This document discusses linked open data and publishing government data as linked open data. It provides an overview of linked open data principles and standards like URIs, RDF, and SPARQL. It also shares lessons learned from linked open data implementations by governments worldwide and the benefits of exposing data to larger audiences through linked open data. Key challenges include selecting appropriate ontologies and establishing links between data from different sources and domains.
9. HTTP URL and URL
• HTTP URIs, in the web
architecture, have been used to
denote documents -- "web pages"
informally, or "information
resources" more formally.
• However, with the growth of the
Semantic Web, which uses URIs to
denote anything at all, the urge to
use and practice of using HTTP
URIs for arbitrary things grew
steadily.
https://www.w3.org/DesignIssues/HTTP-URI.html
16. URI
URI
(Linked Open Data, LOD)
!!
Resource URI: http://www.epa.gov.tw/resource/Taiepi_Weather_Station
Taiepi_Weather_Station
Resource URI: http://lod.tw/resource/Taiepi_City
30. 90
0 5 10 15 20 25 30 35 40 45
USA
Spain
UK
The Netherlands
Norway
Canada
Australia
France
Germany
Italy
Switzerland
Austria
Czech Republic
Hungary
Ireland
Japan
Malaysia
Portugal
Singapore
Sweden
Linked Data Survey Respondents
Karen Smith-Yoshimura (2015) Linked Data Implementations— Who, What and Why?, OCLC Research
32. 2015
Steep learning curve for staff
40
Inconsistency in legacy data
33
Selecting appropriate ontologies to represent our data
31
Establishing the links
27
Little documentation or advice on how to build the systems
21
Karen Smith-Yoshimura (2015) Linked Data Implementations— Who, What and Why?, OCLC Research
33. ?
2015 2014
Expose to larger audience on the Web
67 45
Demonstrate what could be done with datasets as linked
data
59 41
Heard about linked data and wanted to try it out by
exposing our data as linked data.
43 21
See if publishing linked data would improve our Search
Engine Optimization (SEO.)
29 9
Karen Smith-Yoshimura (2015) Linked Data Implementations— Who, What and Why?, OCLC Research
34. ?
2015 2014
Provide our users with a richer experience.
51 35
Enhance our own data by consuming linked data from other
sources.
50 37
More effective internal metadata management.
32 16
Greater accuracy and scope in our search results
27 12
See if consuming linked data would improve our Search Engine
Optimization (SEO).
19 12
Experiment with combining different types of data into a single
triple store.
17 15
Heard about linked data and wanted to try it out by using linked
data sources.
17 13
35. 2015
VIAF (Virtual International Authority File) 41
DBpedia 36
GeoNames 35
id.loc.gov 35
Resources we convert to linked data ourselves 17
Getty's AAT 16
FAST (Faceted Application of Subject Terminology) 15
WorldCat.org 15
data.bnf.fr 12
Deutsche National Bib Linked Data Service 12
Karen Smith-Yoshimura (2015) Linked Data Implementations— Who, What and Why?, OCLC Research