This paper presents a rule-based query language for an object-oriented database model. The database model supports complex objects, object identity, classes and types, and a class / type hierarchy. The instances are described by \object relations" which are functions from a set of objects to value sets and other object sets. The rule language is based on object-terms which provide access to obj...

ABSTRACT There is inevitably error or uncertainty in spatial data, which are used to represent reality world, it will causes a suspicion for correctness of topological relations obtained by reasoning from observation data. In this paper, we firstly describe the geometric and statistical properties of areal object, and analyzing the effects of positional uncertainty on representation of topologi...

knowledge about object classes Object instances and component hierarchy Poses in the environment and their changes over time Related: TBOX/SBOX, Galindo et al (RAS 2008) Semantic map representation Abstract knowledge about object classesknowledge about object classes Object instances and component hierarchy Poses in the environment and their changes over time Spatio-temporal object representati...

This paper deals with the problem of learning unknown edges with attributes in a partially-given multigraph. The method is an extension of Maximum Margin Multi-Valued Regression (MVM) to the case where those edges are characterized by different attributes. It is applied on a large-scale problem where an agent tries to learn unknown object-object relations by exploiting known such relations. The...

How can we describe the relations between objects in a picture? As recent deep neural networks have exhibited impressive performance in identifying individual entities in a picture, in this study we turn our attention to recognize inter-object relations. To recognize open-domain relations, (a) we propose collecting relational concepts automatically from an image-text corpus. In addition, using ...