SlideShare uma empresa Scribd logo
1 de 1
Baixar para ler offline
Representation Patterns for Cultural Heritage Resources

FLORIDA STATE UNIVERSITY
College of Communication and Information
School of Library and Information Studies

Creating Linked Data Patterns for Libraries, Archives, and Museums
Dr. Richard J. Urban – rurban@fsu.edu – http://orcid.org/0000-0003-2817-4590

e Problem
Currently, librarians, archivists, and museum professionals can choose
from a large universe of representation standards (see Figure 1). Each of
these standards exhibits various strengths and weaknesses based on the
problems they are engineered to address. Unfortunately, standards
developers do not always explicitly articulate the problems or the
contexts that shaped a particular solution. Although Greenberg (2005)
provides a way to classify standards according to their domain,
objectives, and architecture, there is no mechanism to identify and
organize the features found within a standard.

http://lodlampatterns.org/protopattern/
Surrogate Identity
Figure 3: Graph Per Resource Pattern
(Dodds & Davis, 2011)
Figure 4: Yahoo! Design Pattern Library
(http://developer.yahoo.com/ypatterns/)

Solution

Figure 1: Seeing Standards: A Visualization of the Metadata Universe (Riley & Becker, 2010)

Context
Linked Open Data (LOD) is an important new paradigm for de�ning
representation standards for cultural heritage resources. Unlike methods
that require the adoption of a single primary representation standard,
LOD principles encourage the reuse and extension of existing models.
Rather than building new representation standards from the ground
up, leading examples of cultural heritage Linked Data creatively remix
general LOD models with existing cultural heritage standards (see
Figure 2). Because data modeling is a sociotechnical process as much as
it is a set of technical problems, Churchill (2012) has called on
researchers to bring HCI approaches and methods to bear on data
design problems.

Design patterns – optimal solutions to common problems – are useful
tools used by developers for software engineering, interface design
(Figure 4), ontology development, and Linked Open Data modeling
(Figure 3) (Gamma, et al., 1995; Blomqvist, Gangemi, & Presutti,
2009; Dodds & Davis, 2011; Gangemi, 2005; van Harmelen, ten
Teije, & Wache, 2011). Although the library, archive, and museum
(LAM) domain frequently uses concrete examples in standards
documentation, these examples lack important features which make
design patterns useful. In addition to providing solutions, design
patterns serve an important function by identifying and articulating
common problems. By doing so, design patterns create a shared
technical lexicon around which designers, developers, and creators
can structure their conversations (Dearden & Finlay, 2006). Because
design patterns make problems, their contexts, and solutions explicit,
they can serve as important educational tools for students and novices
(Chatzigeorgiou, Tsantalis, & Deligiannis, 2008). Design pattern
languages are also capable of expressing patterns at different scales and
in ways that build relationships among patterns (Alexander, 1977).

Method
e Linked Open Data for Libraries, Archives, and Museums
(LODLAM) Patterns project seeks to establish a pattern library for
cultural heritage Linked Open Data. A Mediawiki site has been
established as a sandbox to organize "protopatterns" that emerge from
a content analysis of contemporary metadata standards. Within a
particular standard, we are asking:
• what representation features are present in the standard?
• what problem does this feature try to solve?
• what contexts/forces make this feature relevant?
• how does this feature resemble other features observed in other
standards? (does it constitute a new pattern or is it an exemplar
of one that has already been de�ned?)
Because the LODLAM community values openness and transparency,
this research blends content analysis with a distributed participatory
design methodology (Danielsson, Naghsh, Gumm, & Warr, 2008).
Members of the LODLAM community are invited to contribute to
the identi�cation of problems and solutions, iterative re�nement of
found patterns, and the ongoing organization/classi�cation of
patterns.

Figure 2: British National Bibliography Linked Data Model (http://www.bl.uk/bibliographic/natbib.html)

Problem
How can I distinguish between metadata about an original resource
and metadata about a surrogate that stands in for that resource?

Context
Cultural heritage repositories contain surrogate representations of resources
they hold in their collections (i.e., a digital image that depicts a painting).
Some document-based data management patterns may con�ate these
entities, resulting in confusing, incoherent metadata (Hutt & Riley, 2005).

Solution
Cultural heritage data models should explicitly include surrogate resource
classes that can be identi�ed independently of the resource a surrogate
instance represents. Models should specify the relationship between a
resource and its surrogate(s).

