Qualitative representation of spatio-temporal knowledge. (December 2018)

• Record Type: Journal Article
• Authors: Della Penna, Giuseppe; Orefice, Sergio
• Is Part Of: Journal of visual languages & computing. Volume 49(2018)
• Page Start: 1
• Page End: 16
• Publication Date: 2018-12
• Subjects: Spatio-temporal knowledge -- Qualitative spatial relations -- Graphical objects; Visual programming languages (Computer science) -- Periodicals; Visual programming (Computer science) -- Periodicals; Programming languages (Electronic computers) -- Semantics -- Periodicals; Langages de programmation visuelle -- Périodiques; Programmation visuelle -- Périodiques; Langages de programmation -- Sémantique -- Périodiques; Programming languages (Electronic computers) -- Semantics; Visual programming (Computer science); Visual programming languages (Computer science); Periodicals; Electronic journals; 005
• DOI: 10.1016/j.jvlc.2018.10.002
• Languages: English
• ISSNs: 1045-926X

Abstract

Abstract: In this paper we present PCT ( Position-Connection-Time ), a formalism capable of representing spatio-temporal knowledge in a qualitative fashion. This framework achieves an expressive power comparable to other classic spatial relation formalisms describing common topological and directional spatial relations. In addition, PCT introduces new classes of relations based both on the position of the objects and on their interconnections, and incorporates the notion of time within spatial relations in order to describe dynamic contexts. In this way, PCT is also able to model spatial arrangements that change over time, e.g., moving objects.