QQESPM: A Quantitative and Qualitative Spatial Pattern Matching Algorithm
arXiv:2312.08992
Abstract
The Spatial Pattern Matching (SPM) query allows for the retrieval of Points of Interest (POIs) based on spatial patterns defined by keywords and distance criteria. However, it does not consider the connectivity between POIs. In this study, we introduce the Qualitative and Quantitative Spatial Pattern Matching (QQ-SPM) query, an extension of the SPM query that incorporates qualitative connectivity constraints. To answer the proposed query type, we propose the QQESPM algorithm, which adapts the state-of-the-art ESPM algorithm to handle connectivity constraints. Performance tests comparing QQESPM to a baseline approach demonstrate QQESPM's superiority in addressing the proposed query type.
DBLP Entry: https://dblp.org/rec/conf/geoinfo/MinervinoCOS23.html Conference Repository: http://urlib.net/ibi/8JMKD3MGPDW34P/4ADBK2H Accepted for the Brazilian Symposium on Geoinformatics (GEOINFO 2023)