Luis Daniel Ibáñez

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There has been an explosion of hyperlinked data in many domains, e.g., the biological Web. Expressive query languages and effective ranking techniques are required to convert this data into browsable knowledge. We propose the Graph Information Discovery (GID) framework to support sophisticated user queries on a rich web of annotated and hyperlinked data(More)
Social semantic web technologies led to huge amounts of data and information being available. The production of knowledge from this information is challenging, and major efforts, like DBpedia, has been done to make it reality. Linked data provides interconnection between this information, extending the scope of the knowledge production. The knowledge(More)
Under the umbrella of the Semantic Web, Linking Open Data projects have made available a large number of semantically intra-and interconnected links. As an example, in the biomedical domain, data about disorders, disease related genes and proteins, clinical trials, and drugs or interventions are accessible on the Linked Open Data cloud. In addition, domain(More)
The web was originally conceived as decentralized and universal, but during its popularization, its big value was built on centralized servers and nonuniversal access. A key element to redecentralize the web is to be able to generate trustable, secure, and accountable updates among autonomous participants without a central server. The authors believe that(More)
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