Temporal Land Information System (TLIS) for dynamically changing cadastral data

Joon Heo, Jeong Hyun Kim, Seoungpil Kang

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

1 Citation (Scopus)

Abstract

Cadastral data composed of land boundary and ownership has a very dynamic nature while conventional GIS data model assumes the world is static. In order to fill the gap, authors clarified the dynamic nature of cadastral data and presented the analysis of functional requirements, and then developed a spatio-temporal model and relevant functionalities, which can deal with real world cadastral data. The proposed model and functions were implemented using prolog, XPCE, and C++. The value of this study is to uncover the need for the integration of all historical cadastral data and the feasibility of the system development for the future.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2006
Subtitle of host publicationInternational Conference, Proceedings - Part II
PublisherSpringer Verlag
Pages1066-1073
Number of pages8
ISBN (Print)3540340726, 9783540340720
DOIs
Publication statusPublished - 2006
EventICCSA 2006: International Conference on Computational Science and Its Applications - Glasgow, United Kingdom
Duration: 2006 May 82006 May 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3981 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherICCSA 2006: International Conference on Computational Science and Its Applications
Country/TerritoryUnited Kingdom
CityGlasgow
Period06/5/806/5/11

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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