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.
Dziugas Tornau, the ambassador for Lithuania, is CEO at AtomGraph.
The work of lawyers and civil servants largely relies on reliable sources for legislation, case law and parliamentary documents.
Due to the increasing amount of Linked Data openly published on the Web, user-facing Linked Data Applications (LDAs) are gaining momentum.
NXP has applied Linked Data technologies to create an Enterprise Data Hub by integrating data and metadata from several systems.
This work was done as a part of MSc thesis research.
It is surprisingly difficult to find things on today's Web of Data. You need an IRI to start traversing the interconnected knowledge graph. But how do you find such a resource-denoting IRI?
Histograph: a historical geocoder for search and standardization of place names throughout history.
The Dutch Ships and Sailors project brings together four Dutch maritime historical datasets from the 17th, 18th and 19th Century.