The main goal of the workshop is to gather research topics and activities within the thematic area of Digital Lifelogs to channelize synergies between the partners of EIT-ICT - and beyond. The research topics and activities encompass but are not restricted to:
- Modelling structure and content of Digital Lifelogs,
- Infrastructures for building and exploiting digital lifelogs,
- New interaction paradigms for user support from Digital Lifelogs,
- Applications on top of Digital Lifelogs,
- User studies concerning a short-term and long-term evaluation of digital Lifelogs.
For more information, please contact the workshop chair Alexander Kröner.
DOMe 2009, DOME-IoT 2010, NOMe-IoT 2011, DOMe-IoT 2012
Digital Object Memories comprise hardware and software components that physically and/or conceptually associate digital information with real-world objects in an application-independent manner. Such information can take many different forms (structured data and documents, pictures, audio/video streams, etc.) and originate from a variety of sources (automated processes, sensors in the environment, users, etc.). If constantly updated, Digital Object Memories over time provide a meaningful record of an object's history and use.
The workshop on Digital Object Memories aims at bringing together technical experts, artists, designers, and possible end-users of smart item memories in order to discuss technical, social, privacy, and legal implications of item memory systems, to establish a common view on requirements to digital memories, and to leverage cooperation in future activities.
The Object Memory Modeling Incubator Group (OMM XG) is a part of the W3C's Incubator Activity (http://www.w3.org/2005/Incubator/). The mission of the OMM XG is to define an object memory format, which allows for modeling of events or other information about individual physical artifacts - ideally over their lifetime - and which is explicitly designed to support data storage of those logs on so-called smart labels attached to the physical artifact.