People like you and me are no longer the only consumers of the World Wide Web. Automated clients are starting to browse the Web for us. They face many obstacles, including a giant semantic gap.
My belief is that if we want to see intelligent clients, we should stop trying to build intelligent servers. We should shift our focus towards new methods of building clients that emphasize serendipitous reuse of data and functionality.
This is why I'm a postdoctoral researcher in semantic hypermedia at Multimedia Lab, a research group of iMinds and Ghent University. I love to think and discuss about the Semantic Web, hypermedia clients and APIs, Linked Data, Web architecture, and much more. If you like these things too, then we should talk.
- Fostering intelligence by enabling it
- Intelligent agents require an environment that allows them to act smart.
- 600,000 queryable datasets—and counting
- The LOD Laundromat and Triple Pattern Fragments offer scalable Web querying.
- Thank you for your attention
- An audience shouldn't do you a favor by listening—do them a favor by explaining.
Take a look at my projects to see what I'm working on at Multimedia Lab:
- Linked Data Fragments
- Query Linked Data on a Web scale by moving intelligence to the client.
- Describe your hypermedia APIs so that automated agents can use them.
- Distributed Affordance
- Create personalized links through semantics and Web APIs.
- Free Your Metadata
- Open up your precious metadata to the Web.
- Reasoning on the Web
- Discover Semantic Web reasoning through open source projects.
Discover more about my research through my recent publications:
- Drawing Conclusions from Linked Data on the Web (2015) Details Full text BibTeX Mendeley
- Modeling Information Diffusion in Social Media as Provenance with W3C PROV (2015) Details Full text BibTeX Mendeley
- Reconnecting Digital Publications to the Web using their Spatial Information (2015) Details Full text BibTeX Mendeley
- Visualizing Collaborations and Online Social Interactions at Scientific Conferences for Scholarly Networking (2015) Details Full text BibTeX Mendeley
- TinCan2PROV: Exposing Interoperable Provenance of Learning Processes through Experience API Logs (2015) Details Full text BibTeX Mendeley
See all my publications…