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Deeply Semantic Inductive Spatio-Temporal Learning
Human-Centred Cognitive Assistance, University of Bremen, Germany.
Human-Centred Cognitive Assistance, University of Bremen, Germany. (AASS)ORCID iD: 0000-0002-6290-5492
DesignSpace Group, University of Münster, Germany.
2016 (English)In: Proceedings of the 26th International Conference on Inductive Logic Programming, CEUR-WS , 2016, p. 73-80Conference paper, Published paper (Refereed)
Abstract [en]

We present an inductive spatio-temporal learning framework rooted ininductive logic programming. With an emphasis on visuo-spatial language, logic,and cognition, the framework supports learning with relational spatio-temporalfeatures identifiable in a range of domains involving the processing and interpre-tation of dynamic visuo-spatial imagery. We present a prototypical system, andan example application in the domain of computing for visual arts and computa-tional cognitive science.

Place, publisher, year, edition, pages
CEUR-WS , 2016. p. 73-80
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; Vol. 1865
Keywords [en]
Spatio-Temporal Learning; Dynamic Visuo-Spatial Imagery; Declar-ative Spatial Reasoning; Inductive Logic Programming; AI and Art
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-63599Scopus ID: 2-s2.0-85025121977OAI: oai:DiVA.org:oru-63599DiVA, id: diva2:1168916
Conference
26th International Conference on Inductive Logic Programming (Short papers)(ILP 2016), London, UK, September 4-6, 2016
Available from: 2017-12-21 Created: 2017-12-21 Last updated: 2018-01-13Bibliographically approved

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Bhatt, Mehul

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