SlideShare a Scribd company logo
Zeitschriftendatenbank

On the way to a Holding Ontology
DINI KIM WG Holdings

Carsten Klee
Jakob Voß
Cow path is paved
Zeitschriftendatenbank

 More & more RDF data from libraries and related
organizations
 Good guidelines (W3C LLD, Working Group Titles best practice
guide, LLD Book)
 ..but no descriptions of holding
Why holdings?
Zeitschriftendatenbank

 Use cases


Final Report 25 October 2011 (W3C LLD Incubator Group)



Open Bibliographic Data Guide (JISC / UK RDTF)
Use case 1 & 2
Zeitschriftendatenbank

The supply of records containing holdings data to a shared service
1. in order to support collection management.
2. in order to enhance discovery, location and delivery services.
Use case 3 & 4
Zeitschriftendatenbank

3. Expose bibliographic data including holdings and potentially
availability


that can be used to provide a closest copy location service.

4. Creating the opportunity for third parties


to develop local and wider services of value



some of which may potentially drive increased attention and traffic
back to the library and its holdings.

By MJ Suhonos - MyTPL
iPhone App
Use case 5
Zeitschriftendatenbank

5. Search engines having greater knowledge of institutional
holdings
Working Group Holdings
Zeitschriftendatenbank

 founded in April 2013
 Mailinglist dini-ag-kim-bestandsdaten@lists.dnb.de
 Wiki https://wiki.dnb.de/x/johZB
 GitHub
https://github.com/organizations/dini-ag-kim/teams/448741
 Discussion in English
What are our goals?
Zeitschriftendatenbank

 Best Practice Guide


how to publish holding data in RDF



reuse of existing vocabularies



examples and mappings based on existing data and formats
(MARC, PICA)
Analysis of Standards/Formats related to holdings
Zeitschriftendatenbank

 Standards/Formats


ISO 20775



ISO 18626 Interlibrary Loan Transactions



Holdings Statements for Bibliographic Items Z39.71-2006



MARC21 Holdings



ZETA
Analysis of Ontologies and Vocabularies related to
holdings
Zeitschriftendatenbank

 Ontologies/Vocabularies


Document Availability Information API (DAIA)



Document Service Ontology (DSO)



Simple Service Status Ontology (SSSO)



Enumeration and Chronology of Periodicals Ontology (ECPO)



Bibframe Holding Vocabulary



ONIX-SOH Serials Online Holdings



ONIX for Serials Coverage Statement



Interlibrary loan code



GLAM Item Ontology



Library Holdings RDF Vocabulary



Erlangen CRM



DC Terms, FOAF, Good Relations etc.
What hinders you from contributing to the holdings
group?
Github is a hurdle
Zeitschriftendatenbank

Discussion level to high
Within discussion I don't feel addressed
Unprofessional group management
Other reasons
Working status unknown/unclear
I intended to be a passive reader
English is a hurdle
0

1

2
Votes

 90 postings by 9 of 36 subscribers since April

3

4
And now?

You are welcome to contribute to the group!
Zeitschriftendatenbank

via
http://lists.dnb.de/mailman/listinfo/dini-ag-kimbestandsdaten

or
https://github.com/dini-ag-kim/holding-ontology

- is your data covered by the Holding Ontology?
- provide RDF examples
https://github.com/dini-ag-kim/holding-ontology-examples
What kind of holding data?

Holding Ontology should enable to clearly answer:
1.
2.
3.
4.
5.
6.

What holdings does a library have?
What documents are included in or exemplified by a holding?
What can patrons do with a holding?
Where is a holding located?
What are unique properties of a holding?
What is a patron doing with a holding?
Clarify fuzzy terms terms such as
holding, document, copy, item, piece, copy, . . .
Core Concepts (1/2)

Why create new RDF classes? Reuse existing ones!
frbr:Item an exemplar/copy of a document
(aka holding)
bibo:Document = foaf:Document an abstract or concrete
work which an frbr:Item is exemplar of
foaf:Agent a person or organization
(a library, a patron. . . )
schema:Place = gr:Location a place or location
(a library building, a floor, a stack. . . )
Core Concepts (2/2)

Why put everything in one ontology? Create micro-ontologies!
dso:DocumentService a service that includes a document
(lending, accessing, copying. . . )
ssso:ServiceEvent a service that is also an event (e.g. lending of
item X by patron Y during time Z)
ecpo:Chronology enumerations and chronology of a periodical or
series (e.g. volume 5, issue 3 till now)
Here “a service that” refers to service:Service defined in the
Service Ontology to describe services both abstract and concrete.
Micro-Ontologies (classes/properties/individuals)
Service Ontology (4/8/0)
http://dini-ag-kim.github.io/service-ontology/
Document Service Ontology (DSO) (5/2/0)
http://purl.org/ontology/dso
Simple Service Status Ontology (SSSO) (8/2/0)
http://purl.org/ontology/ssso
Holding Ontology (0/10/0)
http://dini-ag-kim.github.io/holding-ontology/
Enumeration and Chronology of Periodicals Ontology
(ECPO) (3/29/2) http://purl.org/ontology/ecpo
DAIA Ontology (DAIA) (0/4/0)
http://gbv.github.io/daiaspec
PAIA Ontology (PAIA) (2/1/2)
http://purl.org/ontology/paia
What kind of holding data? (1/2)
1. What holdings does a library have?
$library a foaf:Agent ;
holding:holds [ a frbr:Item ] .
This alone does not imply services (see 3.)

2. What documents are included/exemplified by a holding?
$holding a frbr:Item;
holding:exemplar [ a bibo:Document ] .
$holding a frbr:Item;
ecpo:hasChronolgy [ a ecpo:Chronology ].
Part/whole relationships:
dcterms:hasPart, holding:narrowerExemplar. . .

