Remodeling the Getty Provenance Index as Linked Open Data

Slides:



Advertisements
Similar presentations
Metadata and Search at Boeing Julie Martin Library & Learning Center Services
Advertisements

Regnet Specification : Functional point of view REGNET.
CollectionSpace is an open-source, web- based software application for the description, management, and dissemination of museum collections information.
Catherine Worrall Slide Library Co-ordinator, University College Falmouth.
A REST-ful Web Services Approach to Library Federated Search using SRU Kevin Reiss Rutgers-Newark Law Library CALI 2005 – June 11th.
Using Reference Sources Fleet RISD. Why Use Reference Sources? Reference Sources provide an overview of a subject at the beginning of the research.
Publishing exhibitions using KE EMu 4 October 2005 Julian Tomlin Head of Administration.
Iowa Code and Rules Easy Navigation and Search Scope Analysis &Planning Phases Completed Request for Execution Funding.
Image Access in the Arts and Beyond: Implementing Shared Shelf at IUB Campus Emilee Mathews Erin McCall April 10, 2013 #dlbbspring2013.
8/28/97Information Organization and Retrieval Metadata and Data Structures University of California, Berkeley School of Information Management and Systems.
Besser--Dublin Core Metadata 2/14/02 1 Dublin Core Metadata Howard Besser UCLA School of Education & Information
Using Metadata in CONTENTdm Diana Brooking and Allen Maberry Metadata Implementation Group, Univ. of Washington Crossing Organizational Boundaries Oct.
Kristin Eberle Monica Hampton Carmen Velasquez Kristin Eberle Monica Hampton Carmen Velasquez Knowledge Management.
Copyright © 2002 Pearson Education, Inc.
Cornell Institute for Digital Collections Metadata and Cross-Collection Searching in Luna’s Insight.
Visualizing Art History Doron Goldfarb Electronic Commerce Group VSEM – The Virtual 3D Social Experience Museum Institute of Software.
Agile Development of the Open Source Software based Online Service FINNA Aki Lassila Head of Development National Library of Finland.
Romain Wenz- BnF-DIBN – SWIB 2010 November The data.bnf.fr project describing resources of the French National Library.
Online Resources From Oxford University Press This presentation gives a brief description of the Benezit Dictionary of Artists It tells you what the.
Practical approaches to standardizing vocabularies: the Cultural Heritage experience. Phil Carlisle English Heritage National Monuments Record and European.
The FCLA Endeca Project By Michele Newberry. M.Newberry2 Why ENDECA?  Already proven by NCSU  Build on NCSU’s work instead of starting from zero  Product.
Resource Sharing Development and Challenge in Academic Libraries: the Case Study of CALIS Yao XiaoXia CALIS Administrative Center , PUL , shanghai.
Marty Harris aka TEXT QUERY SYSTEM Marty Harris Mgr TRD.
Metadata for Visual Resources Jenn Riley Head, Carolina Digital Library and Archives The University of North Carolina at Chapel Hill.
Archival description and linked data: Opportunities and implementation challenges Karen F. Gracy, Ph.D., Kent State University The Metadata Vocabulary.
8/28/97Organization of Information in Collections Introduction to Description: Dublin Core and History University of California, Berkeley School of Information.
Metadata: An Overview Katie Dunn Technology & Metadata Librarian
METADATA VALUE SPACE Almost all metadata standards require or recommend the use of controlled vocabularies for some elements.
The FCLA Endeca Project By Michele Newberry. M.Newberry2 Current OPAC environment  Aleph 500 v.15.5  Heavily customized to reflect pre- implementation.
NORTH CAROLINA ARCHITECTS & BUILDERS: A BIOGRAPHICAL DICTIONARY Catherine W. Bishir Joseph Ryan Markus Wust June 16, 2009.
Metadata: Essential Standards for Management of Digital Libraries ALI Digital Library Workshop Linda Cantara, Metadata Librarian Indiana University, Bloomington.
Producción de Sistemas de Información Agosto-Diciembre 2007 Sesión # 8.
© 2012 IBM Corporation Best Practices for Publishing RDF Vocabularies Arthur Ryman,
SnapDragon Collection Management Shareable Metadata for Images Elisa Lanzi Smith College Imaging Center.
MTA SZTAKI Department of Distributed Systems The problems of persistent identifiers in the context of the National Digital Data Archives of Hungary András.
Metadata and Documentation Iain Wallace Performing Arts Data Service.
Giving Credit Where Credit Is Due Objective: Students will be able to collect the appropriate information to give credit to the creator of a source.
Integrating Access to Digital Content Sarah Shreeves University of Illinois at Urbana-Champaign Visual Resources Association 23 rd Annual Conference Miami.
The OhioLINK Library System Ohio Library and Information Network.
Library Updates August 22, Agenda UCB/LBNL partnership Journal access Other possible services Reports Submission System Cataloging Update Online.
Metadata “Data about data” Describes various aspects of a digital file or group of files Identifies the parts of a digital object and documents their content,
Appropriate representation of the resource through metadata Metadata as a view of the resource Standards promote interoperability Appropriate formats Appropriate.
How Linked Open Data helps Museums Collaborate, Reach New Audiences, and Improve Access to art Information Eleanor E. Fink Manager, American Art Collaborative.
Tiziana // Alessandra Lenzi - MG Breaking down the walls Project Museo Galileo and the Linked Open Data A joint project between.
Renovation of Eurostat dissemination chain
Image Discovery & Access ACRL Image Resources Interest Group ALA Annual, Saturday, June 26, 2010 Nicole Finzer, Visual Resources Librarian, Digital Collections,
8/28/97Information Organization and Retrieval Introduction University of California, Berkeley School of Information Management and Systems SIMS 245: Organization.
Linked Library (+AM) Data Presented LITA Next-Generation Catalog IG Corey A Harper Publish, Enrich, Relate and Un-Silo.
OAI metadata: why and how Jenn Riley Metadata Librarian Indiana University.
4/19/2006DLP Brown Bag Series Spring Making Interoperability Easier: Creating Shareable Metadata Jenn Riley Metadata Librarian IU Digital Library.
Linked Open Data Approaches within the ARIADNE project
Do MORe with your data LoCloud Final Conference 5th February 2016
Metadata Standards - Types
From FRBR to FRBROO through CIDOC CRM…
Data Catalog Project A Browsable, Searchable, Metadata System
INFORMATION STRUCTURES FOR VISUAL WORKS
Web Development A Visual-Spatial Approach
Cataloguing image collections in Intute
Digitization of the Ullrich Salon archives challenges of the new media
When the subjects of metadata embrace the statistical learning
Web Development & Design Chapter 1, Sections 4, 5 & 6
When the subjects of metadata embraces the statistical learning
PREMIS Tools and Services
Objectives, activities, and results of the database Lituanistika
The new RDA: resource description in libraries and beyond
Shareable Metadata: Why and How
Integrated Access and Shareable Metadata
Digital Library and Plan for Institutional Repository
Digital Library and Plan for Institutional Repository
AUC’s Role In Facilitating Access To Knowledge In The Arab World
Presentation transcript:

Remodeling the Getty Provenance Index as Linked Open Data Remodeling the GPI as LOD Ruth Cuadra Business Application Administrator Getty Research Institute 2016 Digital Provenance Symposium Hosted by Carnegie Museum of Art rcuadra @getty.edu

Overview Remodeling the GPI as LOD About the Provenance Index Our Remodeling Project Data Modeling: Integrating Auction Sales Catalogs and Dealer Stock Books Developing a URI Scheme and Reconciling with Getty Vocabularies Lessons Learned Remodeling the GPI as LOD rcuadra @getty.edu

About the Provenance Index 8 databases 1.5 million records Primarily Western European art Variety of primary sources Remodeling the GPI as LOD rcuadra @getty.edu

In the beginning… Remodeling the GPI as LOD Published as book series Databases designed to support print publications Remodeling the GPI as LOD rcuadra @getty.edu

The Remodeling Project: Goals Remodeling the GPI as LOD Improve accessibility Improve usability Strengthen relationships with other GRI materials Explore research questions Remodeling the GPI as LOD The rcuadra @getty.edu

Remodeling Project: Timeline 2016-2018 Phase 1 User Experience Research Data Modeling Software Architecture Planning Publications, Communications, DH Planning Phase 2 Software Development Documentation Research Projects Phase 3 Usability Testing Launch and Outreach Remodeling the GPI as LOD rcuadra @getty.edu

Remodeling Project: Phase 1 Remodeling the GPI as LOD rcuadra @getty.edu Image credit: bit.ly/2dBnp8x