Related Patterns
• One graph per resource (Dodds and Davis, 2011)
Examples
• Categories for the Description of Works of Art (CDWA)
(Work/Related Textual or Visual Documentation)
• Dublin Core Abstract Model (1:1 Principle)
• Europeana Data Model (EDM)
• Requirement 1: distinction between "provided objects" (painting,
book, movie, archeology site, archival �le, etc.) and their digital
representations.
• Requirement 2: distinction between objects and metadata describing
the object.
• VRA Record Type (Work/Image)

Future Work
LODLAM Patterns aims to create a new way to organize our debates
and discussions about representation standards for cultural heritage
resources that is oriented around problems and solutions rather than
standards and schemas. As LAM professionals navigate the paradigm
shift from traditional representation methods to Linked Data and
Semantic Web contexts, LODLAM Patterns can also provide a useful
tool to crosswalk current domain knowledge.
References
Alexander, C., Ishikawa, S., & Silverstein, M. (1977). A pattern language: Towns, buildings, construction. New York: Oxford University Press.
Blomqvist, E., Gangemi, A., & Presutti, V. (2009). Experiments on pattern-based ontology design. In Proceedings of the �fth international conference
on knowledge capture (pp. 41–48). New York, NY: ACM.
Chatzigeorgiou, A., Tsantalis, N., & Deligiannis, I. (2008). An empirical study on students’ ability to comprehend design patterns.
Computers & Education, 51(3), 1007–1016.
Churchill, E. (2012). From data divination to data-aware design. Interactions, 19(5), 10–13.
Danielsson, K., Naghsh, A. M., Gumm, D., & Warr, A. (2008). Distributed participatory design. In CHI’08 Extended Abstracts on Human Factors
in Computing Systems (pp. 3953–3956). New York, NY: ACM.
Dearden, A., & Finlay, J. (2006). Pattern languages in HCI: A critical review. Human–Computer Interaction, 21(1), 49–102.
Dodds, L., & Davis, I. (2011). Linked Data patterns: A pattern catalogue for modelling, publishing, and consuming Linked Data.
Retrieved from: http://patterns.dataincubator.org/
Gamma, E., Helm, R., Johnson, R., & Vlissides, J. (1995). Design patterns : Elements of reusable object-oriented software. Reading, Mass.:
Addison-Wesley.
Gangemi, A. (2005). Ontology design patterns for Semantic Web content. In Y. Gil, E. Motta, V. Benjamins, & M. Musen (Eds.), e Semantic Web –
ISWC 2005 (Vol. 3729, pp. 262–276). Springer Berlin/Heidelberg. Retrieved from http://www.springerlink.com/content/f513071t4477h2w2
Greenberg, J. (2005). Understanding metadata and metadata schemes. Cataloging & Classi�cation Quarterly, 40(3-4), 17–36.
Riley, J., & Becker, D. (2010). Seeing Standards: A visualization of the metadata universe. Indiana University Libraries.
Retrieved from http://www.dlib.indiana.edu/~jenlrile/metadatamap/
van Harmelen, F., ten Teije, A., & Wache, H. (2011). Knowledge engineering rediscovered: Towards reasoning patterns for the semantic web.
In D. Fensel (Ed.), Foundations for the web of information and services: A review of 20 years of semantic web research (pp. 57–74).
New York: Springer.

Mais conteúdo relacionado

Mais procurados

Learning Relations from Social Tagging Data
Learning Relations from Social Tagging DataLearning Relations from Social Tagging Data
Learning Relations from Social Tagging DataHang Dong
 
Semantic Interoperability & Information Brokering in Global Information Systems
Semantic Interoperability & Information Brokering in Global Information SystemsSemantic Interoperability & Information Brokering in Global Information Systems
Semantic Interoperability & Information Brokering in Global Information SystemsAmit Sheth
 
PhD proposal: Specialized heuristics for crowdsourcing website design
PhD proposal: Specialized heuristics for crowdsourcing website designPhD proposal: Specialized heuristics for crowdsourcing website design
PhD proposal: Specialized heuristics for crowdsourcing website designdonellemckinley
 
20111022 ontologiescomeofageocas germanymcguinnessfinal
20111022 ontologiescomeofageocas germanymcguinnessfinal20111022 ontologiescomeofageocas germanymcguinnessfinal
20111022 ontologiescomeofageocas germanymcguinnessfinalDeborah McGuinness
 
International collaboration in science the global map and the network
International collaboration in science the global map and the networkInternational collaboration in science the global map and the network
International collaboration in science the global map and the networkHan Woo PARK
 
On data-driven systems analyzing, supporting and enhancing users’ interaction...
On data-driven systems analyzing, supporting and enhancing users’ interaction...On data-driven systems analyzing, supporting and enhancing users’ interaction...
On data-driven systems analyzing, supporting and enhancing users’ interaction...Grial - University of Salamanca
 
Interactive visualization and exploration of network data with gephi
Interactive visualization and exploration of network data with gephiInteractive visualization and exploration of network data with gephi
Interactive visualization and exploration of network data with gephiBernhard Rieder
 
