Companies still lack a strong framework to convert big data sources into high-quality, structured knowledge which can support the enhancement of business process and profit generation. After all, smart data is not only a question of the right software. It’s also dependent on right data engineering.
Volker Tresp truly is a veteran on the field of machine learning and semantic technologies. Having received his MSc and PhD at the Yale University in 1986 and 1989, respectively, he’s been leading research teams at Siemens for the last 27 years.
Cathy Dolbear has been around for some time. Holding a DPhil in Information Engineering she has helped Sharp as well as Motorola to develop patented personalisation and multimedia technologies. In between she developed semantic web technologies in the geospatial domain for the British mapping agency Ordnance Survey where she also researched ontology design and multi-database interoperability.
The European Linked Data Contest awards prizes to stories, products, projects or persons presenting novel and innovative projects, products and industry implementations involving linked data.
Holding a PhD in semantic web technologies from the Knowledge Media Institute (The Open University, UK) as well as advanced degrees in logic and philosophy of language from the University of Venice (Italy), Michele Pasin is the perfect product manager for the highly ambitioned Knowledge Graph
Business intelligence needs to be enriched by real intelligence. The function of business intelligence has always been the major force to give companies a heads-up to their competitors.
As a head-up to the SEMANTiCS 2016 we invited several experts from the LEDS project to talk a bit about their work and visions. They will share their insights into the fields of natural language processing, e-commerce, e-government, data integration and quality assurance right here. So stay tuned.
