Knowledge Engineering and DIscovery (KEDI) tools and demos

These are the tools and demos of the Knowledge Engineering and DIscovery (KEDI) group

LOD4All

LOD4All

LOD4All public service leverages Linked Open Data search and consumption by providing services for human and computer to search/access/download over more than 40 billion entities (schema and instances) that compose the Linked Open Data network. LOD4All service is reusing the LOD cloud diagram and allows filtering data by domain, license, etc.
SPARQLES

SPARQLES

SPARQL Endpoint Status (SPARQLES) application is designed to monitor SPARQL Endpoints. It measures the availability of the service, the compliancy with version 1 and 1.1 of the standard, the performance using representative query patterns and the discoverability by machines on the Web.
Financial Use Case – Hikaku

Financial Use Case – Hikaku

Hikaku prototype provides new insight in company reports data by combining data from various sources such as US SEC reports, Crunchbase, Wikipedia or New York Times articles. It enables the joint use of financial data from complementary database and provides contextual information for a financial event (e.g. explanation from newspaper articles of a sudden drop in a company stock price).
HealthCare Use Case – Linkspire

HealthCare Use Case – Linkspire

Linkspire prototype provides new insight in Adverse Drug Reaction by combining data from various sources such as Sider, DrugBank, Diseasome or PubMed bibliographic database. We apply innovative semantic based technologies to make sense of Big Data. Such approach allows us to make explicit Adverse Drug Reactions facts from scattered latent information.