TY - GEN
T1 - A logic of part and whole for buffered geometries
AU - Du, Heshan
AU - Alechina, Natasha
N1 - Publisher Copyright:
© 2014 The Authors and IOS Press.
PY - 2014
Y1 - 2014
N2 - We propose a new qualitative spatial logic for reasoning about part-whole relations between geometries (sets of points) represented in different geospatial datasets, in particular crowd-sourced datasets. Since geometries in crowd-sourced data can be less inaccurate or precise, we buffer geometries by a margin of error or level of tolerance σ, and define part-whole relation for buffered geometries. The relations between geometries considered in the logic are: buffered part of (BPT), Near and Far. We provide a sound and complete axiomatisation of the logic with respect to metric models, and show that its satisfiability problem is NP-complete.
AB - We propose a new qualitative spatial logic for reasoning about part-whole relations between geometries (sets of points) represented in different geospatial datasets, in particular crowd-sourced datasets. Since geometries in crowd-sourced data can be less inaccurate or precise, we buffer geometries by a margin of error or level of tolerance σ, and define part-whole relation for buffered geometries. The relations between geometries considered in the logic are: buffered part of (BPT), Near and Far. We provide a sound and complete axiomatisation of the logic with respect to metric models, and show that its satisfiability problem is NP-complete.
UR - http://www.scopus.com/inward/record.url?scp=84923203979&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-419-0-997
DO - 10.3233/978-1-61499-419-0-997
M3 - Conference contribution
AN - SCOPUS:84923203979
T3 - Frontiers in Artificial Intelligence and Applications
SP - 997
EP - 998
BT - ECAI 2014 - 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings
A2 - Schaub, Torsten
A2 - Friedrich, Gerhard
A2 - O'Sullivan, Barry
PB - IOS Press BV
T2 - 21st European Conference on Artificial Intelligence, ECAI 2014
Y2 - 18 August 2014 through 22 August 2014
ER -