IESD’14: Reveal at the Workshop on Intelligent Exploration of Semantic Data
This year’s IESD workshop was a lively meeting of scientists and practitioners in the field of exploring semantic web data. The workshop took place in the context of the International Semantic Web conference on October 20th in Riva del Garda, Italy.
The core topics discussed at the workshop were how to enable humans and applications to explore and make use of the rich knowledge resources publicly available on the semantic web. In Reveal, we also make use of these resources to generate context around social media posts. One type of context we are particularly interested in is geospatial context, in other words information about places and locations.
Specific Interest: Geospatial Context
Generating geospatial context also means that once we know that a post is about a certain location, we also want to know which other locations are somehow related to it. Relations can mean multiple things: a building can be located in a town, two cities can be so-called twin cities, or a bus stop can be located in a specific street. At the IESD workshop, researchers from the Reveal project, especially Thomas Gottron of the University of Koblenz, presented methods that focus on the exploration of linked semantic data to find exactly the information that is needed: locations and their relations to other locations and places. Being able to focus on the exploration allows for aggregating context information more effectively and more efficiently.
For Reveal this means that we can generate geospatial context for social media in a better and faster way.
The presentation at the workshop resulted in interesting discussions on which methods for focused exploration work best, and why this is the case. The attendees were also curious about the way in which Reveal is making use of publicly available knowledge resources, and how they are integrated to achieve the project goals.
- More about the workshop
- Paper by Reveal’s Thomas Gottron (with Johannes Schmitz and Stuart E. Middleton): Focused Exploration of Geospatial Context on Linked Open Data
- Presentation by Reveal’s Thomas Gottron