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arxiv: 1609.07102 · v1 · pith:FB5LCRTYnew · submitted 2016-09-22 · 💻 cs.AI

NdFluents: A Multi-dimensional Contexts Ontology

classification 💻 cs.AI
keywords contextdatadimensionontologyaddressallowsannotatingannotation
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Annotating semantic data with metadata is becoming more and more important to provide information about the statements being asserted. While initial solutions proposed a data model to represent a specific dimension of meta-information (such as time or provenance), the need for a general annotation framework which allows representing different context dimensions is needed. In this paper, we extend the 4dFluents ontology by Welty and Fikes---on associating temporal validity to statements---to any dimension of context, and discuss possible issues that multidimensional context representations have to face and how we address them.

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