Abstract
The realisation of the di.me userware relies on a comprehensive modelling framework that is able to represent the structure and semantics of a wide-range of information items that are in direct attention of the user, regardless of which device or platform they are native to, as well as their numerous, implicit relationships. The availability of such a framework will not only enable the discovery and integration of distributed personal information, but also pave the way for advanced functions such as reasoning, to deliver the foreseen intelligent, in-context, recommendations to the user.
This deliverable details the advancement in the ubiquitous, distributed and context-dependant personal information management domain, as pursued by digital.me. The digital.me Ontology Framework adopts and extends earlier vocabularies to address the existing knowledge representation limitations in this area. In particular, the new ontologies target Ubiquitous Personal Information Modelling (on multiple devices and online service accounts), Context and Situation Modelling, Access Rights Management for personal information, User Interaction and Situational History, User Presence and LivePost Modelling.
The Ontology Framework will be a main target for dissemination through the OSCAF standardisation body. This strengthens their value, extends their applicability to beyond the digital.me project, and involves discussions with other leaders in knowledge representation for this domain.
About
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Dissemination level: Confidential
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Nature: Accompanying Report to Prototype
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Workpackage: WP 3 Semantic Representation, Lifting and Processing of Personal Data in Context