Two Types of Hierarchies in Geospatial Ontologies

Heuristics for Constructing Bayesian Network Based Geospatial Ontologies

On the Move to Meaningful Internet Systems 2007: CoopIS, DOA, ODBASE, GADA, and IS - Lecture Notes in Computer Science ◽

10.1007/978-3-540-76848-7_63 ◽

2007 ◽

pp. 953-970 ◽

Cited By ~ 1

Author(s):

Sumit Sen ◽

Antonio Krüger

Keyword(s):

Bayesian Network ◽

Geospatial Ontologies

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Semantic Web Rule Languages for Geospatial Ontologies

Web Technologies ◽

10.4018/978-1-60566-982-3.ch035 ◽

2011 ◽

pp. 648-669

Author(s):

Philip D. Smart ◽

Alia I. Abdelmoty ◽

Baher A. El-Geresy ◽

Christopher B. Jones

Keyword(s):

Semantic Web ◽

Description Logic ◽

Continuous Process ◽

Geographical Information ◽

Ontology Language ◽

Rule Languages ◽

Sample Application ◽

Representation Language ◽

Representational Approach ◽

Geospatial Ontologies

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.

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Semantic Web Rule Languages for Geospatial Ontologies

Handbook of Research on Emerging Rule-Based Languages and Technologies ◽

10.4018/978-1-60566-402-6.ch007 ◽

2010 ◽

pp. 149-169

Author(s):

Philip D. Smart ◽

Alia Abdelmoty ◽

Baher A. El-Geresy

Keyword(s):

Semantic Web ◽

Description Logic ◽

Continuous Process ◽

Geographical Information ◽

Ontology Language ◽

Rule Languages ◽

Sample Application ◽

Representation Language ◽

Representational Approach ◽

Geospatial Ontologies

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.

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Do geospatial ontologies perpetuate Indigenous assimilation?

Progress in Human Geography ◽

10.1177/0309132518824646 ◽

2019 ◽

Vol 44 (2) ◽

pp. 216-234 ◽

Cited By ~ 5

Author(s):

Geneviève Reid ◽

Renée Sieber

Keyword(s):

Natural Language Processing ◽

Natural Language ◽

Indigenous Knowledge ◽

Indigenous People ◽

Indigenous Peoples ◽

Language Processing ◽

Geospatial Technologies ◽

Alternative Approaches ◽

Process Attribute ◽

Geospatial Ontologies

Research on geospatial ontologies focuses on achieving interoperability by creating universal standards applied to data. We argue that universality through ontologies can potentially perpetuate homogenization of concepts, thus contributing to assimilation of Indigenous peoples. We cover the ways the conventional geospatial ontologies enable dichotomies between mental and physical concepts, reduce concepts during the classification process, attribute agency, and privilege ontological class over relationships. We further argue that the geospatial web and natural language processing should be inclusive of Indigenous people to ensure future access to geospatial technologies and to prevent further loss of Indigenous knowledge. We explore alternative approaches to universality such as hermeneutics and heuristics. These offer the potential for Indigenous geospatial ontologies considered as equal, instead of being reduced to fit within western concepts.

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