By Sumit Sen (auth.), Frederico Fonseca, M. Andrea Rodríguez, Sergei Levashkin (eds.)
This e-book constitutes the refereed lawsuits of the second one foreign convention on GeoSpatial Semantics, GeoS 2007, held in Mexico urban, Mexico in November 2007.The 15 revised complete papers offered including four revised brief papers have been conscientiously reviewed and chosen from 35 submissions. The papers are geared up in topical sections on versions and languages for geo-ontologies, alignment and integration of geo-ontologies, ontology-based spatial details retrieval, formal illustration for geospatial information, and integration of semantics into spatial question processing.
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Additional resources for GeoSpatial Semantics: Second International Conference, GeoS 2007, Mexico City, Mexico, November 29-30, 2007. Proceedings
The two-dimensional grounding layer is then related to two diﬀerent data layers, which share a deﬁnition of linear, but have diﬀerent deﬁnitions of the highly context-sensitive term small. The formulae in Figure 2 are intended solely to be illustrative: clearly, a genuine attempt at an appropriate ontology requires much more detail. Note, however, how the threshold parameters for vague predicates are passed down through the layers. This division into three layers is, we claim, a natural one. As we noted above, the applicability of certain high-level concepts may depend on the context or perspective in which they are interpreted, and it may be possible, or common, to interpret the same concepts as applying to diﬀerent kinds of data.
For example, a grounding layer for a geographic ontology may take the high-level, vague deﬁnition of a river as, say, a large narrow stretch of water, and ﬂesh out the idea of stretch with reference to the “linear” features of the two-dimensional geometry of a water network viewed from above. Diﬀerent grounding layers can be given for the same general layer, depending on the kind of data one has in mind. Clearly, the detailed deﬁnition of a stretch of water in terms of two-dimensional data will not be suﬃcient to ground the deﬁnition of a river in a set of data incorporating three-dimensional topographic and bathymetric information.
We refer to such a collection as an ontology of that domain. One of the purposes of encoding an ontology is to assist the integration of heterogenous data sources and to enable the automatic handling of queries and reasoning tasks with regard to the natural high-level concepts associated with the domain in question. Such tasks may involve the relationships between the concepts themselves, or the application of those concepts to actual data gathered by domain experts. In order to integrate diﬀerent data sources, it is necessary to relate the terms deﬁned in an ontology to data objects and their attributes.
GeoSpatial Semantics: Second International Conference, GeoS 2007, Mexico City, Mexico, November 29-30, 2007. Proceedings by Sumit Sen (auth.), Frederico Fonseca, M. Andrea Rodríguez, Sergei Levashkin (eds.)