3. What can patrons do with a holding?
Services and Offerings that include holding items
(daia:availableFor, service:providedBy. . . )
What kind of holding data? (1/2)
4. Where is a holding located?
$holding a frbr:Item ;
schema:location $place ;
holding:inCollection $col .
$o a schema:Offer ;
gr:includesObject $holding ;
schema:availableAtOrFrom $place .
...?

5. What are unique properties of a holding?
holding:label (aka call number, shelf mark. . . )
6. What is a patron doing with a holding?
holdings currently on loan or reserved expressible with
PAIA ontology and Simple Service Status Ontology.
Summary

The holding ontology combines
existing ontologies (BibO, FOAF, GoodRelations, Schema.org)
new micro-ontologies (DSO, SSSO, ECPO, DAIA, Service)
and a couple of holding ontology properties
to all RDF terms required to describe holding information.
work in progress, feedback welcome!
https://github.com/dini-ag-kim/holding-ontology

More Related Content

What's hot

Expanding the content categories at JaLC
Expanding the content categories at JaLCExpanding the content categories at JaLC
Expanding the content categories at JaLC
National Institute of Informatics (NII)
 
Web Data Management with RDF
Web Data Management with RDFWeb Data Management with RDF
Web Data Management with RDF
M. Tamer Özsu
 
Hack U Barcelona 2011
Hack U Barcelona 2011Hack U Barcelona 2011
Hack U Barcelona 2011
Peter Mika
 
DLF 2015 Presentation, "RDF in the Real World."
DLF 2015 Presentation, "RDF in the Real World." DLF 2015 Presentation, "RDF in the Real World."
DLF 2015 Presentation, "RDF in the Real World."
Avalon Media System
 
RDF and Open Linked Data, a first approach
RDF and Open Linked Data, a first approachRDF and Open Linked Data, a first approach
RDF and Open Linked Data, a first approach
horvadam
 
VALA Tech Camp 2017: Intro to Wikidata & SPARQL
VALA Tech Camp 2017: Intro to Wikidata & SPARQLVALA Tech Camp 2017: Intro to Wikidata & SPARQL
VALA Tech Camp 2017: Intro to Wikidata & SPARQL
Jane Frazier
 
Fedora Migration Considerations
Fedora Migration ConsiderationsFedora Migration Considerations
Fedora Migration Considerations
Avalon Media System
 
Scaling the (evolving) web data –at low cost-
Scaling the (evolving) web data –at low cost-Scaling the (evolving) web data –at low cost-
Scaling the (evolving) web data –at low cost-
WU (Vienna University of Economics and Business)
 
20140521 sem-tech-biz-guest-lecture
20140521 sem-tech-biz-guest-lecture20140521 sem-tech-biz-guest-lecture
20140521 sem-tech-biz-guest-lecture
Vladimir Alexiev, PhD, PMP
 
RDA and the Semantic Web
RDA and the Semantic WebRDA and the Semantic Web
RDA and the Semantic Web
Alexander Haffner
 
Efficient RDF Interchange (ERI) Format for RDF Data Streams
Efficient RDF Interchange (ERI) Format for RDF Data StreamsEfficient RDF Interchange (ERI) Format for RDF Data Streams
Efficient RDF Interchange (ERI) Format for RDF Data Streams
WU (Vienna University of Economics and Business)
 
The Evolution of Library Descriptive Practices: Bibliographic Control? Descri...
The Evolution of Library Descriptive Practices: Bibliographic Control? Descri...The Evolution of Library Descriptive Practices: Bibliographic Control? Descri...
The Evolution of Library Descriptive Practices: Bibliographic Control? Descri...
Jenn Riley
 
FRBR presentation by Bwsrang Basumatary
FRBR presentation by Bwsrang BasumataryFRBR presentation by Bwsrang Basumatary
FRBR presentation by Bwsrang Basumatary
Bwsrang Basumatary
 
FAST Update
FAST UpdateFAST Update
FAST Update
OCLC
 
[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry ...
[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry ...[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry ...
[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry ...
Ontotext
 
Connections that work: Linked Open Data demystified
Connections that work: Linked Open Data demystifiedConnections that work: Linked Open Data demystified
Connections that work: Linked Open Data demystified
Jakob .
 
Rdf Overview Presentation
Rdf Overview PresentationRdf Overview Presentation
Rdf Overview Presentation
Ken Varnum
 
RDA, FRBR, and FRAD: Connecting the dots
RDA, FRBR, and FRAD: Connecting the dotsRDA, FRBR, and FRAD: Connecting the dots
RDA, FRBR, and FRAD: Connecting the dots
Louise Spiteri
 
Getting triples from records: the role of ISBD
Getting triples from records: the role of ISBDGetting triples from records: the role of ISBD
Datalift a-catalyser-for-the-web-of-data-fosdem-05-02-2011
Datalift a-catalyser-for-the-web-of-data-fosdem-05-02-2011Datalift a-catalyser-for-the-web-of-data-fosdem-05-02-2011
Datalift a-catalyser-for-the-web-of-data-fosdem-05-02-2011
François Scharffe
 

What's hot (20)

Expanding the content categories at JaLC
Expanding the content categories at JaLCExpanding the content categories at JaLC
Expanding the content categories at JaLC
 
Web Data Management with RDF
Web Data Management with RDFWeb Data Management with RDF
Web Data Management with RDF
 
Hack U Barcelona 2011
Hack U Barcelona 2011Hack U Barcelona 2011
Hack U Barcelona 2011
 
DLF 2015 Presentation, "RDF in the Real World."
DLF 2015 Presentation, "RDF in the Real World." DLF 2015 Presentation, "RDF in the Real World."
DLF 2015 Presentation, "RDF in the Real World."
 
