Contextualizing ontologies

@article{Bouquet2004ContextualizingO,
  title={Contextualizing ontologies},
  author={Paolo Bouquet and Fausto Giunchiglia and Frank van Harmelen and Luciano Serafini and Heiner Stuckenschmidt},
  journal={J. Web Semant.},
  year={2004},
  volume={1},
  pages={325-343}
}
Ontologies are shared models of a domain that encode a view which is common to a set of different parties. Contexts are local models that encode a party's subjective view of a domain. In this paper, we show how ontologies can be contextualized, thus acquiring certain useful properties that a pure shared approach cannot provide. We say that an ontology is contextualized or, also, that it is a contextual ontology, when its contents are kept local, and therefore not shared with other ontologies… CONTINUE READING

Figures and Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 79 CITATIONS

Contextualization of Geospatial Database Semantics for Human–GIS Interaction

VIEW 5 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Automated Ontology Evolution : Utilising Bridging Rules

VIEW 6 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Context Representation in Domain Ontologies and Its Use for Semantic Integration of Data

VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Technologies for data semantic modelling

VIEW 4 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Aspects of Distributed and Modular Ontology Reasoning

VIEW 6 EXCERPTS
CITES METHODS & BACKGROUND

Contextualization of Geospatial Database Semantics for Mediating Human-GIS Dialogues

VIEW 5 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Networked RDF graphs

VIEW 3 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2004
2018

CITATION STATISTICS

  • 10 Highly Influenced Citations

References

Publications referenced by this paper.
SHOWING 1-10 OF 10 REFERENCES

The Unified Medical Language System (UMLS): integrating biomedical terminology

VIEW 1 EXCERPT

Semantic Coordination: A New Approach and an Application

VIEW 1 EXCERPT

F

  • J. Davies, D. Fensel
  • van Harmelen (Eds.), Towards th mantic Web: Ontology-Driven Knowledge Management, J Wiley
  • 2002
VIEW 1 EXCERPT

ML Systems: A Proof Theory for Contexts

1131 A

  • P. G. Baker, C. A. Goble, S. Bechhofer, N. W. Paton, R. Stevens
  • Brass, An ontology for bioinformatics applications, Bioin-1132 formatics 15 (6)
  • 1999
VIEW 1 EXCERPT

Serafini , Distributed description logics : assim1149 ilating information from peer sources

  • L. A. Borgida
  • J . Data Semantics