NdFluents: A Multi-dimensional Contexts Ontology
Artificial Intelligence
2016-09-23 v1
Abstract
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.
Keywords
Cite
@article{arxiv.1609.07102,
title = {NdFluents: A Multi-dimensional Contexts Ontology},
author = {José M. Giménez-García and Antoine Zimmermann and Pierre Maret},
journal= {arXiv preprint arXiv:1609.07102},
year = {2016}
}