Formal representation of qualitative direction

Ontology-oriented geoanalytics for determining concentration of road accidents on areas of the road network.

“…Существуют разные группы подходов к описанию пространственно-временных данных, в частности: вероятностные пространственно-временные модели представления знаний [4,5]; качественное пространственно-временное обозначение на основе конечных множеств абстракций пространственных и временных отношений с дополнительным использованием ограничений [6]. Отдельно стоит отметить использование онтологий, которое позволяет объединить качественное и количественное описание пространства и времени, делая его пригодным для решения различного рода задач в семантическом вебе [7][8][9]. При онтологическом представлении пространственно-временных знаний стоит отметить работу [10], в которой проведен глубокий анализ пространственных и временных логических отношений и сформирована алгебра их использования на основе дескрипционной логики.…”

What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning

“…Relative directions In the area of knowledge representation and reasoning, much attention has been paid to inference with relative direction information [Moratz, 2006;Lee et al, 2013;Hua et al, 2018;Freksa et al, 2018]. Existing work in this area typically assumes that the primitives, i.e., the labels of objects and the relations between objects, are given, and does not address the implicit learning of such information based on sensory stimuli from, e.g., images.…”

Block Algebra-Based Consistency Checking With Cardinal Direction Relations in 3D Space

“…As the premise of spatial cognition and reasoning, spatial direction relation describes the order relation between spatial objects, which is widely used in the field of spatial analysis and processing [1], spatial-temporal database [2], [3], [4], computer graphics [5], [6], [7] and natural language processing [8], [9], [10]. With the application of spatial direction relation, we are not satisfied with the simple description and storage of spatial direction relation, and it also requires that the spatial database system has the ability to intelligent prediction, analysis, and qualitative reasoning with directions [11], [12], [13]. The qualitative spatial reasoning problem has recently been formulated as a constraint satisfaction problem and addressed using traditional algorithms, such as path consistency [14].…”