María Pérez Catalán

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In this demonstration we present XTaGe (XML Tester and Generator), a flexible tool for the creation of complex XML collections. XTaGe focuses on XML collections with complex structural constraints and domain-specific characteristics, which would be very difficult or impossible to replicate using existing XML generators. It addresses the limitations of(More)
Research in the Life Sciences depends on the integration of large, distributed and heterogeneous web resources (e.g., data sources and web services). The discovery of which of these resources are the most appropriate to solve a given task is a complex research question, since there are many candidate resources and there is little, mostly unstructured,(More)
Apoptosis is an active form of cell death that, in balance with mitosis, regulates cell number. Cell number abnormalities are a frequent feature of renal disease. We now review current concepts on the molecular regulation of apoptotic cell death, including the influence of survival and lethal factors from the extracellular microenvironment as well as the(More)
This paper presents a novel method for semantic annotation and search of a target corpus using several knowledge resources (KRs). This method relies on a formal statistical framework in which KR concepts and corpus documents are homogeneously represented using statistical language models. Under this framework, we can perform all the necessary operations for(More)
We introduce XTaGe (XML Tester and Generator), a system for the synthesis of XML collections meant for testing and micro-benchmarking applications. In contrast with existing approaches, XTaGe focuses on complex collections, by providing a highly extensible framework to introduce controlled variability in XML structures. In this paper we present the(More)
BACKGROUND Open metadata registries are a fundamental tool for researchers in the Life Sciences trying to locate resources. While most current registries assume that resources are annotated with well-structured metadata, evidence shows that most of the resource annotations simply consists of informal free text. This reality must be taken into account in(More)