Computational Models in Systemic Design
Computational Models in Systemic DesignComputational Models in Systemic Design
Computational Models in Systemic DesignRSD7 Symposium
 
Wild data: collaborative e-research and university libraries
Wild data: collaborative e-research and university librariesWild data: collaborative e-research and university libraries
Wild data: collaborative e-research and university librariesRAILS7
 

Mais procurados (9)

Learning Relations from Social Tagging Data
Learning Relations from Social Tagging DataLearning Relations from Social Tagging Data
Learning Relations from Social Tagging Data
 
Semantic Interoperability & Information Brokering in Global Information Systems
Semantic Interoperability & Information Brokering in Global Information SystemsSemantic Interoperability & Information Brokering in Global Information Systems
Semantic Interoperability & Information Brokering in Global Information Systems
 
PhD proposal: Specialized heuristics for crowdsourcing website design
PhD proposal: Specialized heuristics for crowdsourcing website designPhD proposal: Specialized heuristics for crowdsourcing website design
PhD proposal: Specialized heuristics for crowdsourcing website design
 
20111022 ontologiescomeofageocas germanymcguinnessfinal
20111022 ontologiescomeofageocas germanymcguinnessfinal20111022 ontologiescomeofageocas germanymcguinnessfinal
20111022 ontologiescomeofageocas germanymcguinnessfinal
 
International collaboration in science the global map and the network
International collaboration in science the global map and the networkInternational collaboration in science the global map and the network
International collaboration in science the global map and the network
 
On data-driven systems analyzing, supporting and enhancing users’ interaction...
On data-driven systems analyzing, supporting and enhancing users’ interaction...On data-driven systems analyzing, supporting and enhancing users’ interaction...
On data-driven systems analyzing, supporting and enhancing users’ interaction...
 
Interactive visualization and exploration of network data with gephi
Interactive visualization and exploration of network data with gephiInteractive visualization and exploration of network data with gephi
Interactive visualization and exploration of network data with gephi
 
Computational Models in Systemic Design
Computational Models in Systemic DesignComputational Models in Systemic Design
Computational Models in Systemic Design
 
Wild data: collaborative e-research and university libraries
Wild data: collaborative e-research and university librariesWild data: collaborative e-research and university libraries
Wild data: collaborative e-research and university libraries
 

Semelhante a Representation Patterns for Cultural Heritage Resources

Pratt Sils LIS653 4 Fall 2007
Pratt Sils LIS653 4 Fall 2007Pratt Sils LIS653 4 Fall 2007
Pratt Sils LIS653 4 Fall 2007PrattSILS
 
USING ONTOLOGIES TO OVERCOMING DRAWBACKS OF DATABASES AND VICE VERSA: A SURVEY
USING ONTOLOGIES TO OVERCOMING DRAWBACKS OF DATABASES AND VICE VERSA: A SURVEYUSING ONTOLOGIES TO OVERCOMING DRAWBACKS OF DATABASES AND VICE VERSA: A SURVEY
USING ONTOLOGIES TO OVERCOMING DRAWBACKS OF DATABASES AND VICE VERSA: A SURVEYcseij
 
Learning design-daviniahl-nov2013
Learning design-daviniahl-nov2013Learning design-daviniahl-nov2013
Learning design-daviniahl-nov2013davinia.hl
 
Bridging the missing middle for al_tversionfinal_14_08_2014
Bridging the missing middle for al_tversionfinal_14_08_2014Bridging the missing middle for al_tversionfinal_14_08_2014
Bridging the missing middle for al_tversionfinal_14_08_2014debbieholley1
 
An Ecological Lens on the Stressors of Planning for OER Engagement
An Ecological Lens on the Stressors of Planning for OER Engagement An Ecological Lens on the Stressors of Planning for OER Engagement
An Ecological Lens on the Stressors of Planning for OER Engagement Global OER Graduate Network
 
Cataloguing of learning objects using social tagging
Cataloguing of learning objects using social taggingCataloguing of learning objects using social tagging
Cataloguing of learning objects using social taggingLuciana Zaina
 
A semantic framework and software design to enable the transparent integratio...
A semantic framework and software design to enable the transparent integratio...A semantic framework and software design to enable the transparent integratio...
A semantic framework and software design to enable the transparent integratio...Patricia Tavares Boralli
 
Knowledge Organization Lis 653 Spring 2017 Class Posters
Knowledge Organization Lis 653 Spring 2017 Class PostersKnowledge Organization Lis 653 Spring 2017 Class Posters
Knowledge Organization Lis 653 Spring 2017 Class PostersPrattSILS
 
