On Reasoning with RDF Statements about Statements using Singleton Property Triples

The Singleton Property (SP) approach has been proposed for representing and querying metadata about RDF triples such as provenance, time, location, and evidence. In this approach, one singleton property is created to uniquely represent a relationship in a particular context, and in general, generates a large property hierarchy in the schema. It has become the subject of important questions from Semantic Web practitioners. Can an existing reasoner recognize the singleton property triples? And how? If the singleton property triples describe a data triple, then how can a reasoner infer this data triple from the singleton property triples? Or would the large property hierarchy affect the reasoners in some way? We address these questions in this paper and present our study about the reasoning aspects of the singleton properties. We propose a simple mechanism to enable existing reasoners to recognize the singleton property triples, as well as to infer the data triples described by the singleton property triples. We evaluate the effect of the singleton property triples in the reasoning processes by comparing the performance on RDF datasets with and without singleton properties. Our evaluation uses as benchmark the LUBM datasets and the LUBM-SP datasets derived from LUBM with temporal information added through singleton properties

Característiques socioeconòmiques i estructura física del centre històric de Lledia

Es presenta el gruix dels resultats producte de l’encàrrec realitzat per l’Ajuntament de Lleida a la Càtedra de Geografia Humana de la Universitat de Lleida sobre l’anàlisi de les dades referides a població, activitat econòmica i característiques de l’edificació i de la fàbrica urbana del centre històric de la ciuta

Decentralized provenance-aware publishing with nanopublications

Publication and archival of scientific results is still commonly considered the responsability of classical publishing companies. Classical forms of publishing, however, which center around printed narrative articles, no longer seem well-suited in the digital age. In particular, there exist currently no efficient, reliable, and agreed-upon methods for publishing scientific datasets, which have become increasingly important for science. In this article, we propose to design scientific data publishing as a web-based bottom-up process, without top-down control of central authorities such as publishing companies. Based on a novel combination of existing concepts and technologies, we present a server network to decentrally store and archive data in the form of nanopublications, an RDF-based format to represent scientific data. We show how this approach allows researchers to publish, retrieve, verify, and recombine datasets of nanopublications in a reliable and trustworthy manner, and we argue that this architecture could be used as a low-level data publication layer to serve the Semantic Web in general. Our evaluation of the current network shows that this system is efficient and reliable

Projecte Constructiu de la Variant de la C-28 al seu pas per Vielha

L’objecte del present projecte és la definició i valoració de les obres necessàries per l’execució d’una variant de la carretera C-28 al seu pas per Vielha, amb la finalitat de permetre una circulació més ràpida, segura y directa que l’actual. La carretera C-28 passa actualment pel l’interior del nucli urbà de Vielha, capital de la comarca de la Val d’Aran. El fet d’evitar el pas de la carretera per l’interior del nucli urbà propicia una millora en la qualitat de vida dels habitants del municipi, mitjançant la reducció del risc d’accidents i de la contaminació acústica, al mateix temps que permet una reducció del temps de viatge per tots aquells usuaris de la carretera la destinació dels quals els obliga a passar pel municipi de Vielha. En aquest sentit, cal fer un esment a la importància turística i mediambiental de la zona

Bitcoin data analysis

This paper analyses 26 time series that measure daily data for different attributes of the Bitcoin network and studies how the virtual currency behaves compared to a basket of currencies containing the Brazil Real (BRL), the Chinese Yuan (CNY), the Euro (EUR), and the Japan Yen (JPY) against the US Dollar (USD). Basic statistics about the time series have been taken and stationarity has been studied in order to build sterilized fact data and meaningful cointegrations have been found among them. By applying a Vector Autoregressive (VAR) model, a regression has been built among the currencies and the Granger causality test has been applied in order to determine whether one time series (of a given currency) is useful in forecasting another and to observe causal relationships among the currencies studied.Outgoin