This presentation was given by Ted Lawless of Thomson Reuters during the NISO Virtual Conference, BIBFRAME & Real World Applications of Linked Bibliographic Data, held on June 15, 2016.

1. What Does A Metadata Professional Need
to Know?
Ted Lawless
NISO Virtual Conference: BIBFRAME & Real WorldApplications of Linked
Bibliographic Data – June 15, 2016

2. 2
Abstract
What does a metadata professionalhave to learn to begin working with linked
data? How does one get started?
This talk with focus on concepts, tools, and techniques necessary to begin
"doing" linked data. Workedexamples will provide the audience with concrete
ideas and resources for getting started with implementations.

3. 3
Outline
• Work through a linked data example
• Discuss concepts
• Talk about resources and tools
• Final observations

4. Where to begin?

5. 5
"Linking Open Data cloud diagram 2014, by Max Schmachtenberg, Christian
Bizer, Anja Jentzsch and Richard Cyganiak. http://lod-cloud.net/"

6. 6
Where to begin?
• Overwhelming when thinking at the scale of the Web.
• Where is the clear, immediate benefit?
• How do I get there?

7. 7
Motivation – experience with VIVO
http://vivoweb.org

8. 8
Worked Example
• Identify important sub-collection
• Match data to a central source
• Map existing data to RDF
• Publish as linked data
• Integrate
https://github.com/lawlesst/c4l16-idhub

9. 9
Collection – Web of Science™
• Web of Science Core Collection - Science Citation Index
• 8,797 journals as of 2016
• Started in Philadelphia in 1964 by Eugene Garfield
• Carefully selected and curated to include only most
important peer reviewed journals
• Evolved to include Social Sciences, Humanities,
Conference Proceedings, and Scholarly Books

10. 10
Process

11. 11
Matching to Central Source
Local ID Title ISSN
70884J Nature 0028-0836
Local ID Title ISSN Wikidata ID
70884J Nature 0028-0836 Q180445

12. 12
Results
• 8,797 journals
• 7,365 links to Wikidata
• ~84%

13. 13
CSV to RDF

14. 14
Tying it together

15. 15
Tying it together
https://jsfiddle.net/lawlesst/n5pLx38j/

16. 16
Skills and Concepts
Repurposing
existing data
• Often CSV exported
from system
SPARQL
• RDF query language Matching or
reconciliation
Ontology
modeling
Creating RDF
programmatically
Querying Web
APIs
System
configuration
Integration
• Web development
skills

17. 17
Skills and Concepts

18. 18
Repurposing existing data

19. 19
SPARQL

20. 20
Matching / Reconciliation

21. 21
Ontology mapping & RDF creation

22. 22
Publishing

23. 23
Integrating

24. 24
Skills and Concepts
Repurposing
existing data
• Often CSV exported
from system
SPARQL
• RDF query language Matching or
reconciliation
Ontology
modeling
Creating RDF
programmatically
Querying Web
APIs
System
configuration
Integration
• Web development
skills

25. 25
Resources
• Programming
– Python for Informatics
• http://www.pythonlearn.com/book.php
– Software Carpentry
• http://software-carpentry.org/
• Linked Data / Semantic Web
– Linked Data Patterns
• http://patterns.dataincubator.org/book/
– Learning SPARQL by Bob DuCharme
• http://www.learningsparql.com/
– Semantic Webfor the WorkingOntologist
• https://www.amazon.com/Semantic-Web-Working-Ontologist-
Second/dp/0123859654

26. 26
Tools
• Python
– RDFLib, csvkit, petl, fuzzywuzzy
• OpenRefine http://openrefine.org/
– Graphical, text cleaning, mapping to RDF
• Karma http://usc-isi-i2.github.io/karma/
– Graphical, ontology mapping, data integration, sophisticated.

27. 27
Tools
• VIVO as a platform
– http://vivoweb.org
– Triple store manager, ontology editor, instance editor, user accounts, Solr
searchindex of triples, Refine reconciliation endpoint.
– Try it: https://github.com/lawlesst/vivo-vagrant
• Linked Data Fragments
– http://linkeddatafragments.org
– Low cost of serving data, modern framework, query in the browser.

28. 28
Observations
• Hands on experience
• Time to experiment with new tools and techniques
• Abundance of resources and tools to learn

29. Thank you
Ted Lawless – ted.lawless@thomsonreuters.com