Semantic conflation in GIScience: a systematic review

Conflating point of interest (POI) data: A systematic review of matching methods

“…We used three bibliography databases to search relevant papers, which are Web of Science 5 , Scopus 6 , and Google Scholar 7 . These three databases have been widely used by researchers to search for literature, and were also used in previous review articles (Biljecki & Ito, 2021;Fernandes et al, 2020;Vilches-Blázquez & Ramos, 2021). We then used keywords (including key phrases), wildcards, and boolean operators to construct queries to search through these three databases.…”

“…General geospatial data conflation may focus on combining geospatial data in different data models (e.g., vector vs. raster data models) (Chen et al, 2008;Zhang et al, 2011) or having different geometries (e.g., points, lines, and polygons) (Xavier et al 2016;Lei 2020). While there already exist good review articles on general geospatial data conflation (Hastings 2009;Ruiz et al, 2011;Xavier et al 2016;Sun et al 2019;Vilches-Blázquez and Ramos 2021), POI conflation research has its uniqueness and may benefit from its own review. POIs are typically vector data and the spatial footprints of most POI datasets are points.…”

Harmonizing Full and Partial Matching in Geospatial Conflation: A Unified Optimization Model

“…This literature is closely related to the study of ontology in GIScience. In [22], the authors systematically analyzed the issues that semantic conflation aims to solve as well as the methods, metrics, and techniques that are relevant.…”