RDF and Open Linked Data, a first approach
RDF and Open Linked Data, a first approachRDF and Open Linked Data, a first approach
RDF and Open Linked Data, a first approach
 
VALA Tech Camp 2017: Intro to Wikidata & SPARQL
VALA Tech Camp 2017: Intro to Wikidata & SPARQLVALA Tech Camp 2017: Intro to Wikidata & SPARQL
VALA Tech Camp 2017: Intro to Wikidata & SPARQL
 
Fedora Migration Considerations
Fedora Migration ConsiderationsFedora Migration Considerations
Fedora Migration Considerations
 
Scaling the (evolving) web data –at low cost-
Scaling the (evolving) web data –at low cost-Scaling the (evolving) web data –at low cost-
Scaling the (evolving) web data –at low cost-
 
20140521 sem-tech-biz-guest-lecture
20140521 sem-tech-biz-guest-lecture20140521 sem-tech-biz-guest-lecture
20140521 sem-tech-biz-guest-lecture
 
RDA and the Semantic Web
RDA and the Semantic WebRDA and the Semantic Web
RDA and the Semantic Web
 
Efficient RDF Interchange (ERI) Format for RDF Data Streams
Efficient RDF Interchange (ERI) Format for RDF Data StreamsEfficient RDF Interchange (ERI) Format for RDF Data Streams
Efficient RDF Interchange (ERI) Format for RDF Data Streams
 
The Evolution of Library Descriptive Practices: Bibliographic Control? Descri...
The Evolution of Library Descriptive Practices: Bibliographic Control? Descri...The Evolution of Library Descriptive Practices: Bibliographic Control? Descri...
The Evolution of Library Descriptive Practices: Bibliographic Control? Descri...
 
FRBR presentation by Bwsrang Basumatary
FRBR presentation by Bwsrang BasumataryFRBR presentation by Bwsrang Basumatary
FRBR presentation by Bwsrang Basumatary
 
FAST Update
FAST UpdateFAST Update
FAST Update
 
[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry ...
[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry ...[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry ...
[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry ...
 
Connections that work: Linked Open Data demystified
Connections that work: Linked Open Data demystifiedConnections that work: Linked Open Data demystified
Connections that work: Linked Open Data demystified
 
Rdf Overview Presentation
Rdf Overview PresentationRdf Overview Presentation
Rdf Overview Presentation
 
RDA, FRBR, and FRAD: Connecting the dots
RDA, FRBR, and FRAD: Connecting the dotsRDA, FRBR, and FRAD: Connecting the dots
RDA, FRBR, and FRAD: Connecting the dots
 
Getting triples from records: the role of ISBD
Getting triples from records: the role of ISBDGetting triples from records: the role of ISBD
Getting triples from records: the role of ISBD
 
Datalift a-catalyser-for-the-web-of-data-fosdem-05-02-2011
Datalift a-catalyser-for-the-web-of-data-fosdem-05-02-2011Datalift a-catalyser-for-the-web-of-data-fosdem-05-02-2011
Datalift a-catalyser-for-the-web-of-data-fosdem-05-02-2011
 

Viewers also liked

Stand und Planungen im Bereich der Schnittstellen in der VZG
Stand und Planungen im Bereich der Schnittstellen in der VZGStand und Planungen im Bereich der Schnittstellen in der VZG
Stand und Planungen im Bereich der Schnittstellen in der VZGJakob .
 
ET12 - EX2 - Snapchat
ET12 - EX2 - SnapchatET12 - EX2 - Snapchat
Beschreibung von Bibliotheks-Dienstleistungen mit Mikro-Ontologien
Beschreibung von Bibliotheks-Dienstleistungen mit Mikro-OntologienBeschreibung von Bibliotheks-Dienstleistungen mit Mikro-Ontologien
Beschreibung von Bibliotheks-Dienstleistungen mit Mikro-Ontologien
Jakob .
 
Another RDF Encoding Form
Another RDF Encoding FormAnother RDF Encoding Form
Another RDF Encoding Form
Jakob .
 
Collaborative Creation of a Wikidata handbook
Collaborative Creation of a Wikidata handbookCollaborative Creation of a Wikidata handbook
Collaborative Creation of a Wikidata handbook
Jakob .
 
UVA MDST 3703 Hypertext 2012-09-04
UVA MDST 3703 Hypertext 2012-09-04UVA MDST 3703 Hypertext 2012-09-04
UVA MDST 3703 Hypertext 2012-09-04
Rafael Alvarado
 
Personal(ized) History of Hypertext
Personal(ized) History of HypertextPersonal(ized) History of Hypertext
Personal(ized) History of Hypertext
Paul Kahn
 
On Hypertext Narrative
On Hypertext NarrativeOn Hypertext Narrative
On Hypertext Narrative
eastgate
 
The original hypertext system and Wikipedia
The original hypertext system and WikipediaThe original hypertext system and Wikipedia
The original hypertext system and Wikipedia
Jakob .
 
Linked Open Data in Bibliotheken, Archiven & Museen
Linked Open Data in Bibliotheken, Archiven & MuseenLinked Open Data in Bibliotheken, Archiven & Museen
Linked Open Data in Bibliotheken, Archiven & Museen
Jakob .
 
Verwaltung dokumentenorientierter DTDs für den Dokument- und Publikationsserv...
Verwaltung dokumentenorientierter DTDs für den Dokument- und Publikationsserv...Verwaltung dokumentenorientierter DTDs für den Dokument- und Publikationsserv...
Verwaltung dokumentenorientierter DTDs für den Dokument- und Publikationsserv...
Jakob .
 
Einheitliche Normdatendienste der VZG
Einheitliche Normdatendienste der VZGEinheitliche Normdatendienste der VZG
Einheitliche Normdatendienste der VZG
Jakob .
 

