License and Template Access Control for Geospatial Linked Data

Alan Meehan, Kaniz Fatema, Rob Brennan, Éamonn Clinton, Lorraine McNerney, Declan O'Sullivan

    Research output: Contribution to journalConference articlepeer-review


    As Linked Data technologies mature geospatial data institutions are
    seeking to exploit these advantages and selectively serve their commercially
    valuable data to customers on the web. An access control solution is required to
    ensure customers are not accessing unauthorized data. In this paper we present a
    fine grained and flexible access control method for geospatial Linked Data. Our
    declarative approach provides a vocabulary to model data licenses and templates. A license models what a customer is allowed to access at a fine granularity and a template models how data is allowed to be accessed. Each template
    contains variables and the values that these variables are allowed to contain are
    specified. This provides great flexibility and allows the creation of templates for
    a range of different data access use cases. We propose an implementation architecture for our approach which proposes a license and template-based access
    control web service that sits on top of a triple store, SPARQL processor and a
    RESTful API for access. We also present a case study where a prototype implementation of our access control approach was applied to Ordnance Survey
    Ireland’s controlled access geospatial Linked Data.
    Original languageEnglish
    Pages (from-to)22-33
    JournalCEUR Workshop Proceedings
    Publication statusPublished - 2018


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