Serving Ireland s Geospatial as Linked Data on the Web
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1 Serving Ireland s Geospatial as Linked Data on the Web Dr. Atul Nautiyal Trinity College Dublin The ADAPT Centre is funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund.
2 What is Linked Data? The Web of Documents were created by humans for humans; the links between documents bore little meaning for machines and documents provided little structured information. Structured information can be found on the Web such as XML, CSV, etc. but, How do we link data rather than documents, and create a global database of information? Linked Data is a global initiative to publish and interlink structured (open) data on the Web using a combination of standardized technologies (HTTP, URI, RDF) such that any agent can explore the data and links that is fit for the agent (human or computer based) via a protocol and allowing one to build innovative applications.
3 Context In 2014, the Ordnance Survey Ireland (OSi) delivered a newly developed spatial data storage model known as Prime2. With Prime2, OSi moved from a traditional map-centric model towards an object-oriented model from which various types of mapping and data services can be produced. OSi furthermore aims to adopt Linked Data to enable third parties to explore and consume some of OSi's authoritative datasets. But how? Can Prime2 form the basis for that?
4 OSi Linked Data Project Goal: To lay the foundations of a semantic architecture and Linked Data platform for the OSi taking into account best practices and guidelines in the domain of geospatial information and industry and OSi s current technology stack. Starting from the boundaries dataset, which are open and already available on data.gov.ie, but not as Linked Data.
5 Requirements Analysis Requirements Analysis including stakeholder engagement with CSO and DPER: Formulation of two use case scenarios from which requirements will be distilled: Accessing the same dataset with different geometric representations, i.e., different generalizations or resolutions. Capturing the provenance and evolution of features and their geometric representations. E.g., legal statutes to change boundaries.
6 Concept Representation Features and Geometries with GeoSPARQL Necessary ontologies developed and published Information Resources vs. Non- Information Resources Provenance using Statute Instruments with PROV-O Workshops with DPER and CSO on a URI Strategy Mapping the Prime2 database to RDF with R2RML
7 Conceptual Architecture of the LD Platform
8 Implementation and Demonstrator
9 Implementation and Demonstrator Description of County Clare linking to its three representations
10 Implementation and Demonstrator Default generalization with OSi s base map. Different representations
11 Implementation and Demonstrator
12 Implementation and Demonstrator Triple Fragments Server
13 Implementation and Demonstrator Triple Fragments Client Query to list things and their labels Result of query
14 Implementation and Demonstrator SPARQL Endpoint Give list of pairs of counties that touch each other PREFIX rdfs: < PREFIX geo: < PREFIX geof: < PREFIX osi: < SELECT DISTINCT?al?cl WHERE {?a a osi:county; geo:hasgeometry?k.?k geo:aswkt?b.?a rdfs:label?al.?c a osi:county; geo:hasgeometry?l.?l geo:aswkt?d.?c rdfs:label?cl. FILTER langmatches( lang(?al), "en" ) FILTER langmatches( lang(?cl), "en" ) FILTER (?a!=?c ) FILTER ( geof:sftouches(?b,?d) ) }
15 Creation of Links with Other Datasets Adding spatial information to external datasets with OSi s authoritative information and OSi s Linked Data endpoint as an information integration hub for Ireland through locations. Queries with spatial predicates Results drawn on map
16 Team ADAPT PM OSi ADAPT THEME E and DLAB
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