Viewers also liked (12)

Stand und Planungen im Bereich der Schnittstellen in der VZG
Stand und Planungen im Bereich der Schnittstellen in der VZGStand und Planungen im Bereich der Schnittstellen in der VZG
Stand und Planungen im Bereich der Schnittstellen in der VZG
 
ET12 - EX2 - Snapchat
ET12 - EX2 - SnapchatET12 - EX2 - Snapchat
ET12 - EX2 - Snapchat
 
Beschreibung von Bibliotheks-Dienstleistungen mit Mikro-Ontologien
Beschreibung von Bibliotheks-Dienstleistungen mit Mikro-OntologienBeschreibung von Bibliotheks-Dienstleistungen mit Mikro-Ontologien
Beschreibung von Bibliotheks-Dienstleistungen mit Mikro-Ontologien
 
Another RDF Encoding Form
Another RDF Encoding FormAnother RDF Encoding Form
Another RDF Encoding Form
 
Collaborative Creation of a Wikidata handbook
Collaborative Creation of a Wikidata handbookCollaborative Creation of a Wikidata handbook
Collaborative Creation of a Wikidata handbook
 
UVA MDST 3703 Hypertext 2012-09-04
UVA MDST 3703 Hypertext 2012-09-04UVA MDST 3703 Hypertext 2012-09-04
UVA MDST 3703 Hypertext 2012-09-04
 
Personal(ized) History of Hypertext
Personal(ized) History of HypertextPersonal(ized) History of Hypertext
Personal(ized) History of Hypertext
 
On Hypertext Narrative
On Hypertext NarrativeOn Hypertext Narrative
On Hypertext Narrative
 
The original hypertext system and Wikipedia
The original hypertext system and WikipediaThe original hypertext system and Wikipedia
The original hypertext system and Wikipedia
 
Linked Open Data in Bibliotheken, Archiven & Museen
Linked Open Data in Bibliotheken, Archiven & MuseenLinked Open Data in Bibliotheken, Archiven & Museen
Linked Open Data in Bibliotheken, Archiven & Museen
 
Verwaltung dokumentenorientierter DTDs für den Dokument- und Publikationsserv...
Verwaltung dokumentenorientierter DTDs für den Dokument- und Publikationsserv...Verwaltung dokumentenorientierter DTDs für den Dokument- und Publikationsserv...
Verwaltung dokumentenorientierter DTDs für den Dokument- und Publikationsserv...
 
Einheitliche Normdatendienste der VZG
Einheitliche Normdatendienste der VZGEinheitliche Normdatendienste der VZG
Einheitliche Normdatendienste der VZG
 

Similar to On the Way to a Holding Ontology

Encoding Patron Information in RDF
Encoding Patron Information in RDFEncoding Patron Information in RDF
Encoding Patron Information in RDF
Jakob .
 
RDA Presentation
RDA PresentationRDA Presentation
RDA Presentation
jendibbern
 
RDA for Original Catalogers
RDA for Original CatalogersRDA for Original Catalogers
RDA for Original Catalogers
Shana McDanold
 
Ifla swsig meeting - Puerto Rico - 20110817
Ifla swsig meeting - Puerto Rico - 20110817Ifla swsig meeting - Puerto Rico - 20110817
Ifla swsig meeting - Puerto Rico - 20110817
Figoblog
 
Resources, resources, resources: the three rs of the Web
Resources, resources, resources: the three rs of the WebResources, resources, resources: the three rs of the Web
Resources, resources, resources: the three rs of the Web
Scottish Library & Information Council (SLIC), CILIP in Scotland (CILIPS)
 
Integrating a Domain Ontology Development Environment and an Ontology Search ...
Integrating a Domain Ontology Development Environment and an Ontology Search ...Integrating a Domain Ontology Development Environment and an Ontology Search ...
Integrating a Domain Ontology Development Environment and an Ontology Search ...
Takeshi Morita
 
W3C Library Linked Data Incubator Group
W3C Library Linked Data Incubator GroupW3C Library Linked Data Incubator Group
W3C Library Linked Data Incubator Group
Antoine Isaac
 
201308 wlic standards committee zarndt et al the alto editorial board collabo...
201308 wlic standards committee zarndt et al the alto editorial board collabo...201308 wlic standards committee zarndt et al the alto editorial board collabo...
201308 wlic standards committee zarndt et al the alto editorial board collabo...
Frederick Zarndt
 
TDWG VoMaG Vocabulary management workflow, 2013-10-31
TDWG VoMaG Vocabulary management workflow, 2013-10-31TDWG VoMaG Vocabulary management workflow, 2013-10-31
TDWG VoMaG Vocabulary management workflow, 2013-10-31
Dag Endresen
 
The Future of Cataloging and Catalogers
The Future of Cataloging and CatalogersThe Future of Cataloging and Catalogers
The Future of Cataloging and Catalogers
kramsey
 
RDA (Resource Description & Access)
RDA (Resource Description & Access)RDA (Resource Description & Access)
RDA (Resource Description & Access)
Jennifer Joyner
 
UNC visit
UNC visitUNC visit
UNC visit
Diane Hillmann
 
THGenius, rdf and open linked data for thesaurus management
THGenius, rdf and open linked data for thesaurus managementTHGenius, rdf and open linked data for thesaurus management
THGenius, rdf and open linked data for thesaurus management
@CULT Srl
 
Repositories and the wider context
Repositories and the wider contextRepositories and the wider context
Repositories and the wider context
Julie Allinson
 
RDA from Scratch for Catalogers
RDA from Scratch for CatalogersRDA from Scratch for Catalogers
RDA from Scratch for Catalogers
Shana McDanold
 
Building the new open linked library: Theory and Practice
Building the new open linked library: Theory and PracticeBuilding the new open linked library: Theory and Practice
Building the new open linked library: Theory and Practice
Trish Rose-Sandler
 
April 8 NISO Webinar: Experimenting with BIBFRAME: Reports from Early Adopters
April 8 NISO Webinar: Experimenting with BIBFRAME: Reports from Early AdoptersApril 8 NISO Webinar: Experimenting with BIBFRAME: Reports from Early Adopters
April 8 NISO Webinar: Experimenting with BIBFRAME: Reports from Early Adopters
National Information Standards Organization (NISO)
 
