Published May 7, 2002
| Version v1
Conference paper
Corese : a Corporate Semantic Web Engine
- Creators
- Corby, Olivier
- Faron Zucker, Catherine
- Others:
- Knowledge acquisition for aided design through agent interaction (ACACIA) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
Description
With the aim of building a Corporate Semantic Web, the content of the documents must be explicitly represented through metadata in order to enable contents-guided search. The Corese engine is dedicated to the querying of corporate semantic webs whose documents are described into RDF annotations. Corese interprets these RDF metadata in the Conceptual Graphs (CG) model in order to exploit the inference capabilities of this formalism. This paper presents our mapping of RDF into CG and its interest in the context of a Corporate Semantic Web.
Abstract
International audience
Additional details
- URL
- https://hal.inria.fr/hal-01822512
- URN
- urn:oai:HAL:hal-01822512v1
- Origin repository
- UNICA