An Expert-driven Ontology-based Approach to the Collaborative Acquisition of Information

Authors

  • Alejandro Sanchez Laboratorio de Investigación en Informática (LINVI), Dep. de Informática, UNPSJB, Puerto Madryn, Argentina
  • Leonardo Ordinez Laboratorio de Investigación en Informática (LINVI), Dep. de Informática, UNPSJB, Puerto Madryn, Argentina
  • Sergio Firmenich Laboratorio de Investigación en Informática (LINVI), Dep. de Informática, UNPSJB, Puerto Madryn, Argentina
  • Damián Barry Laboratorio de Investigación en Informática (LINVI), Dep. de Informática, UNPSJB, Puerto Madryn, Argentina
  • Rodrigo Santos Dep. de Ingeniería Eléctrica y Computadoras, IIIE UNS-CONICET, Bahia Blanca, Argentina

DOI:

https://doi.org/10.24215/16666038.17.e17

Keywords:

expert-driven, ontology, collaborative acquisition of information

Abstract

This article presents design decisions for an ontologybased framework supporting an expert-driven approach to the collaborative acquisition, integration and analysis of information. It describes a three-tier organization in which components facilitate establishing an information system to assist domain experts in addressing multi-causal dynamic situations where heterogeneous information sources must be integrated and the interaction of a variety of actors must be supported in large geographical areas with possibly low or intermittent connectivity levels. The approach and envisioned framework are illustrated with a case-study in the design of bikeways in urban zones.

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References

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Published

2017-10-01

How to Cite

Sanchez, A., Ordinez, L., Firmenich, S., Barry, D., & Santos, R. (2017). An Expert-driven Ontology-based Approach to the Collaborative Acquisition of Information. Journal of Computer Science and Technology, 17(02), e17. https://doi.org/10.24215/16666038.17.e17

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Section

Original Articles