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Alexopoulos P.,iSOCO Inc | Mylonas P.,Ionian University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2014

Ontology evaluation has been recognized for a long time now as an important part of the ontology development lifecycle, and several methods, processes and metrics have been developed for that purpose. Nevertheless, vagueness is a quality dimension that has been neglected from most current approaches. Vagueness is a common human knowledge and linguistic phenomenon, typically manifested by terms and concepts that lack clear applicability conditions and boundaries such as high, expert, bad, near etc. As such, the existence of vague terminology in an ontology may hamper the latter's quality, primarily in terms of shareability and meaning explicitness. With that in mind, in this short paper we argue for the need of including vagueness in the ontology evaluation activity and propose a set of metrics to be used towards that goal. © 2014 Springer International Publishing. Source


Rico M.,Technical University of Madrid | Corcho O.,iSOCO Inc | Mendez V.,Technical University of Madrid | Gomez-Perez J.M.,Technical University of Madrid
IEEE Internet Computing | Year: 2011

The Universal Plug and Play (UPnP) protocol lets users share multimedia content across devices and display it in multimedia renderers in home-based LANs. However, UPnP doesn't support sharing this content between homes (for example, with friends, relatives, or workmates), and content can be difficult to find. A UPnP extension provides uniform access to multimedia content belonging to different homes, such as content from a user's Facebook friends. In addition, an extended UPnP control point lets users add semantic annotations to their multimedia resources and link them to the linked data cloud to facilitate their discovery by others. © 2011 IEEE. Source


Alexopoulos P.,iSOCO Inc | Wallace M.,University of Peloponnese
Proceedings - 2012 7th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2012 | Year: 2012

Semantic tagging of a textual document involves identifying and assigning to it appropriate entities that best summarize its content, i.e. entities that constitute a representative description of what the document is specifically about. The effective automation of this process requires from the system to be able to distinguish between the entities that play a central role to the documents's meaning and those that are just complementary to it. For example, a news article might make reference to many politicians even when its primary subject is only one of them. To that end, various approaches have utilized ontologies as a means to narrow down the meaning of a document and infer appropriate tags, including a recent contribution of ours regarding a tagging framework that exploits ontological relations. In this work we revise and extend this framework so as to be able to exploit also fuzzy ontological information. Experiments in different domains show that this exploitation manages to improve the effectiveness of the tagging process. © 2012 IEEE. Source


Minarro-Gimenez J.A.,University of Murcia | Egana Aranguren M.,Technical University of Madrid | Villazon-Terrazas B.,iSOCO Inc | Villazon-Terrazas B.,Technical University of Madrid | Fernandez Breis J.T.,University of Murcia
Semantic Web | Year: 2014

OGOLOD is a Linked Open Data dataset derived from different biomedical resources by an automated pipeline, using a tailored ontology as a scaffold. The key contribution of OGOLOD is that it links, in new RDF triples, genetic human diseases and orthologous genes, paving the way for a more efficient translational biomedical research exploiting the Linked Open Data cloud. © 2014 - IOS Press and the authors. Source


Atemezing G.,Eurecom | Corcho O.,Technical University of Madrid | Garijo D.,Technical University of Madrid | Mora J.,Technical University of Madrid | And 4 more authors.
Semantic Web | Year: 2013

We describe the AEMET meteorological dataset, which makes available some data sources from the Agencia Estatal de Meteorologia (AEMET, Spanish Meteorological Office) as Linked Data. The data selected for publication are generated every ten minutes by approximately 250 automatic weather stations deployed across Spain and made available as CSV files in the AEMET FTP server. These files are retrieved from the server, processed with Python scripts, transformed to RDF according to an ontology network (which reuses the W3C SSN Ontology), published in a triple store and visualized using Map4RDF. © 2012 - IOS Press and the authors. All rights reserved. Source

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