Linked Open Data - Creating Knowledge Out of Interlinked Data: Results of the LOD2 Project

Database Management; Artificial Intelligence (incl. Robotics); Information Systems and Communication Servic

Guidelines for Linked Data generation and publication: an example in building energy consumption

Linked Data is the key paradigm of the Semantic Web, a new generation of the World Wide Web that promises to bring meaning (semantics) to data. A large number of both public and private organizations have published their data following the Linked Data principles, or have done so with data from other organizations. To this extent, since the generation and publication of Linked Data are intensive engineering processes that require high attention in order to achieve high quality, and since experience has shown that existing general guidelines are not always sufficient to be applied to every domain, this paper presents a set of guidelines for generating and publishing Linked Data in the context of energy consumption in buildings (one aspect of Building Information Models). These guidelines offer a comprehensive description of the tasks to perform, including a list of steps, tools that help in achieving the task, various alternatives for performing the task, and best practices and recommendations. Furthermore, this paper presents a complete example on the generation and publication of Linked Data about energy consumption in buildings, following the presented guidelines, in which the energy consumption data of council sites (e.g., buildings and lights) belonging to the Leeds City Council jurisdiction have been generated and published as Linked Data

Linked open data: creating knowledge out of interlinked data : results of the LOD2 project

Linked Open Data (LOD) is a pragmatic approach for realizing the Semantic Web vision of making the Web a global, distributed, semantics-based information system. This book presents an overview on the results of the research project “LOD2 -- Creating Knowledge out of Interlinked Data”. LOD2 is a large-scale integrating project co-funded by the European Commission within the FP7 Information and Communication Technologies Work Program. Commencing in September 2010, this 4-year project comprised leading Linked Open Data research groups, companies, and service providers from across 11 European countries and South Korea. The aim of this project was to advance the state-of-the-art in research and development in four key areas relevant for Linked Data, namely 1. RDF data management; 2. the extraction, creation, and enrichment of structured RDF data; 3. the interlinking and fusion of Linked Data from different sources and 4. the authoring, exploration and visualization of Linked Data

Linked Open Data - Creating Knowledge Out of Interlinked Data: Results of the LOD2 Project

Database Management; Artificial Intelligence (incl. Robotics); Information Systems and Communication Servic

Handbook of successful open teaching practices

The document presents 24 open teaching practices, with the aim to inspire teachers to adopt open approaches, as well as an original competences framework for Open Education.Erasmus +info:eu-repo/semantics/publishedVersio

Guía de buenas prácticas para la educación abierta

El documento presenta 24 prácticas de educación abierta que pretenden inspirar a los profesores para que tengan un acercamiento abierto a ellas. Por otro lado, también quieren actuar como un marco original de competencias para la Educación Abierta.OpenGame Project - Promoción de la educación abierta a través de la gamificación, Ref: 2019-1-ES01-KA203-065815, Site : https://opengame-project.eu/info:eu-repo/semantics/publishedVersio

Describing Digital Humanities Projects With Linked Data: A Task-based Evaluation of Linked Data Ontologies

This study attempts to shed light on the lack of semantic web infrastructure for documenting digital humanities projects by creating a proof-of-concept workflow for manual and semi-automatic semantic web data creation. First, utilizing a set of five ontologies, triple data is created for a set of four projects from the University of North Carolina at Chapel Hill. The utility of these data is then determined via task-based assessment alongside a set of metrics for the data retrieved for the tasks. Ultimately, this study aims to detail the benefits of improving linked open data support for describing, and ultimately preserving, digital humanities projects in hopes of paving a path for the creation of a LOD database for digital humanities projects.Master of Science in Information Scienc

Evaluaci??n de la utilizaci??n y prestaciones del Opac de la Biblioteca Central de la UNSTA

Evaluar la utilizaci??n y prestaciones del Opac y Bases de Datos de la Biblioteca Central de la UNSTA y sus funcionalidades en especial a las que est??n directamente relacionadas a la b??squeda y recuperaci??n de la informaci??n. Asimismo evaluar el comportamiento de los usuarios que utilizan el Opac. y Bases de Datos