Geo-data fusion integrator for object-oriented spatiotemporal OLAP cubes

Chun Kit Ngan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We first propose a Geo-Data Fusion Integrator. Specifically, we design a sequential-parallel-modularized (SPM) approach to integrate different datasets into a geo-data object, i.e., a multidimensional unified-OLAP cube, archived in a geo-data warehouse for decision-making analysis. Different datasets of geo-data objects are processed in parallel across multi-stages in sequence, and then integrated into a well-defined OLAP cube. Each SPM component is a self-contained, modularized unit that processes the data. The technical merits of this SPM approach include fast manipulations, error minimization, and easy maintenance. Second, to create a unified geo-data object, we extend the object-oriented spatialoral data model as a multidimensional OLAP cube, i.e., a Star-based Geo-Object-Oriented SpatiotEmporal (S-GOOSE) data model, which combines the advantages of both OLTP and OLAP approaches. This S-GOOSE data model is an object-relational-based cube that enables military operators to analyze unified geo-data objects from multiple dimensions, such as time, space, and location, to help them make a better decision on paths.

Original languageEnglish (US)
Title of host publicationProceedings - 5th International Conference on Computing for Geospatial Research and Application, COM.Geo 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages51-53
Number of pages3
ISBN (Electronic)9781479943210
DOIs
StatePublished - Sep 24 2014
Event5th International Conference on Computing for Geospatial Research and Application, COM.Geo 2014 - Washington, United States
Duration: Aug 4 2014Aug 6 2014

Publication series

NameProceedings - 5th International Conference on Computing for Geospatial Research and Application, COM.Geo 2014

Other

Other5th International Conference on Computing for Geospatial Research and Application, COM.Geo 2014
CountryUnited States
CityWashington
Period8/4/148/6/14

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications
  • Computers in Earth Sciences
  • Information Systems

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    Ngan, C. K. (2014). Geo-data fusion integrator for object-oriented spatiotemporal OLAP cubes. In Proceedings - 5th International Conference on Computing for Geospatial Research and Application, COM.Geo 2014 (pp. 51-53). [6910119] (Proceedings - 5th International Conference on Computing for Geospatial Research and Application, COM.Geo 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/COM.Geo.2014.5