To ontologise or not to ontologise: An information model for a geospatial knowledge infrastructure

作者: Kristin Stock , Tim Stojanovic , Femke Reitsma , Yang Ou , Mohamed Bishr

DOI: 10.1016/J.CAGEO.2011.10.021

关键词:

摘要: A geospatial knowledge infrastructure consists of a set interoperable components, including software, information, hardware, procedures and standards, that work together to support advanced discovery creation geoscientific resources, publications, data sets web services. The focus the presented is development such an for resource discovery. Advanced intended scientists in finding resources meet their needs, focuses on representing semantic details scientific detailed aspects science led being created. This paper describes information model uses ontologies represent these details, about domain concepts, elements (analysis methods, theories processes) can be used enable more intelligent search over new ways infer visualise knowledge. requirements infrastructure, analyses different options storage based twin goals richness syntactic interoperability allow communication between infrastructures. Such achieved by use open architecture adopts particularly from community. then range types ontologies, explaining those content. was successfully implemented working but evaluation identified some issues creating ontologies.

参考文章(17)
Femke Reitsma, Yi Qiang, Boyan Brodaric, SKIing with DOLCE: toward an e-Science Knowledge Infrastructure formal ontology in information systems. ,vol. 183, pp. 208- 219 ,(2008)
Savas Parastatidis, A platform for all that we know: creating a knowledge-driven research infrastructure. The Fourth Paradigm. pp. 165- 172 ,(2009)
Kristin Stock, Claudia Cialone, An approach to the management of multiple aligned multilingual ontologies for a geospatial earth observation system GeoS'11 Proceedings of the 4th international conference on GeoSpatial semantics. pp. 52- 69 ,(2011) , 10.1007/978-3-642-20630-6_4
Alexander Hars, Designing Scientific Knowledge Infrastructures: The Contribution of Epistemology Information Systems Frontiers. ,vol. 3, pp. 63- 73 ,(2001) , 10.1023/A:1011401704862
Peter Fox, Deborah L. McGuinness, Luca Cinquini, Patrick West, Jose Garcia, James L. Benedict, Don Middleton, Ontology-supported scientific data frameworks: The Virtual Solar-Terrestrial Observatory experience Computers & Geosciences. ,vol. 35, pp. 724- 738 ,(2009) , 10.1016/J.CAGEO.2007.12.019
William Pike, Mark Gahegan, Beyond ontologies: Toward situated representations of scientific knowledge International Journal of Human-computer Studies \/ International Journal of Man-machine Studies. ,vol. 65, pp. 674- 688 ,(2007) , 10.1016/J.IJHCS.2007.03.002
Clara Mancini, Simon J. Buckingham Shum, Modelling discourse in contested domains: a semiotic and cognitive framework International Journal of Human-computer Studies \/ International Journal of Man-machine Studies. ,vol. 64, pp. 1154- 1171 ,(2006) , 10.1016/J.IJHCS.2006.07.002
Michael Piasecki, Bora Beran, A semantic annotation tool for hydrologic sciences Earth Science Informatics. ,vol. 2, pp. 157- 168 ,(2009) , 10.1007/S12145-009-0031-X
Mark Gahegan, Junyan Luo, Stephen D. Weaver, William Pike, Tawan Banchuen, Connecting GEON: Making sense of the myriad resources, researchers and concepts that comprise a geoscience cyberinfrastructure Computers & Geosciences. ,vol. 35, pp. 836- 854 ,(2009) , 10.1016/J.CAGEO.2008.09.006