Linked Data is People
Using Linked Data to Reshape the Library Staff Directory
#AccessYYC
Jason Clark
@jaclark
Scott W. H. Young
@hei_scott
Data
That wants context and meaning
People
Who want to be understood and valued
How are people understood?
By humans
By machines
Linked Open Data
The practice of publishing structured, machine-actionable data with an open license for sharing and reuse.
LOD Goals
Create distributed flexible data systems
Add context and dimension to data
Demonstrate relationships based on
standardized and reusable vocabulary
Because networked data is smarter data
Five-star LOD
http://5stardata.info/
Our Project
Applying the concepts of linked data
for our local library community
Finding a real-world use-case for graph modeling using web-ready open source tools
How can our people be better
discovered and understood?
Open source dev stack
RDF
SQL
PHP
D3.js
Project Goals
New data model
New UI
Network visualization
Basic recommendation app
SEO Results
Five-star LOD
Linked Data 'Nymns
RDF
OWL
SPARQL
SKOS
FOAF
LCSH
VIAF
DC
DBO
schema.org
Where are our people?
Where are our concepts?
Our Ontology Model
Why schema.org
Libraries as publishers in the Web of Data
Machine-understanding of our data = relevance
Improve findability through search engines
Semantic Markup
HTML5 semantic tags and schema.org vocabularies that help classify page types and identify content on the page
“If Google understands the content on your pages, we can create rich snippets—detailed information intended to help users with specific queries.”
https://support.google.com/webmasters/answer/99170?hl=en&ref_topic=1088472
Results
SEO
New UI
Vizualization
Five-star LOD
www.lib.montana.edu/people
Visualizations
What's Next?
MSU Library Research Team
Scott Young: Digital Initiatives Librarian, @hei_scott
Jason Clark: Head of Library Informatics and Computing, @jaclark
Patrick O’Brien: Semantic Web Research Director
Kenning Arlitsch: Dean of the Library, @kenning_msu
Doralyn Rossmann: Head of Collection Development, @doralyn
