A Process-Centric Ontological Approach for Integrating Geo-Sensor Data

Authors:
Anusuriya Devaraju;Werner Kuhn
Affiliations:
Institute for Geoinformatics, University of Muenster, anusuriya.devaraju@uni-muenster.de, kuhn@uni-muenster.de;Institute for Geoinformatics, University of Muenster, anusuriya.devaraju@uni-muenster.de, kuhn@uni-muenster.de
Venue:
Proceedings of the 2010 conference on Formal Ontology in Information Systems: Proceedings of the Sixth International Conference (FOIS 2010)
Year:
2010

Citing 9
Cited 4

Towards a general theory of action and time

Artificial Intelligence
Semantic integration of environmental models for application to global information systems and decision-making

ACM SIGMOD Record
A unifying semantics for time and events

Artificial Intelligence - Special issue on logical formalizations and commonsense reasoning
Experience and History

Journal of Logic and Computation
An integrated system for publishing environmental observations data

Environmental Modelling & Software
A spatio-temporal ontology for geographic information integration

International Journal of Geographical Information Science
Spatial relations between classes of individuals

COSIT'05 Proceedings of the 2005 international conference on Spatial Information Theory
Geospatial semantics: why, of what, and how?

Journal on Data Semantics III
Processes and events in dynamic geo-networks

GeoS'05 Proceedings of the First international conference on GeoSpatial Semantics

Identifying geographical processes from time-stamped data

GeoS'11 Proceedings of the 4th international conference on GeoSpatial semantics
An ontological approach to focusing attention and enhancing machine perception on the Web

Applied Ontology
An ontological approach to focusing attention and enhancing machine perception on the Web

Applied Ontology
An efficient bit vector approach to semantics-based machine perception in resource-constrained devices

ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

We introduce a process-centric ontological approach to relate observed properties to geo-processes that influence those observations. These relations are used to handle semantic heterogeneities that impede the integration of geo-sensor data. Our approach comprises a process-centric hydrology ontology and its alignment with the DOLCE foundational ontology. We describe how DOLCE assists in classifying two hydrological processes and their participating entities. Our preliminary results indicate that the process-centric ontological approach can be used to resolve process and property naming ambiguity within a domain. We consider this as a first step toward a process-centric semantic integration of geo-sensor data.