A theory of digital library metadata the emergence of enriching and filtering
A theory of digital library metadata the emergence of enriching and filteringA theory of digital library metadata the emergence of enriching and filtering
A theory of digital library metadata the emergence of enriching and filteringGetaneh Alemu
 
Integrating social media into online educational spaces: Modeling professiona...
Integrating social media into online educational spaces: Modeling professiona...Integrating social media into online educational spaces: Modeling professiona...
Integrating social media into online educational spaces: Modeling professiona...University of Waterloo
 
KidsLoop-March2022-Ethically-driven analytics supporting educators.pptx
KidsLoop-March2022-Ethically-driven analytics supporting educators.pptxKidsLoop-March2022-Ethically-driven analytics supporting educators.pptx
KidsLoop-March2022-Ethically-driven analytics supporting educators.pptxdavinia.hl
 
Embracing Social Software And Semantic Web In Digital Libraries
Embracing Social Software And Semantic Web In Digital LibrariesEmbracing Social Software And Semantic Web In Digital Libraries
Embracing Social Software And Semantic Web In Digital LibrariesAkhmad Riza Faizal
 
Knowledge maps for e-learning. Jae Hwa Lee, Aviv Segev
Knowledge maps for e-learning. Jae Hwa Lee, Aviv SegevKnowledge maps for e-learning. Jae Hwa Lee, Aviv Segev
Knowledge maps for e-learning. Jae Hwa Lee, Aviv Segeveraser Juan José Calderón
 
A Design Theory For Digital Platforms Supporting Online Communities A Multip...
A Design Theory For Digital Platforms Supporting Online Communities  A Multip...A Design Theory For Digital Platforms Supporting Online Communities  A Multip...
A Design Theory For Digital Platforms Supporting Online Communities A Multip...Andrew Parish
 
Entity Resolution in Large Graphs
Entity Resolution in Large GraphsEntity Resolution in Large Graphs
Entity Resolution in Large GraphsApurva Kumar
 
A Shared Data Format For Describing Collaborative Design Processes @ Cumulus ...
A Shared Data Format For Describing Collaborative Design Processes @ Cumulus ...A Shared Data Format For Describing Collaborative Design Processes @ Cumulus ...
A Shared Data Format For Describing Collaborative Design Processes @ Cumulus ...Massimo Menichinelli
 

Semelhante a Representation Patterns for Cultural Heritage Resources (20)

Pratt Sils LIS653 4 Fall 2007
Pratt Sils LIS653 4 Fall 2007Pratt Sils LIS653 4 Fall 2007
Pratt Sils LIS653 4 Fall 2007
 
USING ONTOLOGIES TO OVERCOMING DRAWBACKS OF DATABASES AND VICE VERSA: A SURVEY
USING ONTOLOGIES TO OVERCOMING DRAWBACKS OF DATABASES AND VICE VERSA: A SURVEYUSING ONTOLOGIES TO OVERCOMING DRAWBACKS OF DATABASES AND VICE VERSA: A SURVEY
USING ONTOLOGIES TO OVERCOMING DRAWBACKS OF DATABASES AND VICE VERSA: A SURVEY
 
Learning design-daviniahl-nov2013
Learning design-daviniahl-nov2013Learning design-daviniahl-nov2013
Learning design-daviniahl-nov2013
 
Linked Data Selectors
Linked Data SelectorsLinked Data Selectors
Linked Data Selectors
 
Bridging the missing middle for al_tversionfinal_14_08_2014
Bridging the missing middle for al_tversionfinal_14_08_2014Bridging the missing middle for al_tversionfinal_14_08_2014
Bridging the missing middle for al_tversionfinal_14_08_2014
 
Thatcamp recap
Thatcamp recapThatcamp recap
Thatcamp recap
 
USG teaching & Learning Conference
USG teaching & Learning ConferenceUSG teaching & Learning Conference
USG teaching & Learning Conference
 
An Ecological Lens on the Stressors of Planning for OER Engagement
An Ecological Lens on the Stressors of Planning for OER Engagement An Ecological Lens on the Stressors of Planning for OER Engagement
An Ecological Lens on the Stressors of Planning for OER Engagement
 
Cataloguing of learning objects using social tagging
Cataloguing of learning objects using social taggingCataloguing of learning objects using social tagging
Cataloguing of learning objects using social tagging
 
A semantic framework and software design to enable the transparent integratio...
A semantic framework and software design to enable the transparent integratio...A semantic framework and software design to enable the transparent integratio...
A semantic framework and software design to enable the transparent integratio...
 