FRBR model by Gaurav Boudh
FRBR model by Gaurav BoudhFRBR model by Gaurav Boudh
FRBR model by Gaurav Boudh
Library and Information Science Blog
 
Charleston 2012 - The Future of Serials in a Linked Data World
Charleston 2012 - The Future of Serials in a Linked Data WorldCharleston 2012 - The Future of Serials in a Linked Data World
Charleston 2012 - The Future of Serials in a Linked Data World
ProQuest
 
CNI fall 2009 enhanced publications john_doove-SURFfoundation
CNI fall 2009 enhanced publications john_doove-SURFfoundationCNI fall 2009 enhanced publications john_doove-SURFfoundation
CNI fall 2009 enhanced publications john_doove-SURFfoundation
John Doove
 

Similar to On the Way to a Holding Ontology (20)

Encoding Patron Information in RDF
Encoding Patron Information in RDFEncoding Patron Information in RDF
Encoding Patron Information in RDF
 
RDA Presentation
RDA PresentationRDA Presentation
RDA Presentation
 
RDA for Original Catalogers
RDA for Original CatalogersRDA for Original Catalogers
RDA for Original Catalogers
 
Ifla swsig meeting - Puerto Rico - 20110817
Ifla swsig meeting - Puerto Rico - 20110817Ifla swsig meeting - Puerto Rico - 20110817
Ifla swsig meeting - Puerto Rico - 20110817
 
Resources, resources, resources: the three rs of the Web
Resources, resources, resources: the three rs of the WebResources, resources, resources: the three rs of the Web
Resources, resources, resources: the three rs of the Web
 
Integrating a Domain Ontology Development Environment and an Ontology Search ...
Integrating a Domain Ontology Development Environment and an Ontology Search ...Integrating a Domain Ontology Development Environment and an Ontology Search ...
Integrating a Domain Ontology Development Environment and an Ontology Search ...
 
W3C Library Linked Data Incubator Group
W3C Library Linked Data Incubator GroupW3C Library Linked Data Incubator Group
W3C Library Linked Data Incubator Group
 
201308 wlic standards committee zarndt et al the alto editorial board collabo...
201308 wlic standards committee zarndt et al the alto editorial board collabo...201308 wlic standards committee zarndt et al the alto editorial board collabo...
201308 wlic standards committee zarndt et al the alto editorial board collabo...
 
TDWG VoMaG Vocabulary management workflow, 2013-10-31
TDWG VoMaG Vocabulary management workflow, 2013-10-31TDWG VoMaG Vocabulary management workflow, 2013-10-31
TDWG VoMaG Vocabulary management workflow, 2013-10-31
 
The Future of Cataloging and Catalogers
The Future of Cataloging and CatalogersThe Future of Cataloging and Catalogers
The Future of Cataloging and Catalogers
 
RDA (Resource Description & Access)
RDA (Resource Description & Access)RDA (Resource Description & Access)
RDA (Resource Description & Access)
 
UNC visit
UNC visitUNC visit
UNC visit
 
THGenius, rdf and open linked data for thesaurus management
THGenius, rdf and open linked data for thesaurus managementTHGenius, rdf and open linked data for thesaurus management
THGenius, rdf and open linked data for thesaurus management
 
Repositories and the wider context
Repositories and the wider contextRepositories and the wider context
Repositories and the wider context
 
RDA from Scratch for Catalogers
RDA from Scratch for CatalogersRDA from Scratch for Catalogers
RDA from Scratch for Catalogers
 
Building the new open linked library: Theory and Practice
Building the new open linked library: Theory and PracticeBuilding the new open linked library: Theory and Practice
Building the new open linked library: Theory and Practice
 
April 8 NISO Webinar: Experimenting with BIBFRAME: Reports from Early Adopters
April 8 NISO Webinar: Experimenting with BIBFRAME: Reports from Early AdoptersApril 8 NISO Webinar: Experimenting with BIBFRAME: Reports from Early Adopters
April 8 NISO Webinar: Experimenting with BIBFRAME: Reports from Early Adopters
 
FRBR model by Gaurav Boudh
FRBR model by Gaurav BoudhFRBR model by Gaurav Boudh
FRBR model by Gaurav Boudh
 
Charleston 2012 - The Future of Serials in a Linked Data World
Charleston 2012 - The Future of Serials in a Linked Data WorldCharleston 2012 - The Future of Serials in a Linked Data World
Charleston 2012 - The Future of Serials in a Linked Data World
 
CNI fall 2009 enhanced publications john_doove-SURFfoundation
CNI fall 2009 enhanced publications john_doove-SURFfoundationCNI fall 2009 enhanced publications john_doove-SURFfoundation
CNI fall 2009 enhanced publications john_doove-SURFfoundation
 

More from Jakob .

Linking Folksonomies to Knowledge Organization Systems
Linking Folksonomies to Knowledge Organization SystemsLinking Folksonomies to Knowledge Organization Systems
Linking Folksonomies to Knowledge Organization Systems
Jakob .
 
Libraries in a data-centered environment
Libraries in a data-centered environmentLibraries in a data-centered environment
Libraries in a data-centered environment
Jakob .
 
Was gibt's wie und wo? Informationen zu Standorten, Exemplaren und Dienstleis...
Was gibt's wie und wo? Informationen zu Standorten, Exemplaren und Dienstleis...Was gibt's wie und wo? Informationen zu Standorten, Exemplaren und Dienstleis...
Was gibt's wie und wo? Informationen zu Standorten, Exemplaren und Dienstleis...Jakob .
 
FRBR light with Simplified Ontology for Bibliographic Resource
FRBR light with Simplified Ontology for Bibliographic ResourceFRBR light with Simplified Ontology for Bibliographic Resource
FRBR light with Simplified Ontology for Bibliographic Resource
Jakob .
 
