The document introduces linked data and microdata, emphasizing the importance of linking identifiable data to enhance sharing and collaboration across various collections. It discusses the transition from traditional data models to a graph-based model using Resource Description Framework (RDF) and triples, which describe relationships between entities. It also mentions standards for data semantics, vocabularies, and tools like SPARQL for querying RDF datasets.

1. An Introduction to Linked Data
and Microdata

2. Today We’re Linking Data!
● If something is identified, it can be linked
to, shared, talked about...
● Lets make items from our collections
linkable to items from other collections!
NYTimes
Archive.org
VIAF
DBPedia
GeoNames
YOUR DATA

3. The goal of Linked Data is
to enable people to share
structured (information) on
the Web as easily as they
share documents today.
Bizer/Cyganiak/Heath Linked Data Tutorial, linkeddata.org
Adrian Stevensen, UK Web Archives

4. Linked Data Design Issues
● URIs
● LD Design Issues
● Triples
http://www.w3.org/DesignIssues/LinkedData.

5. “The Graph” as an
Organizational Data Model
Linked Data includes a paradigm shift from the relational or
hierarchical means of modelling data to a graph based model…

6. Resource Description Format (RDF)
● RDF = defined statements comprising a
subject, a predicate (property), and an
object. These statements are called
“Triples”.

7. Triples for Humans
● Triples are statements that describe
relationships or links between things
○
The New York dc:publisher
Times Is a Publisher of News Articles
Dave (foaf:member) The Dave
Matthews Is Member of Matthews
Band

8. Triples for Machines
Triples can be serialized in many different
ways including
● Resource Description Format
● RDF/XML
● RDFa
● N3
● Turtle
● etc.
but they all describe things in the
<subject><predicate><object> format
Description Formats must be consistent and

9. Assigning Meaning to Your Data
RDF doesn't offer any means to record semantics or meaning.
LOD vocabularies and ontologies provide a framework for
determining how we organize information and how we agree on
predicates…
● RDF Schema (RDFS)
● Ontologies: FOAF, VIAF, OWL (Web Ontology Language), etc.
● Schema.org/Microdata/RDFa 1.1

10. Machine Access/Querying Your Data
SPARQL –provides a formal language with which to
ask meaning-driven questions of RDF data sets

11. Attribution and CC License
● Sections of this presentation adapted from materials
created by other participants in the LOD-LAM
Community
● This presentation available under creative commons
Non Commercial-Share Alike:
http://creativecommons.org/licenses/by-nc/2.0/