This workflow provides interactive means of querying uncertain GIS models semantically and provides visual feedback.
"In cases of complex searches when even the user is uncertain about the initial query and types something in hopes to get closer to the relevant information, it is unlikely that the search engine would be able to offer a perfect result at first iteration.
Due to the pervasive data uncertainty in many real applications, efficient and effective query answering on uncertain data has recently gained much attention from the database community.
Specifically, a PGSS query retrieves those uncertain objects that are, with high confidence, not dynamically dominated by other objects, with respect to a group of query points in ad-hoc subspaces.
An uncertain R-tree is designed with two query filtering schemes, UR1 and UR2, for the special case when the query is certain.
This uneven distribution of patient-related information leaves nurses unable to answer the patients' queries and doctors are uncertain of the patient's level of understanding; this, in turn, affects patient safety and satisfaction.
In this paper, we propose a novel and important query in the context of uncertain databases, namely probabilistic group subspace skyline (PGSS) query, which is useful in applications like sensor data analysis.
And Australia's tax office is employing SAS tools to sort queries from taxpayers who are uncertain whether the rules apply to them or not.
In this paper, we study CKNN queries over moving objects with uncertain velocity in road networks.
This tool includes (i) a MAP simulation module combining mass transfer models and respiration of the food, (ii) a multi-criteria flexible querying module which handles imprecise, uncertain and missing data stored in the database.
