Space-aware data integration for ocean observing systems

Date

2012-01-08

Authors

Li, Longzhuang
Nalluri, Anil kumar
Ai, Lirong

ORCID

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier
Elsevier

Abstract

Spatial features are important properties with respect to data integration in many areas such as ocean observational information and environmental decision making. In order to address the needs of these applications, we have to represent and reason about the spatial relevance of various data sources. In this paper, we develop and implement a space-aware data integration prototype system to facilitate retrieval and integration of data from the in situ ocean observing stations in the Gulf of Mexico. The prototype system adopt the state-of-the-art qualitative spatial representation and reasoning techniques to represent partonomic, distance, and topological, and directional relations to answer spatial-related queries.


Spatial features are important properties with respect to data integration in many areas such as ocean observational information and environmental decision making. In order to address the needs of these applications, we have to represent and reason about the spatial relevance of various data sources. In this paper, we develop and implement a space-aware data integration prototype system to facilitate retrieval and integration of data from the in situ ocean observing stations in the Gulf of Mexico. The prototype system adopt the state-of-the-art qualitative spatial representation and reasoning techniques to represent partonomic, distance, and topological, and directional relations to answer spatial-related queries.

Description

Keywords

data integration, qualitative spatial representation, reasoning, data integration, qualitative spatial representation, reasoning

Sponsorship

Rights:

Attribution-NonCommercial-NoDerivatives 4.0 International, Attribution-NonCommercial-NoDerivatives 4.0 International

Citation

Li, L., kumar Nalluri, A. and Ai, L., 2011. Space-Aware Data Integration for Ocean Observing Systems. Procedia Environmental Sciences, 11, pp.285-290.
Li, L., kumar Nalluri, A. and Ai, L., 2011. Space-Aware Data Integration for Ocean Observing Systems. Procedia Environmental Sciences, 11, pp.285-290.