Preface to Semantic Web Collaborative Spaces: Second International Workshop, SWCS 2013, Montpellier, France, May 27, 2013, Third International Workshop, SWCS 2014, Trentino, Italy, October 19, 2014, Revised Selected and Invited Papers

This book constitutes the thoroughly refereed post-workshop proceedings of the Second International Workshop on Semantic Web Collaborative Spaces, SWCS 2013, held in Montpellier, France, in May 2013, and the Third International Workshop on Semantic Web Collaborative Spaces, SWCS 2014, held in Trentino, Italy, in October 2014. The 6 revised extended papers presented were carefully reviewed and selected from 10 submissions. The papers are grouped in topical sections on challenges in collaborative spaces, modeling collaborative communities and the role of semantics, semantic MediaWiki communities, and exploiting semantics in collaborative spaces.Not peer reviewe

Preface to Semantic Web Collaborative Spaces: Second International Workshop, SWCS 2013, Montpellier, France, May 27, 2013, Third International Workshop, SWCS 2014, Trentino, Italy, October 19, 2014, Revised Selected and Invited Papers

This book constitutes the thoroughly refereed post-workshop proceedings of the Second International Workshop on Semantic Web Collaborative Spaces, SWCS 2013, held in Montpellier, France, in May 2013, and the Third International Workshop on Semantic Web Collaborative Spaces, SWCS 2014, held in Trentino, Italy, in October 2014. The 6 revised extended papers presented were carefully reviewed and selected from 10 submissions. The papers are grouped in topical sections on challenges in collaborative spaces, modeling collaborative communities and the role of semantics, semantic MediaWiki communities, and exploiting semantics in collaborative spaces.Not peer reviewe

Discovering Wikipedia Conventions Using DBpedia Properties

Wikipedia is a public and universal encyclopedia where contributors edit articles collaboratively. Wikipedia infoboxes and categories have been used by semantic technologies to create DBpedia, a knowledge base that semantically describes Wikipedia content and makes it publicly available on the Web. Semantic descriptions of DBpedia can be exploited not only for data retrieval, but also for identifying missing navigational paths in Wikipedia. Existing approaches have demonstrated that missing navigational paths are useful for the Wikipedia community, but their injection has to respect the Wikipedia convention. In this paper, we present a collaborative recommender system approach named BlueFinder, to enhance Wikipedia content with DBpedia properties. BlueFinder implements a supervised learning algorithm to predict the Wikipedia conventions used to represent similar connected pairs of articles; these predictions are used to recommend the best conventions to connect disconnected articles. We report on an exhaustive evaluation that shows three remarkable elements: 1 The evidence of a relevant information gap between DBpedia and Wikipedia; 2 Behavior and accuracy of the BlueFinder algorithm; and 3 Differences in Wikipedia conventions according to the specificity of the involved articles. BlueFinder assists Wikipedia contributors to add missing relations between articles, and consequently, it improves Wikipedia content.Trabajo publicado en Lecture Notes in Computer Science book series (LNCS, vol. 9507).Laboratorio de Investigación y Formación en Informática Avanzad

Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams

The rise of the Internet of Things leads to an unprecedented number of continuous sensor observations that are available as IoT data streams. Harmonization of such observations is a labor-intensive task due to heterogeneity in format, syntax, and semantics. We aim to reduce the effort for such harmonization tasks by employing a knowledge-driven approach. To this end, we pursue the idea of exploiting the large body of formalized public knowledge represented as statements in Linked Open Data