This event is proudly hosted by the The Department for Information and Communication Technology of the Staatliche Museen zu Berlin to perpetuate its commitment the topic area and service to the community.
Join us a for this session to discover and experiment with ideas to create digital narratives with Semantic Web / Linked Data. Current Semantic Web stores tend to focus on data structures that resemble relatively "static" data objects with literal properties resulting in shallow graph hierarchies. In this session we want to explore and discuss ideas to incorporate additional contextual data to string data points together to form "story sequences" based on pragmatic and/or logical "spines".
We will focus on museum, historical and cultural heritage data but do not limit the discussion to this domain. Other possible application domains could be discussed such as media, news and situation awareness in mobile computing.
If you would like to present at this event please get in touch and let us know.
Collaborative Data Stories - Thomas Tunsch
Museum Portal smb-digital - Boris Gliesmann
Erlangen CRM - Georg Hohmann
Germanisches Nationalmuseum Nuremberg
The Erlangen CRM / OWL is an OWL-DL 1.0 implementation of the CIDOC Conceptual Reference Model (CIDOC CRM).It has been originally created by Bernhard Schiemann, Martin Oischinger and Günther Görz at the Friedrich-Alexander-University of Erlangen-Nuremberg, Department of Computer Science, Chair of Computer Science 8 (Artificial Intelligence) in cooperation with the Department of Museum Informatics at the Germanisches Nationalmuseum Nuremberg and the Department of Biodiversity Informatics at the Zoologisches Forschungsmuseum Alexander Koenig Bonn. It is currently maintained by Martin Scholz, Georg Hohmann and Mark Fichtner.The Erlangen CRM / OWL is an interpretation of the CIDOC CRM in a logical framework attempting to be as close as possible to the text of the specification.
OWL 2: Profiles, Applications, and Modeling Issues - Pavel Klinov
This talk will present an overview of the OWL 2 family of languages. Namely, Pavel will describe the Profiles which have superseded the old OWLFull, OWL DL, and OWL Lite languages, and explain their differences,design, and motivation. For each profile we will discuss its target applications and the available tool support. In addition, he will present a perspective on limitations of knowledge engineering in OWL (from a modeling adequacy and computational practicality point of view) so that commonly used workarounds could as well be discussed.