SlideShare une entreprise Scribd logo
1  sur  19
Télécharger pour lire hors ligne
www.in2n.de
IN2N: Cross-institutional Authority
Collaboration
Alexander Haffner (DNB)
The IN2N Project
 research project, executed in cooperation with:
 the German National Library and
 the German Film Institute
 duration
 December 2012 - December 2014
 financially supported by the German Research Foundation
IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
Authority Collaboration in the German-speaking
Library Community
 collaborative maintaining and linking authority data are essential
components of descriptive and subject cataloguing
 Integrated Authority File (Gemeinsame Normdatei, GND)
 more than 10 million authority entries
 describing persons, corporate bodies, conferences and events, places or
geographic names, topics, and works
 aligned to VIAF, German Wikipedia etc.
 accessible as Linked Open Data
 BUT
 data exchange based on harvesting strategies
 data model and data formats are very library specific
 non-library organizations are almost excluded
IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
Cross-institutional Authority Collaboration
 assumption: authority data from libraries can support the organization of
data from other major players
 arising questions from the library perspective:
1. Are there stakeholders that do the same work as libraries, and maybe even
better?
2. How can the work be shared?
3. What collaboration models have to be established for partners from new
domains to be able to participate in the authority maintenance process of
libraries?
4. Are we already fulfilling all the technical and organizational requirements for
successful collaboration?
IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
IN2N Objectives
 initial alignment and linking of the existing authority entries for persons in
filmportal.de (180.000) and GND (2.9 million)
 establishment of an organizational and technical web-based
infrastructure for data exchange based on differentiating
 storage systems,
 data formats, and
 data models
 development of a generalized collaboration model for working with
further non-library cooperation partners
 use of Linked Open Data
IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
Major Phases for an Active Collaboration
1. initial data match between the partners„ data set and the GND data, and a
succeeding bi-directional data import from information missed in the
respective data stock
2. cataloging routine via a web interface to perform GND queries in real-time
and to update GND entries by transmitting differences to the currently
stored data entry
IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
Phase 1: Initial Match&Merge
Initial Match
Module
DNB DIF
GND
film-
portal
Intellectual
Consolidation
GND
Merge
Module
filmportal
Merge
Module
IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
Phase 1: Initial Match
 match characteristics
 entityType, name, dateOfBirth, dateOfDeath, gender, placeOfBirth,
placeOfDeath, occupation
 match results can be divided into:
1. Exact equivalence between two persons,
2. Potential equivalences between persons, or
3. No equivalence to the corresponding dataset.
IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
3
1 2
identify criteria for
class membership
Phase 1: Improvement of the Match Process
 match process evaluation
 iterative configuration of the match algorithm
 enriching the GND dataset with third party information
 German Wikipedia as discovery aid
 comprises 250.000 GND references
 provides person's filmographic information
 executed an equivalence check between filmportal.de information and
Wikipedia‟s person templates as well as article texts
 discovered more than 10,000 GND matches
 Culturegraph‟s Metafacture Framework
http://github.com/culturegraph/metafacture-core/wiki
 powerful tool suite for metadata processing
IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
Phase 1: Intellectual
Consolidation
 easy to handle user interface
to make quick equivalence
decisions
 Web UI with person‟s main
characteristics and match
score assignments
 links for further research
 i.e. filmportal.de, GND,
Wikipedia, VIAF
 re-use of EntityFacts
IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
Phase 1: Initial Data Import
