Open Data initiatives from governments and public agencies in Europe have made large amounts of data available on the web. Linked Data principles can help to improve Open Data integration, disclosing the connections between datasets, leveraging a powerful usage of data and enabling innovative ways to improve citizens' life. In this work we present a novel approach for Open Data integration, based on SPARQL federated queries formalized as SPIN rules. This methodology allows the interlinking and enrichment of heterogeneous Open Data, using the distributed knowledge of the Linked Open Data cloud. We present a case study on integrating and publishing, via enrichment and interlinking techniques, tourism domain datasets as Linked Open Data.
Open Data Integration using SPARQL and SPIN - A Case Study for the Tourism Domain. AI*IA 2015: Artificial Intelligence and Human-Oriented Computing, September 23-25 Ferrara (2015), Italy.
Antonino Lo Bue;
2015
Abstract
Open Data initiatives from governments and public agencies in Europe have made large amounts of data available on the web. Linked Data principles can help to improve Open Data integration, disclosing the connections between datasets, leveraging a powerful usage of data and enabling innovative ways to improve citizens' life. In this work we present a novel approach for Open Data integration, based on SPARQL federated queries formalized as SPIN rules. This methodology allows the interlinking and enrichment of heterogeneous Open Data, using the distributed knowledge of the Linked Open Data cloud. We present a case study on integrating and publishing, via enrichment and interlinking techniques, tourism domain datasets as Linked Open Data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
