Bernhard Haslhofer about his motivation to work as advisor for Semantic Web Company
Being a researcher by training, it is my job to know the state of the art and to make significant and original contributions in my research field. Understanding and keeping at least in pace with technological developments is certainly challenging but also a major motivation for this job.
In the field of computer science it is common practice to validate and/or demonstrate novel techniques by writing papers and implementing software prototypes. Even though many of those prototypes offer innovative and novel features, they often remain hidden within the scientific community because of lacking long-term support or missing market knowledge and business skills. Turning research-driven innovation into products therefore requires innovative enterprises that can offer those complementary skills and are open to novel technological approaches.
I strongly believe that a tight cooperation between people from academia and industry brings mutual benefits for both sides: research-driven innovation for enterprises as well as valuable real-world feedback loop for academia.
In recent years, people at SWC have already demonstrated awareness and a high level of openness to novel ideas and developments in academia (e.g., Linked Data) and, above all, showed how those ideas can successfully be transformed into products and business. In my new role as Chief Data Scientist at SWC I am looking forward to further support research-driven innovation by questioning the status quo and identifying concrete steps to improve product features, with the overall goal of getting better in what we do.
Short Bio Bernhard Haslhofer
Dr. Bernhard Haslhofer is working as a Data Scientist at the Austrian Institute of Technology. His research interest lies in gaining insights from large-scale and connected datasets by applying machine learning, information retrieval, and network analytics techniques. Previously, Bernhard worked as post doctoral researcher and lecturer at Cornell University Information Science, and received a Ph.D. in Computer Science from University of Vienna. He has numerous Linked Data related publications, serves in several related program committees, and is a recipient of an EU Marie Curie Fellowship and several research awards.
