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Titlebook: GeoSpatial Semantics; First International M. Andrea Rodríguez,Isabel Cruz,Max J. Egenhofer Conference proceedings 2005 Springer-Verlag Ber

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Die Erdrinde und ihre Zusammensetzunges in a domain that require intervention, for example, an automated notification that a noteworthy event has been detected. The representation is extended to treat . that capture a variety of occurrent-based semantics, modeling both routine and unexpected occurrents as experienced, for example, by moving entities, such as vessels in a harbor.
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https://doi.org/10.1007/978-3-8349-8457-9nd cover change over time as a degree of perceived change with respect to the original landscape state. It also illustrates how changes of the categories, the classification system, over time can be analyzed using semantic similarity measures.
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https://doi.org/10.1007/978-3-642-92117-9rangement similarity based on a comparison of quadtree representations of the maps being evaluated. Empirical assessment shows that the technique produces results that agree strongly with subjective evaluations of the similarity of artificial raster databases produced by a survey of map users.
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A Qualitative Trajectory Calculus and the Composition of Its Relationsention is given to a central concept in qualitative reasoning, namely the composition of relations. The so-called composition-rule table is presented, which is a neat way of representing a composition table. The usefulness of QTC and the composition-rule table is illustrated by an example.
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Modeling Noteworthy Events in a Geospatial Domaines in a domain that require intervention, for example, an automated notification that a noteworthy event has been detected. The representation is extended to treat . that capture a variety of occurrent-based semantics, modeling both routine and unexpected occurrents as experienced, for example, by moving entities, such as vessels in a harbor.
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Using Semantic Similarity Metrics to Uncover Category and Land Cover Changend cover change over time as a degree of perceived change with respect to the original landscape state. It also illustrates how changes of the categories, the classification system, over time can be analyzed using semantic similarity measures.
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