 merge characteristics complementing the match characteristics
 titleOfNobility, academicDegree, periodOfActivity, affiliation,
geographicAreaCode, biographicalOrHistoricalInformation, homepage,
contributedWork, externalIdentifier
 partners have different needs with regard to the data ingest
 i. e. deviations in cataloging rules, controlled values
 consequence: institutional responsibility for data ingest
 DNB as responsible party for the GND has to define access restrictions
 it is allowed to overwrite a date of birth but not to delete an existing one
 if place of birth contains a link to a geographic entry it is not allowed to
replace it by a literal information
 …
IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
Phase 2: Cataloging Routine via the Web
 goal
 lower the threshold for the implementation of non-library editorial systems
accessing the GND as their authority reference system
 providing a simple and efficient GND search as well as update interface
 data format
 limited data set (approx. 25 elements for persons)
 self-explanatory element names
 property-based search functionality on GND data
 use of widely applied standards
 updates without knowledge of the complete corresponding GND record
 incremental approach vs. record based approach
IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
Phase 2: Use Case
IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
filmportaleditorialsystem
GNDdatastock
remote search via the person‘s name
partial data ingest into local database
data adaptation by the editor
transmission of changes
local person search by
editor without success
result set transmission
editor selects entry from result set
Phase 2: Applicable Data Formats
EAC-CPF/XML
GND-MARC-
Format
BIBFRAME
for Authorities
RDA
Vocabularies
GND/RDF
?
IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
Phase 2: Update Interface on Property Level
 REST-Interface with a JSON transmission format
 operations
 add, change, and delete
PUT uri=”http://d-nb.info/gnd/129952788”
add name(name.forename=”Wolke A.”; name.surname=”Hegenbarth”)
add dateOfBirth(dateOfBirth.year=“1980”; dateOfBirth.month=”05”;
dateOfBirth.day=”06”)
add placeOfBirth=”Meerbusch, Deutschland”
PUT uri=”http://d-nb.info/gnd/129952788”
change
name(name.forename=”Wolke A.”; name.surname=”Hegenbarth”)
name(name.forename=”Wolke Alma”; name.surname=”Hegenbarth”)
change
placeOfBirth=”Meerbusch, Deutschland”
placeOfBirthUri=”http://d-nb.info/gnd/2029013-5”
IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
Cross-Dataset Search
 Culturegraph.org
 acts as datahub for searching and browsing
 analyzes major bibliographic catalogs and crosslinking data to make
equivalences and relationships available
 authority data as access points
 IN2N will support the platform in order to benefit from its developments
 providing authority data, bibliographic and filmographic data
 re-use of Culturegraph‟s REST interface for search
 dynamically result integration into local catalog‟s representation
 usability evaluation
 find the right balance between local and remote information
 increasing the user‟s search success
IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
Timeline
 2013
 implementation of match environment
 implementation of property-based update interface
 GND Change Notifier
 1st Quarter 2014
 Web-UI for intellectual consolidation
 initial startup of the extended filmportal.de editorial system
 RDF representation for entries from filmportal.de
 3rd Quarter 2014
 cross-dataset search
 acquiring additional partners
IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
Conclusion
 cross-institutional collaboration on independent and different database
systems and data formats is possible
 inconsistent data models can cause substantial problems
 customization sometimes is necessary
 highly granular data supports the collaboration
 decisions to be made by libraries
 How valuable is “library rules compliant data”?
 Are we prepared to compromise?
 Are we already open-minded enough to let external partners touch our data?
IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
Vielen Dank!
discussion is welcome…
www.in2n.de
Alexander Haffner
German National Library
a.haffner@dnb.de
IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013

