Interoperability for geospatial analysis: a semantics and ontology-based approach

Authors:
Zarine Kemp;Lei Tan;Jacqueline Whalley
Affiliations:
University of Kent, Canterbury, Kent, U.K.;University of Kent, Canterbury, Kent, U.K.;Auckland University of Technology, Auckland, New Zealand
Venue:
ADC '07 Proceedings of the eighteenth conference on Australasian database - Volume 63
Year:
2007

Citing 6
Cited 2

Information Systems that Really Support Decision-Making

Journal of Intelligent Information Systems - Special issue on methodologies for intelligent information systems
The ADEPT digital library architecture

Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Meditation to Deal with Heterogeneous Data Sources

INTEROP '99 Proceedings of the Second International Conference on Interoperating Geographic Information Systems
From databases to dataspaces: a new abstraction for information management

ACM SIGMOD Record
Contextualizing ontologies

Web Semantics: Science, Services and Agents on the World Wide Web
Databases in grid applications: locality and distribution

BNCOD'05 Proceedings of the 22nd British National conference on Databases: enterprise, Skills and Innovation

Framework of integration for collaboration and spatial data mining among heterogeneous sources in the web

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics
Geometrical DCC-Algorithm for merging polygonal geospatial data

ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

Information extraction and integration from heterogeneous, autonomous data resources are major requirements for many spatial applications. Geospatial analysis for scientific discovery involves identification of relevant information resources, extraction and fusion of requisite subsets of the information, application of spatial analytical techniques and visualization of the results in an appropriate form. The motivating application domain underlying this research is marine environmental management, although the principles discussed apply to a wide range of scientific disciplines. The research discussed in the paper focuses on integration of data sources, data exploration and interactive data analysis. A knowledge base is used to capture the semantics of the spatial, temporal and thematic dimensions at a domain level, and the context-aware framework exploited to meet the requirements of a varied and distributed user community with differing objectives.