RDF-Daten in eigenen Anwendungen nutzen
RDF-Daten in eigenen Anwendungen nutzenRDF-Daten in eigenen Anwendungen nutzen
RDF-Daten in eigenen Anwendungen nutzen
Jakob .
 
Linked Data Light - Linkaggregation mit BEACON
Linked Data Light - Linkaggregation mit BEACONLinked Data Light - Linkaggregation mit BEACON
Linked Data Light - Linkaggregation mit BEACON
Jakob .
 
Revealing digital documents - concealed structures in data
Revealing digital documents - concealed structures in dataRevealing digital documents - concealed structures in data
Revealing digital documents - concealed structures in data
Jakob .
 
Wie kommen unsere Sacherschließungsdaten ins Semantic Web? Vom lokalen Normda...
Wie kommen unsere Sacherschließungsdaten ins Semantic Web? Vom lokalen Normda...Wie kommen unsere Sacherschließungsdaten ins Semantic Web? Vom lokalen Normda...
Wie kommen unsere Sacherschließungsdaten ins Semantic Web? Vom lokalen Normda...
Jakob .
 
Herausforderungen und Lösungen bei der Publikation und Nutzung von Normdaten ...
Herausforderungen und Lösungen bei der Publikation und Nutzung von Normdaten ...Herausforderungen und Lösungen bei der Publikation und Nutzung von Normdaten ...
Herausforderungen und Lösungen bei der Publikation und Nutzung von Normdaten ...
Jakob .
 
Linked Data: Die Zukunft der Nutzung von Katalogdaten
Linked Data: Die Zukunft der Nutzung von KatalogdatenLinked Data: Die Zukunft der Nutzung von Katalogdaten
Linked Data: Die Zukunft der Nutzung von Katalogdaten
Jakob .
 
We were promised Xanadu
We were promised XanaduWe were promised Xanadu
We were promised Xanadu
Jakob .
 
Quick introduction to the Citation Style Language (CSL)
Quick introduction to the Citation Style Language (CSL)Quick introduction to the Citation Style Language (CSL)
Quick introduction to the Citation Style Language (CSL)
Jakob .
 
Semantic Web und Linked Open Data. Eine Bibliothekarische Geschichte
Semantic Web und Linked Open Data. Eine Bibliothekarische GeschichteSemantic Web und Linked Open Data. Eine Bibliothekarische Geschichte
Semantic Web und Linked Open Data. Eine Bibliothekarische Geschichte
Jakob .
 
Die Bibliographic Ontology als Nachfolger bibliographischer Datenformate?
Die Bibliographic Ontology als Nachfolger bibliographischer Datenformate?Die Bibliographic Ontology als Nachfolger bibliographischer Datenformate?
Die Bibliographic Ontology als Nachfolger bibliographischer Datenformate?
Jakob .
 
Einführung in das Semantic Web
Einführung in das Semantic WebEinführung in das Semantic Web
Einführung in das Semantic Web
Jakob .
 
Wikipedia as Knowledge Organization System
Wikipedia as Knowledge Organization SystemWikipedia as Knowledge Organization System
Wikipedia as Knowledge Organization System
Jakob .
 
Einheitlichen Kodierung von Verfügbarkeitsinformationen mit DAIA
Einheitlichen Kodierung von Verfügbarkeitsinformationen mit DAIAEinheitlichen Kodierung von Verfügbarkeitsinformationen mit DAIA
Einheitlichen Kodierung von Verfügbarkeitsinformationen mit DAIA
Jakob .
 
Wikipedia as source of collaboratively created Knowledge Organization Systems
Wikipedia as source of collaboratively created Knowledge Organization SystemsWikipedia as source of collaboratively created Knowledge Organization Systems
Wikipedia as source of collaboratively created Knowledge Organization Systems
Jakob .
 
Defining Availability with the Document Availability Information API (DAIA)
Defining Availability with the Document Availability Information API (DAIA)Defining Availability with the Document Availability Information API (DAIA)
Defining Availability with the Document Availability Information API (DAIA)
Jakob .
 
Mapping Bibliographic Records with Bibliographic Hash Keys
Mapping Bibliographic Records with Bibliographic Hash KeysMapping Bibliographic Records with Bibliographic Hash Keys
Mapping Bibliographic Records with Bibliographic Hash Keys
Jakob .
 

More from Jakob . (20)

Linking Folksonomies to Knowledge Organization Systems
Linking Folksonomies to Knowledge Organization SystemsLinking Folksonomies to Knowledge Organization Systems
Linking Folksonomies to Knowledge Organization Systems
 
Libraries in a data-centered environment
Libraries in a data-centered environmentLibraries in a data-centered environment
Libraries in a data-centered environment
 
Was gibt's wie und wo? Informationen zu Standorten, Exemplaren und Dienstleis...
Was gibt's wie und wo? Informationen zu Standorten, Exemplaren und Dienstleis...Was gibt's wie und wo? Informationen zu Standorten, Exemplaren und Dienstleis...
Was gibt's wie und wo? Informationen zu Standorten, Exemplaren und Dienstleis...
 
FRBR light with Simplified Ontology for Bibliographic Resource
FRBR light with Simplified Ontology for Bibliographic ResourceFRBR light with Simplified Ontology for Bibliographic Resource
FRBR light with Simplified Ontology for Bibliographic Resource
 
RDF-Daten in eigenen Anwendungen nutzen
RDF-Daten in eigenen Anwendungen nutzenRDF-Daten in eigenen Anwendungen nutzen
RDF-Daten in eigenen Anwendungen nutzen
 
Linked Data Light - Linkaggregation mit BEACON
Linked Data Light - Linkaggregation mit BEACONLinked Data Light - Linkaggregation mit BEACON
Linked Data Light - Linkaggregation mit BEACON
 
Revealing digital documents - concealed structures in data
Revealing digital documents - concealed structures in dataRevealing digital documents - concealed structures in data
Revealing digital documents - concealed structures in data
 
Wie kommen unsere Sacherschließungsdaten ins Semantic Web? Vom lokalen Normda...
Wie kommen unsere Sacherschließungsdaten ins Semantic Web? Vom lokalen Normda...Wie kommen unsere Sacherschließungsdaten ins Semantic Web? Vom lokalen Normda...
Wie kommen unsere Sacherschließungsdaten ins Semantic Web? Vom lokalen Normda...
 