Knowledge Organization Lis 653 Spring 2017 Class Posters
Knowledge Organization Lis 653 Spring 2017 Class PostersKnowledge Organization Lis 653 Spring 2017 Class Posters
Knowledge Organization Lis 653 Spring 2017 Class Posters
 
A theory of digital library metadata the emergence of enriching and filtering
A theory of digital library metadata the emergence of enriching and filteringA theory of digital library metadata the emergence of enriching and filtering
A theory of digital library metadata the emergence of enriching and filtering
 
Integrating social media into online educational spaces: Modeling professiona...
Integrating social media into online educational spaces: Modeling professiona...Integrating social media into online educational spaces: Modeling professiona...
Integrating social media into online educational spaces: Modeling professiona...
 
KidsLoop-March2022-Ethically-driven analytics supporting educators.pptx
KidsLoop-March2022-Ethically-driven analytics supporting educators.pptxKidsLoop-March2022-Ethically-driven analytics supporting educators.pptx
KidsLoop-March2022-Ethically-driven analytics supporting educators.pptx
 
Embracing Social Software And Semantic Web In Digital Libraries
Embracing Social Software And Semantic Web In Digital LibrariesEmbracing Social Software And Semantic Web In Digital Libraries
Embracing Social Software And Semantic Web In Digital Libraries
 
Knowledge maps for e-learning. Jae Hwa Lee, Aviv Segev
Knowledge maps for e-learning. Jae Hwa Lee, Aviv SegevKnowledge maps for e-learning. Jae Hwa Lee, Aviv Segev
Knowledge maps for e-learning. Jae Hwa Lee, Aviv Segev
 
A Design Theory For Digital Platforms Supporting Online Communities A Multip...
A Design Theory For Digital Platforms Supporting Online Communities  A Multip...A Design Theory For Digital Platforms Supporting Online Communities  A Multip...
A Design Theory For Digital Platforms Supporting Online Communities A Multip...
 
Entity Resolution in Large Graphs
Entity Resolution in Large GraphsEntity Resolution in Large Graphs
Entity Resolution in Large Graphs
 
Mlj 2013 itm
Mlj 2013 itmMlj 2013 itm
Mlj 2013 itm
 
A Shared Data Format For Describing Collaborative Design Processes @ Cumulus ...
A Shared Data Format For Describing Collaborative Design Processes @ Cumulus ...A Shared Data Format For Describing Collaborative Design Processes @ Cumulus ...
A Shared Data Format For Describing Collaborative Design Processes @ Cumulus ...
 

Mais de Richard Urban

Collections Cubed: Into the Third Dimension
Collections Cubed: Into the Third DimensionCollections Cubed: Into the Third Dimension
Collections Cubed: Into the Third DimensionRichard Urban
 
Data-modeling Mindsets and the Digital Humanities
Data-modeling Mindsets and the Digital HumanitiesData-modeling Mindsets and the Digital Humanities
Data-modeling Mindsets and the Digital HumanitiesRichard Urban
 
How to do things with metadata: From rights statements to speech acts.
How to do things with metadata: From rights statements to speech acts.How to do things with metadata: From rights statements to speech acts.
How to do things with metadata: From rights statements to speech acts.Richard Urban
 
Digital Libraries in the Third Dimension
Digital Libraries in the Third DimensionDigital Libraries in the Third Dimension
Digital Libraries in the Third DimensionRichard Urban
 
The Dublin Core 1:1 Principle in the Age of Linked Data
The Dublin Core 1:1 Principle in the Age of Linked DataThe Dublin Core 1:1 Principle in the Age of Linked Data
The Dublin Core 1:1 Principle in the Age of Linked DataRichard Urban
 
3D Printing for Scientific & Cultural Collections
3D Printing for Scientific & Cultural Collections3D Printing for Scientific & Cultural Collections
3D Printing for Scientific & Cultural CollectionsRichard Urban
 
Publishing and Using Linked Open Data - Day 5
Publishing and Using Linked Open Data - Day 5Publishing and Using Linked Open Data - Day 5
Publishing and Using Linked Open Data - Day 5Richard Urban
 
Publishing and Using Linked Open Data - Day 4
Publishing and Using Linked Open Data - Day 4Publishing and Using Linked Open Data - Day 4
Publishing and Using Linked Open Data - Day 4Richard Urban
 
Publishing and Using Linked Open Data - Day 2
Publishing and Using Linked Open Data - Day 2Publishing and Using Linked Open Data - Day 2
Publishing and Using Linked Open Data - Day 2Richard Urban
 
Publishing and Using Linked Open Data - Day 1
Publishing and Using Linked Open Data - Day 1 Publishing and Using Linked Open Data - Day 1
Publishing and Using Linked Open Data - Day 1 Richard Urban
 
