You can view the full text of this article for free using the link below.

Title: A qualitative inference method for prediction of geographic process using spatial and temporal relations

Authors: G. Jayanthi; V. Uma

Addresses: Department of Computer Science, School of Engineering and Technology, Pondicherry University, Puducherry – 605 014, India ' Department of Computer Science, School of Engineering and Technology, Pondicherry University, Puducherry – 605 014, India

Abstract: Knowledge engineering is the systematic self-disciplined set of activities involved in design and development of knowledge-based systems. Abstraction of the real world into codified information is the objective of knowledge representation (KR). The survey of various works of researchers in the domain of spatio-temporal knowledge representation for reasoning real world actions in geographic applications is presented. Geographic event attributed spatial entity (GEASE) knowledge-base that will aid in reasoning events causing the spatial change in geographic features over the period of time is proposed. GEASE knowledge-base describing a spatial entity by considering the temporal event as an attribute is constructed to infer events that cause geographical changes. As a result, the significance of the proposed knowledgebase is illustrated by evaluating event based queries on synthetic dataset. Finally, we conclude the work with direction to enhance the logical formulation for its implementation on real datasets in future.

Keywords: knowledge representation; spatio-temporal reasoning; geographic information system; GIS; events; processes; prediction.

DOI: 10.1504/IJAISC.2017.10005154

International Journal of Artificial Intelligence and Soft Computing, 2017 Vol.6 No.1, pp.1 - 23

Received: 27 Dec 2015
Accepted: 04 Jul 2016

Published online: 21 May 2017 *

Full-text access for editors Access for subscribers Free access Comment on this article