Michail Vaitis

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A spatial preference query ranks objects based on the qualities of features in their spatial neighborhood. For example, consider a real estate agency office that holds a database with available flats for lease. A customer may want to rank the flats with respect to the appropriateness of their location, defined after aggregating the qualities of other(More)
A spatial preference query ranks objects based on the qualities of features in their spatial neighborhood. For example, using a real estate agency database of flats for lease, a customer may want to rank the flats with respect to the appropriateness of their location, defined after aggregating the qualities of other features (e.g., restaurants, cafes,(More)
We study the problem of answering spatial queries in databases where objects exist with some uncertainty and they are associated with an existential probability. The goal of a thresholding probabilistic spatial query is to retrieve the objects that qualify the spatial predicates with probability that exceeds a threshold. Accordingly, a ranking probabilistic(More)
We study the problem of answering spatial queries in databases where objects exist with some uncertainty and they are associated with an existential probability. The goal of a thresholding probabilistic spatial query is to retrieve the objects that qualify the spatial predicates with probability that exceeds a threshold. Accordingly, a ranking probabilistic(More)
Behaviors play an important role to relationship semantics. In this paper, we present how behavioral aspects of structures are conceived in Callimachus, a structural computing environment. Callimachus supports the definition of behavioral designs called propagation templates that assist in addressing behavioral concerns of structures within structure(More)
The emergence of Component-Based Open Hypermedia Systems aims at the releasing of Hypermedia and Web applications from the monocracy of link as an information structuring primitive. Instead, an open set of structure services, each one providing structure abstractions relevant to a specific domain, are offered to an open set of client applications.(More)
Knowing plant volatile chemodiversity and its distribution is essential in order to study biological processes, to estimate the plants' value in use, and to establish sustainable exploitation practices. Yet, attempts to collect and assess data on scent diversity and properties in well-defined geographical areas are rare. Here, we developed a geo-referenced(More)