Geographical Process Representation

Author:

Campelo Claudio E. C.1,Bennett Brandon1

Affiliation:

1. University of Leeds, UK

Abstract

This chapter discusses the issues and challenges arising when building a general spatio-temporal ontology for representing and reasoning of geographical processes as part of a desired universal semantic reference system of geographic space. It examines the foundations and formalisms upon which the development of such an ontological model of geographical processes can be based. The chapter begins by providing a background of essential concepts related to the representation of geographical processes. Then overviews of several approaches to representing spatio-temporal processes and how to associate them with geographic space are given. Following this, the chapter discusses several open issues on the topic and presents a set of desiderata for representing and reasoning about real-world dynamic geographical phenomena. This discussion covers aspects of space, time, object, event, state, and process as the essential concepts to represent geo-processes. It also covers aspects of spatial-temporal granularity and spatio-temporal aggregation, describing how they relate to geographical processes. Finally, this chapter also explores the phenomenon of vagueness and how it affects the representation and reasoning about geo-processes. The chapter concludes by indicating directions for future research and recapitulating its overall coverage.

Publisher

IGI Global

Reference59 articles.

1. Maintaining knowledge about temporal intervals

2. Anders, K. (2003). A hierarchical graph-clustering approach to find groups of objects. Paper presented to ICA Commission on Map Generalization, 5th Workshop on Progress in Automated Map Generalization. New York, NY.

3. Qualitative spatial reasoning extracting and reasoning with spatial aggregates.;C.Bailey-Kellogg;AI Magazine,2003

4. Bennett, B. (2001a). Space, time, matter and things. In Proceedings of the International Conference on Formal Ontology in Information Systems-Volume, (pp. 105–116). ACM.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3