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Monotonicity, based on the partial order defined by the ‘is a subset of’ relation, is a well understood property of queries. For nested relations, other partial orders leading to different notions of monotonicity are possible. Monotonicity can be used for simple negative comparison of the expressive power of two languages by showing that one is monotone and the other is not. Using this approach we...
Spatial information in autonomous robot tasks is uncertain due to measurement errors, the dynamic nature of the world, and an incompletely known environment. We present a probabilistic spatial data model capable of describing relevant spatial data, such as object location, shape, composition, and other parameters, in the presence of uncertainty. Uncertain spatial information is modeled through continuous...
Advanced database applications demand new data modeling constructs beyond those available in relational databases. These include both new data structures, e.g. arrays and quadtrees, and an integration with the object-oriented programming paradigm. Declarative object-oriented languages transfer the burden of choosing an efficient execution plan to the database query optimizer. The lack of a generally...
Future multicomputer systems are expected to consist of thousands of interconnected computers. To simplify the usage of these systems, multicomputer operating systems must be developed to integrate a cluster of computers into a unified and coherent environment. Using existing multicomputer operating systems is inappropriate as many commonly used techniques get clogged and lead to congestion, once...
Spatial information in autonomous robot tasks is uncertain due to measurement errors, the dynamic nature of the world, and an incompletely known environment. We present a probabilistic spatial data model capable of describing relevant spatial data, such as object location, shape, composition, and other parameters, in the presence of uncertainty. Uncertain spatial information is modeled through continuous...
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