@inproceedings{3194023,
    title = "Progressive, Holistic Geospatial Interlinking",
    author = "Papadakis, George and Mandilaras, Georgios and Mamoulis, Nikos and and Koubarakis, Manolis",
    year = "2021",
    pages = "833-844",
    publisher = "ASSOCIATION FOR COMPUTING MACHINERY",
    booktitle = "PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2021 (WWW 2021)",
    doi = "10.1145/3442381.3449850",
    keywords = "Geospatial Interlinking; DE-9IM Relations; Progressive Processing",
    abstract = "Geospatial data constitute a considerable part of Semantic Web data, but
at the moment, its sources are inadequately interlinked with topological
relations in the Linked Open Data cloud. Geospatial Interlinking covers
this gap with batch techniques that are restricted to individual
topological relations, even though most operations are common for all
main relations. In this work, we introduce a batch algorithm that
simultaneously computes all topological relations and define the task of
Progressive Geospatial Interlinking, which produces results in a
pay-as-you-go manner when the available computational or temporal
resources are limited. We propose two progressive algorithms and conduct
a thorough experimental study over large, real datasets, demonstrating
the superiority of our techniques over the current state-of-the-art."
}