, an architecture that aims to interact with Scientific Workflow Management Systems in order to capture and manipulate provenance metadata. For this purpose, SciProv adopts an approach based on an abstract model for representing the lineage. This model, called Open Provenance Model (OPM), allows that SciProv can set up a homogeneous and interoperable infrastructure for handling provenance metadata. As a result, SciProv is able to provide a framework for query metadata provenance generated in an e-Science scenario. Moreover, the architecture uses semantic web technology in order to process provenance queries. In this context, using ontologies and inference engines, SciProv can make inferences about lineage and, based on these inferences, obtain important results based on extraction of information beyond those that are registered explicitly from the data managed.