Linked Open Data for Libraries, Archives, and Museums: An Aggregators View
Linked Open Data for Libraries, Archives, and Museums: An Aggregators ViewLinked Open Data for Libraries, Archives, and Museums: An Aggregators View
Linked Open Data for Libraries, Archives, and Museums: An Aggregators ViewRichard Urban
 
DCMI/ASIS&T Conference Roundup
DCMI/ASIS&T Conference RoundupDCMI/ASIS&T Conference Roundup
DCMI/ASIS&T Conference RoundupRichard Urban
 
Museum Information Visualization Research Files
Museum Information Visualization Research FilesMuseum Information Visualization Research Files
Museum Information Visualization Research FilesRichard Urban
 
Principle Violations: Revisiting the Dublin Core 1:1 Principle
Principle Violations:  Revisiting the Dublin Core 1:1 PrinciplePrinciple Violations:  Revisiting the Dublin Core 1:1 Principle
Principle Violations: Revisiting the Dublin Core 1:1 PrincipleRichard Urban
 
Building and Evaluating Collection Dashboards
Building and Evaluating Collection DashboardsBuilding and Evaluating Collection Dashboards
Building and Evaluating Collection DashboardsRichard Urban
 
The Past's Present Future: Emerging Trends in Online Cultural Heritage
The Past's Present Future:  Emerging Trends in Online Cultural HeritageThe Past's Present Future:  Emerging Trends in Online Cultural Heritage
The Past's Present Future: Emerging Trends in Online Cultural HeritageRichard Urban
 
Cultural Heritage Information Dashboards
Cultural Heritage Information DashboardsCultural Heritage Information Dashboards
Cultural Heritage Information DashboardsRichard Urban
 
IMLS DCC Progress Update to the Chief Officers of State Library Agencies (COSLA)
IMLS DCC Progress Update to the Chief Officers of State Library Agencies (COSLA)IMLS DCC Progress Update to the Chief Officers of State Library Agencies (COSLA)
IMLS DCC Progress Update to the Chief Officers of State Library Agencies (COSLA)Richard Urban
 
Modeling CDWA Lite as an OWL-DL Ontology
Modeling CDWA Lite as an OWL-DL OntologyModeling CDWA Lite as an OWL-DL Ontology
Modeling CDWA Lite as an OWL-DL OntologyRichard Urban
 

Mais de Richard Urban (20)

Collections Cubed: Into the Third Dimension
Collections Cubed: Into the Third DimensionCollections Cubed: Into the Third Dimension
Collections Cubed: Into the Third Dimension
 
Data-modeling Mindsets and the Digital Humanities
Data-modeling Mindsets and the Digital HumanitiesData-modeling Mindsets and the Digital Humanities
Data-modeling Mindsets and the Digital Humanities
 
How to do things with metadata: From rights statements to speech acts.
How to do things with metadata: From rights statements to speech acts.How to do things with metadata: From rights statements to speech acts.
How to do things with metadata: From rights statements to speech acts.
 
UX@iSchool
UX@iSchoolUX@iSchool
UX@iSchool
 
Digital Libraries in the Third Dimension
Digital Libraries in the Third DimensionDigital Libraries in the Third Dimension
Digital Libraries in the Third Dimension
 
The Dublin Core 1:1 Principle in the Age of Linked Data
The Dublin Core 1:1 Principle in the Age of Linked DataThe Dublin Core 1:1 Principle in the Age of Linked Data
The Dublin Core 1:1 Principle in the Age of Linked Data
 
3D Printing for Scientific & Cultural Collections
3D Printing for Scientific & Cultural Collections3D Printing for Scientific & Cultural Collections
3D Printing for Scientific & Cultural Collections
 
Publishing and Using Linked Open Data - Day 5
Publishing and Using Linked Open Data - Day 5Publishing and Using Linked Open Data - Day 5
Publishing and Using Linked Open Data - Day 5
 
Publishing and Using Linked Open Data - Day 4
Publishing and Using Linked Open Data - Day 4Publishing and Using Linked Open Data - Day 4
Publishing and Using Linked Open Data - Day 4
 
Publishing and Using Linked Open Data - Day 2
Publishing and Using Linked Open Data - Day 2Publishing and Using Linked Open Data - Day 2
Publishing and Using Linked Open Data - Day 2
 
Publishing and Using Linked Open Data - Day 1
Publishing and Using Linked Open Data - Day 1 Publishing and Using Linked Open Data - Day 1
Publishing and Using Linked Open Data - Day 1
 
Linked Open Data for Libraries, Archives, and Museums: An Aggregators View
Linked Open Data for Libraries, Archives, and Museums: An Aggregators ViewLinked Open Data for Libraries, Archives, and Museums: An Aggregators View
Linked Open Data for Libraries, Archives, and Museums: An Aggregators View
 