Herausforderungen und Lösungen bei der Publikation und Nutzung von Normdaten ...
Herausforderungen und Lösungen bei der Publikation und Nutzung von Normdaten ...Herausforderungen und Lösungen bei der Publikation und Nutzung von Normdaten ...
Herausforderungen und Lösungen bei der Publikation und Nutzung von Normdaten ...
 
Linked Data: Die Zukunft der Nutzung von Katalogdaten
Linked Data: Die Zukunft der Nutzung von KatalogdatenLinked Data: Die Zukunft der Nutzung von Katalogdaten
Linked Data: Die Zukunft der Nutzung von Katalogdaten
 
We were promised Xanadu
We were promised XanaduWe were promised Xanadu
We were promised Xanadu
 
Quick introduction to the Citation Style Language (CSL)
Quick introduction to the Citation Style Language (CSL)Quick introduction to the Citation Style Language (CSL)
Quick introduction to the Citation Style Language (CSL)
 
Semantic Web und Linked Open Data. Eine Bibliothekarische Geschichte
Semantic Web und Linked Open Data. Eine Bibliothekarische GeschichteSemantic Web und Linked Open Data. Eine Bibliothekarische Geschichte
Semantic Web und Linked Open Data. Eine Bibliothekarische Geschichte
 
Die Bibliographic Ontology als Nachfolger bibliographischer Datenformate?
Die Bibliographic Ontology als Nachfolger bibliographischer Datenformate?Die Bibliographic Ontology als Nachfolger bibliographischer Datenformate?
Die Bibliographic Ontology als Nachfolger bibliographischer Datenformate?
 
Einführung in das Semantic Web
Einführung in das Semantic WebEinführung in das Semantic Web
Einführung in das Semantic Web
 
Wikipedia as Knowledge Organization System
Wikipedia as Knowledge Organization SystemWikipedia as Knowledge Organization System
Wikipedia as Knowledge Organization System
 
Einheitlichen Kodierung von Verfügbarkeitsinformationen mit DAIA
Einheitlichen Kodierung von Verfügbarkeitsinformationen mit DAIAEinheitlichen Kodierung von Verfügbarkeitsinformationen mit DAIA
Einheitlichen Kodierung von Verfügbarkeitsinformationen mit DAIA
 
Wikipedia as source of collaboratively created Knowledge Organization Systems
Wikipedia as source of collaboratively created Knowledge Organization SystemsWikipedia as source of collaboratively created Knowledge Organization Systems
Wikipedia as source of collaboratively created Knowledge Organization Systems
 
Defining Availability with the Document Availability Information API (DAIA)
Defining Availability with the Document Availability Information API (DAIA)Defining Availability with the Document Availability Information API (DAIA)
Defining Availability with the Document Availability Information API (DAIA)
 
Mapping Bibliographic Records with Bibliographic Hash Keys
Mapping Bibliographic Records with Bibliographic Hash KeysMapping Bibliographic Records with Bibliographic Hash Keys
Mapping Bibliographic Records with Bibliographic Hash Keys
 

Recently uploaded

Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI modelsInfrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
Zilliz
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
panagenda
 
Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte WebinarFueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
Zilliz
 
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc
 
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024
Jason Packer
 
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxOcean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
SitimaJohn
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Zilliz
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
akankshawande
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Edge AI and Vision Alliance
 
“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”
Claudio Di Ciccio
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
Octavian Nadolu
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Tosin Akinosho
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Pixlogix Infotech
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of GermanyPresentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
innovationoecd
 
Mariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceXMariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceX
Mariano Tinti
 
CAKE: Sharing Slices of Confidential Data on Blockchain
CAKE: Sharing Slices of Confidential Data on BlockchainCAKE: Sharing Slices of Confidential Data on Blockchain
CAKE: Sharing Slices of Confidential Data on Blockchain
Claudio Di Ciccio
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Zilliz
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Kumud Singh
 
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracyGraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Tomaz Bratanic
 

Recently uploaded (20)

Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI modelsInfrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
 
Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte WebinarFueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
 
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy Survey
 
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024
 
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxOcean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
 
“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of GermanyPresentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
 
Mariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceXMariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceX
 
CAKE: Sharing Slices of Confidential Data on Blockchain
CAKE: Sharing Slices of Confidential Data on BlockchainCAKE: Sharing Slices of Confidential Data on Blockchain
CAKE: Sharing Slices of Confidential Data on Blockchain
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
 
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracyGraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
 

