Linked Data is People
Using Linked Data to Reshape the Library Staff Directory
Scott W. H. Young
That wants context and meaning
Who want to be understood and valued
How are people understood?
Linked Open Data
The practice of publishing structured, machine-actionable data with an open license for sharing and reuse.
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
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
New data model
Basic recommendation app
Linked Data 'Nymns
Where are our people?
Where are our concepts?
Our Ontology Model
Libraries as publishers in the Web of Data
Machine-understanding of our data = relevance
Improve findability through search engines
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.”
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