DCMI/ASIS&T Conference Roundup
DCMI/ASIS&T Conference RoundupDCMI/ASIS&T Conference Roundup
DCMI/ASIS&T Conference Roundup
 
Museum Information Visualization Research Files
Museum Information Visualization Research FilesMuseum Information Visualization Research Files
Museum Information Visualization Research Files
 
Principle Violations: Revisiting the Dublin Core 1:1 Principle
Principle Violations:  Revisiting the Dublin Core 1:1 PrinciplePrinciple Violations:  Revisiting the Dublin Core 1:1 Principle
Principle Violations: Revisiting the Dublin Core 1:1 Principle
 
Building and Evaluating Collection Dashboards
Building and Evaluating Collection DashboardsBuilding and Evaluating Collection Dashboards
Building and Evaluating Collection Dashboards
 
The Past's Present Future: Emerging Trends in Online Cultural Heritage
The Past's Present Future:  Emerging Trends in Online Cultural HeritageThe Past's Present Future:  Emerging Trends in Online Cultural Heritage
The Past's Present Future: Emerging Trends in Online Cultural Heritage
 
Cultural Heritage Information Dashboards
Cultural Heritage Information DashboardsCultural Heritage Information Dashboards
Cultural Heritage Information Dashboards
 
IMLS DCC Progress Update to the Chief Officers of State Library Agencies (COSLA)
IMLS DCC Progress Update to the Chief Officers of State Library Agencies (COSLA)IMLS DCC Progress Update to the Chief Officers of State Library Agencies (COSLA)
IMLS DCC Progress Update to the Chief Officers of State Library Agencies (COSLA)
 
Modeling CDWA Lite as an OWL-DL Ontology
Modeling CDWA Lite as an OWL-DL OntologyModeling CDWA Lite as an OWL-DL Ontology
Modeling CDWA Lite as an OWL-DL Ontology
 

Último

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessPixlogix Infotech
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?Igalia
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 

Último (20)