On the Way to a Holding Ontology

  • 1. Zeitschriftendatenbank On the way to a Holding Ontology DINI KIM WG Holdings Carsten Klee Jakob Voß
  • 2. Cow path is paved Zeitschriftendatenbank  More & more RDF data from libraries and related organizations  Good guidelines (W3C LLD, Working Group Titles best practice guide, LLD Book)  ..but no descriptions of holding
  • 3. Why holdings? Zeitschriftendatenbank  Use cases  Final Report 25 October 2011 (W3C LLD Incubator Group)  Open Bibliographic Data Guide (JISC / UK RDTF)
  • 4. Use case 1 & 2 Zeitschriftendatenbank The supply of records containing holdings data to a shared service 1. in order to support collection management. 2. in order to enhance discovery, location and delivery services.
  • 5. Use case 3 & 4 Zeitschriftendatenbank 3. Expose bibliographic data including holdings and potentially availability  that can be used to provide a closest copy location service. 4. Creating the opportunity for third parties  to develop local and wider services of value  some of which may potentially drive increased attention and traffic back to the library and its holdings. By MJ Suhonos - MyTPL iPhone App
  • 6. Use case 5 Zeitschriftendatenbank 5. Search engines having greater knowledge of institutional holdings
  • 7. Working Group Holdings Zeitschriftendatenbank  founded in April 2013  Mailinglist dini-ag-kim-bestandsdaten@lists.dnb.de  Wiki https://wiki.dnb.de/x/johZB  GitHub https://github.com/organizations/dini-ag-kim/teams/448741  Discussion in English
  • 8. What are our goals? Zeitschriftendatenbank  Best Practice Guide  how to publish holding data in RDF  reuse of existing vocabularies  examples and mappings based on existing data and formats (MARC, PICA)
  • 9. Analysis of Standards/Formats related to holdings Zeitschriftendatenbank  Standards/Formats  ISO 20775  ISO 18626 Interlibrary Loan Transactions  Holdings Statements for Bibliographic Items Z39.71-2006  MARC21 Holdings  ZETA
  • 10. Analysis of Ontologies and Vocabularies related to holdings Zeitschriftendatenbank  Ontologies/Vocabularies  Document Availability Information API (DAIA)  Document Service Ontology (DSO)  Simple Service Status Ontology (SSSO)  Enumeration and Chronology of Periodicals Ontology (ECPO)  Bibframe Holding Vocabulary  ONIX-SOH Serials Online Holdings  ONIX for Serials Coverage Statement  Interlibrary loan code  GLAM Item Ontology  Library Holdings RDF Vocabulary  Erlangen CRM  DC Terms, FOAF, Good Relations etc.
  • 11. What hinders you from contributing to the holdings group? Github is a hurdle Zeitschriftendatenbank Discussion level to high Within discussion I don't feel addressed Unprofessional group management Other reasons Working status unknown/unclear I intended to be a passive reader English is a hurdle 0 1 2 Votes  90 postings by 9 of 36 subscribers since April 3 4
  • 12. And now? You are welcome to contribute to the group! Zeitschriftendatenbank via http://lists.dnb.de/mailman/listinfo/dini-ag-kimbestandsdaten or https://github.com/dini-ag-kim/holding-ontology - is your data covered by the Holding Ontology? - provide RDF examples https://github.com/dini-ag-kim/holding-ontology-examples
  • 13. What kind of holding data? Holding Ontology should enable to clearly answer: 1. 2. 3. 4. 5. 6. What holdings does a library have? What documents are included in or exemplified by a holding? What can patrons do with a holding? Where is a holding located? What are unique properties of a holding? What is a patron doing with a holding? Clarify fuzzy terms terms such as holding, document, copy, item, piece, copy, . . .
  • 14. Core Concepts (1/2) Why create new RDF classes? Reuse existing ones! frbr:Item an exemplar/copy of a document (aka holding) bibo:Document = foaf:Document an abstract or concrete work which an frbr:Item is exemplar of foaf:Agent a person or organization (a library, a patron. . . ) schema:Place = gr:Location a place or location (a library building, a floor, a stack. . . )
  • 15. Core Concepts (2/2) Why put everything in one ontology? Create micro-ontologies! dso:DocumentService a service that includes a document (lending, accessing, copying. . . ) ssso:ServiceEvent a service that is also an event (e.g. lending of item X by patron Y during time Z) ecpo:Chronology enumerations and chronology of a periodical or series (e.g. volume 5, issue 3 till now) Here “a service that” refers to service:Service defined in the Service Ontology to describe services both abstract and concrete.
  • 16. Micro-Ontologies (classes/properties/individuals) Service Ontology (4/8/0) http://dini-ag-kim.github.io/service-ontology/ Document Service Ontology (DSO) (5/2/0) http://purl.org/ontology/dso Simple Service Status Ontology (SSSO) (8/2/0) http://purl.org/ontology/ssso Holding Ontology (0/10/0) http://dini-ag-kim.github.io/holding-ontology/ Enumeration and Chronology of Periodicals Ontology (ECPO) (3/29/2) http://purl.org/ontology/ecpo DAIA Ontology (DAIA) (0/4/0) http://gbv.github.io/daiaspec PAIA Ontology (PAIA) (2/1/2) http://purl.org/ontology/paia
  • 17. What kind of holding data? (1/2) 1. What holdings does a library have? $library a foaf:Agent ; holding:holds [ a frbr:Item ] . This alone does not imply services (see 3.) 2. What documents are included/exemplified by a holding? $holding a frbr:Item; holding:exemplar [ a bibo:Document ] . $holding a frbr:Item; ecpo:hasChronolgy [ a ecpo:Chronology ]. Part/whole relationships: dcterms:hasPart, holding:narrowerExemplar. . . 3. What can patrons do with a holding? Services and Offerings that include holding items (daia:availableFor, service:providedBy. . . )
  • 18. What kind of holding data? (1/2) 4. Where is a holding located? $holding a frbr:Item ; schema:location $place ; holding:inCollection $col . $o a schema:Offer ; gr:includesObject $holding ; schema:availableAtOrFrom $place . ...? 5. What are unique properties of a holding? holding:label (aka call number, shelf mark. . . ) 6. What is a patron doing with a holding? holdings currently on loan or reserved expressible with PAIA ontology and Simple Service Status Ontology.
  • 19. Summary The holding ontology combines existing ontologies (BibO, FOAF, GoodRelations, Schema.org) new micro-ontologies (DSO, SSSO, ECPO, DAIA, Service) and a couple of holding ontology properties to all RDF terms required to describe holding information. work in progress, feedback welcome! https://github.com/dini-ag-kim/holding-ontology