Moon landing or safari? A study of systematic errors and their causes in geographic linked data

Krzysztof Janowicz*, Yingjie Hu, Grant McKenzie, Song Gao, Blake Regalia, Gengchen Mai, Rui Zhu, Benjamin Adams, Kerry Taylor

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    13 Citations (Scopus)

    Abstract

    While the adoption of Linked Data technologies has grown dramatically over the past few years, it has not come without its own set of growing challenges. The triplification of domain data into Linked Data has not only given rise to a leading role of places and positioning information for the dense interlinkage of data about actors, objects, and events, but also led to massive errors in the generation, transformation, and semantic annotation of data. In a global and densely interlinked graph of data, even seemingly minor error can have far reaching consequences as different datasets make statements about the same resources. In this work we present the first comprehensive study of systematic errors and their potential causes. We also discuss lessons learned and means to avoid some of the introduced pitfalls in the future.

    Original languageEnglish
    Title of host publicationGeographic Information Science - 9th International Conference, GIScience 2016, Proceedings
    EditorsDavid O’Sullivan, Nancy Wiegand, Jennifer A. Miller
    PublisherSpringer Verlag
    Pages275-290
    Number of pages16
    ISBN (Print)9783319457376
    DOIs
    Publication statusPublished - 2016
    Event9th International Conference on Geographic Information Science, GIScience 2016 - Montreal, Canada
    Duration: 27 Sept 201630 Sept 2016

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume9927 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference9th International Conference on Geographic Information Science, GIScience 2016
    Country/TerritoryCanada
    CityMontreal
    Period27/09/1630/09/16

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