Database Architecture for Specifying and Modeling Spatio-Temporal Relations

P. 589–599.

Salibekyan, S., Panfilov, P.

The applications of systems for spatiotemporal relations representation and reasoning range from natural language processing to computer vision and robotics. Our most recent research is concerned with a problem of specifying and modeling spatiotemporal and cause-effect relations between objects in a real physical environment. We propose a method based on defining environmental database as a network (graph) model which originates from the object-attribute (OA) dataflow computing architecture and is similar to a frame knowledge representation scheme. In this paper, we propose a pseudo-physical database architecture which integrates spatiotemporal aspects of the application domain and provides support for reasoning with an OA-grammar of the graph transformation system, a proprietary calculus for spatial reasoning, and an OA-language. A prototype of the OA-DB has been implemented and used to model an application domain-Natural Language Processing. 

Ключевые слова: dataflow, database, object-attribute architecture, spatiotemporal relations representation

ПУБЛИКАЦИЯ ПОДГОТОВЛЕНА ПО РЕЗУЛЬТАТАМ ПРОЕКТА: Исследование архитектур распределенных вычислительных систем с управлением потоком данных для семантического анализа естественного языка (2014)

В книге

26th DAAAM International Symposium on Intelligent Manufacturing and Automation 2015

Vol. 1. , NY: Curran Associates, Inc., 2015.