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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