With the rapid growth of multimedia content on the Web and in corporate intranets, discovering hidden semantics in raw multimedia content is becoming one of the biggest challenges. At the same time, there is no cost-efficient and simple-to-use product available yet to tackle this challenge.
After his first contribution to the situation and future of the Semantic Web Sebastian Tramp, CTO of eccenca GmbH and Executive Coordinator of the Linked Enterprise Data Services (LEDS) project, arguments why the vision of the Internet of Things (IoT) and Industry 4.0 cannot be realized without semantic technologies.
Where would the internet and software engineering world be, if the open source and free software community wouldn’t exist? Nowhere near as open and free as it is today, we’d say. Lydia Pintscher is one of the main matadors who has been fighting for transparency and the availability of non-corporate free software for the daily needs of end-users for years.
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.