ODST 2014 - Track 2: Open Data and the Semantics of Things.

Track Chairs:
Philippe Cudré-Mauroux University of Fribourg, Switzerland.
Mathieu d'Aquin The Open University, UK.
Goals:
Linked data formalisms constitute a solid basis for sharing, linking and integrating heterogeneous information, including descriptions and statistics of concrete events, buildings, persons and knowledge. Semantic technologies play an increasingly important role in analyzing and reasoning upon linked data and their connections to further hypertext structures. This track focuses on the use of semantic web techniques and open data standards for the creation, aggregation, exploitation and analysis of data, information and knowledge in interlinked environments.
Topics of interest include, but are not limited to:
Linked data - management, publication, consumption.
Semantics for the web of things and crowdsourced semantics.
Semantic web techniques for hypertext structures.
Web data dynamics and evolution.
Analyzing and mining interlinked data.
Processing and reasoning upon web-scale, interlinked information.
Knowledge modeling for interlinked data.
User interaction with linked data and semantic web resources.
Privacy and trust in a web of open/semantic linked data.