Connections: Piloting linked data to connect library and archive resources to the new world of data, and staff to new skills Laura Akerman Metadata Librarian.

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Presentation transcript:

Connections: Piloting linked data to connect library and archive resources to the new world of data, and staff to new skills Laura Akerman Metadata Librarian Robert W. Woodruff Library Emory University Zheng (John) Wang AUL, Digital Access, Resources, and IT Hesburgh Library Notre Dame University

Who has presented most frequently at CNI?

Current Model: Search and Discover

Metadata Published as Documents

Require Human to Decipher

Linked Data Model: Find

Semantic Graph Model

Machine Understands Semantics

RDF Triple SubjectObject Predicate

RDF Triple Laura Connections Lecture

RDF Triples Laura Connections Lecture CNI Place John Know 2012 Year

Reuse, Authority Control, Knowledging Linking... Relevant to What We Do

Connections Pilot To Interlink EAD, Catalog, and Other External Resources

Connections: Context Little Time to Learn Additional New Things

Hands-on learning

Ingredients Leader/teacher/evangelist Learning group – open to all o 2 "classes" a month, 5 months. Pilot: 3 months o Brainstorming a pilot project o Start small o Team: programmer, subject liaison, metadata specialists, archivist, digital curator, fellow. o 1-3 hrs/week for all but leader o A sandbox running Linux

Maps Our Own Triplestore RDF from EAD RDF from TEI RDF from MARCXML (and MARC) Data from other archives CW150 Other data Timelines User interface Navigation DBPedia id.loc.gov Integrate linked data into discovery layer (catalog)? SPARQL Civil War Redesign metadata creation as RDF Faculty project National Park Service Data Rosters Crowdsourcing

3 months later...

Sampling little bites of the meal: Visualization – Simile Welkin EAD (starting from ArchiveHub stylesheet Sesame triplestore MARCXML (starting from LC DC stylesheet) id.loc.gov URIs for LC subjects and names (scripted) DBPedia/subjects (by hand) Make some RDF metadata

HasSubject "Mobley, Thomas"

HasSubject rdfs:resource rdfs:label ""Mobley, Thomas"

hasSubject memberOf Confederate States of America. Army. Georgia Infantry Regiment, 48th

hasSubject Mobley Tom1 memberOf 48th Georgia Infantry hasSubject sameAs DBPedia: Georgia_Volunteer_Infantry

Confederate miscellany collection, isPartOf heldBy

We learned: Selecting material that will “link up” without SPARQL, is too hard! Even when items are in a unified “discovery layer”, the types of search are limited. Get it into triples, then find out!

We learned: There are many ways of modeling data No one model to follow has emerged. We have to think about this ourselves.

ArchivesHub handles subjects: <skos:Concept xmlns:skos=" rdf:about=" "> Geary, John White, lcnaf Geary, John White,

LC's MARCXML to RDF/Dublin Core: dc:subject " Geary, John White, "

Simile MARC to MODS to RDF: Geary, John White </modsrdf:dates

Linked data is HUGE It’s coming at us FAST It’s not “cooked” yet We learned:

More learnings We learned more by doing than by "class". Making DBPedia mappings or links by hand is very time consuming! We need better tools. We need to spend a lot more time learning about OWL, and linked data modeling.

Challenges Easily available tools are not ideal! Skills we needed more of: HTML5, CSS, Javascript Time! Visualization/killer app not there yet. Can't do things without the data! No timeline if no dates!

What we got out of it Test triplestore for training and more development Better ideas on what to pilot next Convinced some doubters "Gut knowledge“ about triples, SPARQL, scale Beginning to realize how this can be so much more than a better way to provide "search"

Outside our reach for now Transform ILS system to use triple store instead of MARC Create hub of all data our researchers might want Make a bank of shared transformations for EAD, MARC, etc. Shared vocabulary mappings Social/networking aspect (e.g. Vivo, OpenSocial...) - need a culture shift?

Next? Maybe... Build user navigation? More Civil War triples including other local institutions’ stuff? Publishing plan? Integrate ILS with DBPedia links? Suite of “portal tools” for scholars? Use linked data for crowdsourcing metadata? More classes? Connect with others at Emory around linked data

Recommendation: Individual Institutions Focus on unique digital content Publish unique triples Reuse existing linked data

Recommendation: Community Create standards or best practices Grow our skills Test and evaluate tools Develop tools

Recommendation: Librarians’ Role? Interdisciplinary linking? Metadata librarians - Linking association and normalization

Acknowledgements Connections group sponsors: Lars Meyer, John Ellinger Connections Pilot team: Laura Akerman (leader), Tim Bryson, Kim Durante, Kyle Fenton, Bernardo Gomez, Elizabeth Roke, John Wang Fellows who joined us: Jong Hwan Lee, Bethany Nash Our website: Laura Akerman, John Wang,

Thanks Q&A