The publication of semantic web data, commonly represented in Resource Description Framework (RDF), has experienced outstanding growth over the last few years. Data from all fields of knowledge are shared publicly and interconnected in active initiatives such as Linked Open Data. However, despite the increasing availability of applications managing large-scale RDF information such as RDF stores and reasoning tools, little attention has been given to the structural features emerging in real-world RDF data. Our work addresses this issue by proposing specific metrics to characterise RDF data. We specifically focus on revealing the redundancy of each data set, as well as common structural patterns. We evaluate the proposed metrics on several data sets, which cover a wide range of designs and models. Our findings provide a basis for more efficient RDF data structures, indexes and compressors.

at the Lifelog task of NTCIR-14. In this paper, a new interactive retrieval engine is described that supports faceted retrieval and we present the results of an initial experiment with four users. Following this initial experiment, we implement a list of changes for a revised interactive retrieval engine for the LSC2019 comparative evaluation competition. The interactive retrieval system we describe utilises the wide range of lifelog metadata provided by the task organisers to develop an extensive faceted retrieval system.

This paper surveys the main data models used in projects including the management of changes in digital normative legislation. Models have been classified based on a set of criteria, which are also proposed in the paper. Some projects have been chosen as representative for each kind of model. The advantages and problems of each type are analysed, and future trends are identified.

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Los movimientos de acceso abierto impulsan a los organismos principalmente estatales a publicar sus datos lo más pronto posible. Las tecnologías de Linked Data ayudan en esta dirección. En este artículo se presentan conceptos y herramientas que pueden ser útiles para implementar proyectos de Linked Data, así como también algunas aplicaciones al gobierno electrónico. Nuestro objetivo es proporcionar una visión general de esta nueva área y su potencial uso, particularmente en el ámbito del gobierno electrónico. Para una implementación a gran escala es necesario desarrollar metodologías para generar y publicar Linked Data en la Web, desarrollar algoritmos para interconectar datos automáticamente, asegurar la pervivencia de los enlaces, desarrollar estándares para registrar información de las fuentes de datos, asegurar la privacidad, seguridad y preservación de los datos generados, crear herramientas para facilitar la búsqueda y despliegue de Linked Data.