IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Semantic Web Rule Languages for Geospatial Ontologies

Semantic Web Rule Languages for Geospatial Ontologies
View Sample PDF
Author(s): Philip D. Smart (Cardiff University and University of Glamorgan, UK), Alia Abdelmoty (Cardiff University and University of Glamorgan, UK)and Baher A. El-Geresy (Cardiff University and University of Glamorgan, UK)
Copyright: 2009
Pages: 21
Source title: Handbook of Research on Emerging Rule-Based Languages and Technologies: Open Solutions and Approaches
Source Author(s)/Editor(s): Adrian Giurca (Brandenburg Technology University at Cottbus, Germany), Dragan Gasevic (Athabasca University, Canada)and Kuldar Taveter (University of Melbourne, Australia)
DOI: 10.4018/978-1-60566-402-6.ch007

Purchase

View Semantic Web Rule Languages for Geospatial Ontologies on the publisher's website for pricing and purchasing information.

Abstract

Geospatial ontologies have a key role to play in the development of the geospatial-Semantic Web, with regard to facilitating the search for geographical information and resources. They normally hold large volumes of geographic information and undergo a continuous process of revision and update. Limitations of the OWL ontology representation language for supporting geospatial domains are discussed and an integrated rule and ontology language is recognized as needed to support the representation and reasoning requirements in this domain. A survey of the current approaches to integrating ontologies and rules is presented and a new framework is proposed that is based on and extends Description Logic Programs. A hybrid representational approach is adopted where the logical component of the framework is used to represent geographical concepts and spatial rules and an external computational geometry processor is used for storing and manipulating the associated geometric data. A sample application is used to demonstrate the proposed language and engine and how they address the identified challenges.

Related Content

Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Rafal A Angryk. © 2019. 19 pages.
Zhen Hua Liu. © 2019. 25 pages.
Lubna Irshad, Zongmin Ma, Li Yan. © 2019. 25 pages.
Hao Jiang, Ahmed Bouabdallah. © 2019. 22 pages.
Gbéboumé Crédo Charles Adjallah-Kondo, Zongmin Ma. © 2019. 22 pages.
Safa Brahmia, Zouhaier Brahmia, Fabio Grandi, Rafik Bouaziz. © 2019. 20 pages.
Zhangbing Hu, Li Yan. © 2019. 20 pages.
Body Bottom