Neticle mention graph in which summarizes the key topics, the related sentiments and the connections in large amount of social data about a brand or company.
The iLOC ontology is a generic approach for in-house wayfinding and location description supported by Linked Open Data.
The Internet of Things (IoT) with billions of connected devices has been generating an enormous amount of data every hour.
Query federation over Linked Data sources has gained a significant attention in the last couple of years.
A number of accessible RDF stores are populating the linked open data world. The navigation on data reticular relationships is becoming every day more relevant. Several knowledge base repositories present relevant links to common vocabularies while many others are going to be discovered increasing the reasoning capabilities of our knowledge base applications. Linked Open Graph, LOG, is a web tool for collaborative browsing and navigation on multiple SPARQL entry points, RDF stores and LD in integrated manner. The LOG.disit.org tool is shortening the gap from the users to understand the Linked Data and provides an easy and accessible set of samples to navigate in multiple RDF stores with LD/LOD: providing features and advantages using dbPedia, Getty, Europeana, Geonames, etc. The LOG tool is free to be used, and to be embedded in third party pages. It has been adopted, developed and/or improved in multiple projects: such as ECLAP for social media cultural heritage, Sii-Mobility for smart city, and ICARO for cloud ontology analysis, OSIM for competence / knowledge mining and analysis.
The LOG.DISIT.ORG is covering multiple domains: cultural heritage, library, smart city, smart cloud, e-govern, etc. It allows discovering links, saving and sharing the graphs among a community.