Remodeling Project: Phase 1 Remodeling the GPI as LOD rcuadra @getty.edu Image credit: bit.ly/2e6nUKz

Remodeling Project: Phase 1 Remodeling the GPI as LOD rcuadra @getty.edu Image credits: bit.ly/2d08bGY, bit.ly/2dFEJsg, bit.ly/2dFEJsg

Data Modeling: Provenance Model Remodeling the GPI as LOD rcuadra @getty.edu

Data Modeling: Provenance Model (CRM) Remodeling the GPI as LOD rcuadra @getty.edu

Data Modeling: Auction Sales Catalogs Remodeling the GPI as LOD rcuadra @getty.edu

Data Modeling: Auction Sales Catalogs Remodeling the GPI as LOD rcuadra @getty.edu

Data Modeling: Auction Sales Catalogs Remodeling the GPI as LOD rcuadra @getty.edu

Data Modeling: Auction Sales Catalogs (CRM) Remodeling the GPI as LOD rcuadra @getty.edu

Data Modeling: Auction Sales Catalogs Remodeling the GPI as LOD rcuadra @getty.edu

Data Modeling: Auction Sales Catalogs Remodeling the GPI as LOD rcuadra @getty.edu

Data Modeling: Auction Sales Catalogs Remodeling the GPI as LOD rcuadra @getty.edu

Data Modeling: Auction Sales Catalogs Remodeling the GPI as LOD rcuadra @getty.edu

Data Modeling: Auction Sales Catalogs Remodeling the GPI as LOD rcuadra @getty.edu

Data Modeling: Auction Sales Remodeling the GPI as LOD rcuadra @getty.edu

Data Modeling: Dealer Stock Books Remodeling the GPI as LOD rcuadra @getty.edu

Data Modeling: Dealer Stock Books Remodeling the GPI as LOD rcuadra @getty.edu

Data Modeling: Dealer Stock Books Remodeling the GPI as LOD rcuadra @getty.edu

Data Modeling: Taking Inventory Remodeling the GPI as LOD rcuadra @getty.edu

Data Modeling: Taking Inventory (CRM) Remodeling the GPI as LOD rcuadra @getty.edu

Developing a URI Scheme https://data.getty.edu/project/resourceType/identifier[/identifierPart] Examples: https://data.getty.edu/collection/painting/882 https://data.getty.edu/provenance/activity/d17382/a106  Remodeling the GPI as LOD https Avoids passive mixed content errors; provides user privacy data.getty.edu Host will redirect or proxy requests project Allows simple rules for proxying; distinguishes source of data without relying on political constructs resourceType distinguishes and compartmentalizes the data within the project identifier a string that is unique within a resourceType identifierPart Repeatable component for sub-identifiers to break up the identifier into more granular pieces rcuadra @getty.edu

Reconciling with Getty Vocabularies People: ULAN (Union List of Artist Names) Places: TGN (Thesaurus of Geographic Names) Things: CONA (Cultural Object Name Authority) Types of people, places, things: AAT (Art & Architecture Thesaurus) Remodeling the GPI as LOD rcuadra @getty.edu

Reconciling with Getty Vocabularies Remodeling the GPI as LOD rcuadra @getty.edu

Remodeling the GPI as LOD Lessons Learned rcuadra @getty.edu

Lessons Learned Remodeling the GPI as LOD Need to focus on our goals … not on philosophical disagreements around ontologies Remodeling the GPI as LOD rcuadra @getty.edu

Lessons Learned Remodeling the GPI as LOD Need to focus on our goals … not on philosophical disagreements around ontologies Hard to align models while avoiding false precision Remodeling the GPI as LOD rcuadra @getty.edu

Lessons Learned Remodeling the GPI as LOD Need to focus on our goals … not on philosophical disagreements around ontologies Hard to align models while avoiding false precision Get over the “need” for 100% precision, 100% coverage, 100% completeness Remodeling the GPI as LOD rcuadra @getty.edu

Lessons Learned Remodeling the GPI as LOD Need to focus on our goals … not on philosophical disagreements around ontologies Hard to align models while avoiding false precision Get over the “need” for 100% precision, 100% coverage, 100% completeness Start somewhere, then design, implement, learn, correct, and iterate Remodeling the GPI as LOD rcuadra @getty.edu

Ruth Cuadra / rcuadra@getty.edu Thank you! Remodeling the GPI as LOD s Ruth Cuadra / rcuadra@getty.edu rcuadra @getty.edu