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 

Representation Patterns for Cultural Heritage Resources

  • 1. Representation Patterns for Cultural Heritage Resources FLORIDA STATE UNIVERSITY College of Communication and Information School of Library and Information Studies Creating Linked Data Patterns for Libraries, Archives, and Museums Dr. Richard J. Urban – rurban@fsu.edu – http://orcid.org/0000-0003-2817-4590 e Problem Currently, librarians, archivists, and museum professionals can choose from a large universe of representation standards (see Figure 1). Each of these standards exhibits various strengths and weaknesses based on the problems they are engineered to address. Unfortunately, standards developers do not always explicitly articulate the problems or the contexts that shaped a particular solution. Although Greenberg (2005) provides a way to classify standards according to their domain, objectives, and architecture, there is no mechanism to identify and organize the features found within a standard. http://lodlampatterns.org/protopattern/ Surrogate Identity Figure 3: Graph Per Resource Pattern (Dodds & Davis, 2011) Figure 4: Yahoo! Design Pattern Library (http://developer.yahoo.com/ypatterns/) Solution Figure 1: Seeing Standards: A Visualization of the Metadata Universe (Riley & Becker, 2010) Context Linked Open Data (LOD) is an important new paradigm for de�ning representation standards for cultural heritage resources. Unlike methods that require the adoption of a single primary representation standard, LOD principles encourage the reuse and extension of existing models. Rather than building new representation standards from the ground up, leading examples of cultural heritage Linked Data creatively remix general LOD models with existing cultural heritage standards (see Figure 2). Because data modeling is a sociotechnical process as much as it is a set of technical problems, Churchill (2012) has called on researchers to bring HCI approaches and methods to bear on data design problems. Design patterns – optimal solutions to common problems – are useful tools used by developers for software engineering, interface design (Figure 4), ontology development, and Linked Open Data modeling (Figure 3) (Gamma, et al., 1995; Blomqvist, Gangemi, & Presutti, 2009; Dodds & Davis, 2011; Gangemi, 2005; van Harmelen, ten Teije, & Wache, 2011). Although the library, archive, and museum (LAM) domain frequently uses concrete examples in standards documentation, these examples lack important features which make design patterns useful. In addition to providing solutions, design patterns serve an important function by identifying and articulating common problems. By doing so, design patterns create a shared technical lexicon around which designers, developers, and creators can structure their conversations (Dearden & Finlay, 2006). Because design patterns make problems, their contexts, and solutions explicit, they can serve as important educational tools for students and novices (Chatzigeorgiou, Tsantalis, & Deligiannis, 2008). Design pattern languages are also capable of expressing patterns at different scales and in ways that build relationships among patterns (Alexander, 1977). Method e Linked Open Data for Libraries, Archives, and Museums (LODLAM) Patterns project seeks to establish a pattern library for cultural heritage Linked Open Data. A Mediawiki site has been established as a sandbox to organize "protopatterns" that emerge from a content analysis of contemporary metadata standards. Within a particular standard, we are asking: • what representation features are present in the standard? • what problem does this feature try to solve? • what contexts/forces make this feature relevant? • how does this feature resemble other features observed in other standards? (does it constitute a new pattern or is it an exemplar of one that has already been de�ned?) Because the LODLAM community values openness and transparency, this research blends content analysis with a distributed participatory design methodology (Danielsson, Naghsh, Gumm, & Warr, 2008). Members of the LODLAM community are invited to contribute to the identi�cation of problems and solutions, iterative re�nement of found patterns, and the ongoing organization/classi�cation of patterns. Figure 2: British National Bibliography Linked Data Model (http://www.bl.uk/bibliographic/natbib.html) Problem How can I distinguish between metadata about an original resource and metadata about a surrogate that stands in for that resource? Context Cultural heritage repositories contain surrogate representations of resources they hold in their collections (i.e., a digital image that depicts a painting). Some document-based data management patterns may con�ate these entities, resulting in confusing, incoherent metadata (Hutt & Riley, 2005). Solution Cultural heritage data models should explicitly include surrogate resource classes that can be identi�ed independently of the resource a surrogate instance represents. Models should specify the relationship between a resource and its surrogate(s). Related Patterns • One graph per resource (Dodds and Davis, 2011) Examples • Categories for the Description of Works of Art (CDWA) (Work/Related Textual or Visual Documentation) • Dublin Core Abstract Model (1:1 Principle) • Europeana Data Model (EDM) • Requirement 1: distinction between "provided objects" (painting, book, movie, archeology site, archival �le, etc.) and their digital representations. • Requirement 2: distinction between objects and metadata describing the object. • VRA Record Type (Work/Image) Future Work LODLAM Patterns aims to create a new way to organize our debates and discussions about representation standards for cultural heritage resources that is oriented around problems and solutions rather than standards and schemas. As LAM professionals navigate the paradigm shift from traditional representation methods to Linked Data and Semantic Web contexts, LODLAM Patterns can also provide a useful tool to crosswalk current domain knowledge. References Alexander, C., Ishikawa, S., & Silverstein, M. (1977). A pattern language: Towns, buildings, construction. New York: Oxford University Press. Blomqvist, E., Gangemi, A., & Presutti, V. (2009). Experiments on pattern-based ontology design. In Proceedings of the �fth international conference on knowledge capture (pp. 41–48). New York, NY: ACM. Chatzigeorgiou, A., Tsantalis, N., & Deligiannis, I. (2008). An empirical study on students’ ability to comprehend design patterns. Computers & Education, 51(3), 1007–1016. Churchill, E. (2012). From data divination to data-aware design. Interactions, 19(5), 10–13. Danielsson, K., Naghsh, A. M., Gumm, D., & Warr, A. (2008). Distributed participatory design. In CHI’08 Extended Abstracts on Human Factors in Computing Systems (pp. 3953–3956). New York, NY: ACM. Dearden, A., & Finlay, J. (2006). Pattern languages in HCI: A critical review. Human–Computer Interaction, 21(1), 49–102. Dodds, L., & Davis, I. (2011). Linked Data patterns: A pattern catalogue for modelling, publishing, and consuming Linked Data. Retrieved from: http://patterns.dataincubator.org/ Gamma, E., Helm, R., Johnson, R., & Vlissides, J. (1995). Design patterns : Elements of reusable object-oriented software. Reading, Mass.: Addison-Wesley. Gangemi, A. (2005). Ontology design patterns for Semantic Web content. In Y. Gil, E. Motta, V. Benjamins, & M. Musen (Eds.), e Semantic Web – ISWC 2005 (Vol. 3729, pp. 262–276). Springer Berlin/Heidelberg. Retrieved from http://www.springerlink.com/content/f513071t4477h2w2 Greenberg, J. (2005). Understanding metadata and metadata schemes. Cataloging & Classi�cation Quarterly, 40(3-4), 17–36. Riley, J., & Becker, D. (2010). Seeing Standards: A visualization of the metadata universe. Indiana University Libraries. Retrieved from http://www.dlib.indiana.edu/~jenlrile/metadatamap/ van Harmelen, F., ten Teije, A., & Wache, H. (2011). Knowledge engineering rediscovered: Towards reasoning patterns for the semantic web. In D. Fensel (Ed.), Foundations for the web of information and services: A review of 20 years of semantic web research (pp. 57–74). New York: Springer.