Contenu connexe

Tendances

Adoption of the Linked Data Best Practices in Different Topical Domains
Adoption of the Linked Data Best Practices in Different Topical DomainsAdoption of the Linked Data Best Practices in Different Topical Domains
Adoption of the Linked Data Best Practices in Different Topical DomainsChris Bizer
 
The Graph Structure of the Web - Aggregated by Pay-Level Domain
The Graph Structure of the Web - Aggregated by Pay-Level DomainThe Graph Structure of the Web - Aggregated by Pay-Level Domain
The Graph Structure of the Web - Aggregated by Pay-Level Domainoli-unima
 
DBpedia - An Interlinking Hub in the Web of Data
DBpedia - An Interlinking Hub in the Web of DataDBpedia - An Interlinking Hub in the Web of Data
DBpedia - An Interlinking Hub in the Web of DataChris Bizer
 
Ligado nos Políticos at ESWC'2011 Workshop
Ligado nos Políticos at ESWC'2011 WorkshopLigado nos Políticos at ESWC'2011 Workshop
Ligado nos Políticos at ESWC'2011 WorkshopPablo Mendes
 
Mining the Web of Linked Data with RapidMiner
Mining the Web of Linked Data with RapidMinerMining the Web of Linked Data with RapidMiner
Mining the Web of Linked Data with RapidMinerHeiko Paulheim
 
Semantic Security : Authorization on the Web with Ontologies
Semantic Security : Authorization on the Web with OntologiesSemantic Security : Authorization on the Web with Ontologies
Semantic Security : Authorization on the Web with OntologiesAmit Jain
 
Designing a second generation of open data platforms
Designing a second generation of open data platformsDesigning a second generation of open data platforms
Designing a second generation of open data platformsYannis Charalabidis
 
Accelerating biomedical discovery with an Internet of FAIR data and services ...
Accelerating biomedical discovery with an Internet of FAIR data and services ...Accelerating biomedical discovery with an Internet of FAIR data and services ...
Accelerating biomedical discovery with an Internet of FAIR data and services ...Platform Linked Data Netherlands (PLDN)
 
Extending Tables with Data from over a Million Websites
 Extending Tables with Data from over a Million Websites Extending Tables with Data from over a Million Websites
Extending Tables with Data from over a Million WebsitesChris Bizer
 
The technical case for a semantic web
The technical case for a semantic webThe technical case for a semantic web
The technical case for a semantic webTony Dobaj
 
The CSO Open Data Experience
The CSO Open Data ExperienceThe CSO Open Data Experience
The CSO Open Data ExperienceDublinked .
 
OKFN Korea 소개자료
OKFN Korea 소개자료OKFN Korea 소개자료
OKFN Korea 소개자료Haklae Kim
 
Web Data Extraction: A Crash Course
Web Data Extraction: A Crash CourseWeb Data Extraction: A Crash Course
Web Data Extraction: A Crash CourseGiorgio Orsi
 

Tendances (20)

Adoption of the Linked Data Best Practices in Different Topical Domains
Adoption of the Linked Data Best Practices in Different Topical DomainsAdoption of the Linked Data Best Practices in Different Topical Domains
Adoption of the Linked Data Best Practices in Different Topical Domains
 
The Graph Structure of the Web - Aggregated by Pay-Level Domain
The Graph Structure of the Web - Aggregated by Pay-Level DomainThe Graph Structure of the Web - Aggregated by Pay-Level Domain
The Graph Structure of the Web - Aggregated by Pay-Level Domain
 
DBpedia - An Interlinking Hub in the Web of Data
DBpedia - An Interlinking Hub in the Web of DataDBpedia - An Interlinking Hub in the Web of Data
DBpedia - An Interlinking Hub in the Web of Data
 
Linking Open Data
Linking Open DataLinking Open Data
Linking Open Data
 
Linked data life cycles
Linked data life cyclesLinked data life cycles
Linked data life cycles
 
Ligado nos Políticos at ESWC'2011 Workshop
Ligado nos Políticos at ESWC'2011 WorkshopLigado nos Políticos at ESWC'2011 Workshop
Ligado nos Políticos at ESWC'2011 Workshop
 
Mining the Web of Linked Data with RapidMiner
Mining the Web of Linked Data with RapidMinerMining the Web of Linked Data with RapidMiner
Mining the Web of Linked Data with RapidMiner
 
The Semantic Data Web, Sören Auer, University of Leipzig
The Semantic Data Web, Sören Auer, University of LeipzigThe Semantic Data Web, Sören Auer, University of Leipzig
The Semantic Data Web, Sören Auer, University of Leipzig
 
Semantic Security : Authorization on the Web with Ontologies
Semantic Security : Authorization on the Web with OntologiesSemantic Security : Authorization on the Web with Ontologies
Semantic Security : Authorization on the Web with Ontologies
 
WCIT2010
WCIT2010WCIT2010
WCIT2010
 
Designing a second generation of open data platforms
Designing a second generation of open data platformsDesigning a second generation of open data platforms
Designing a second generation of open data platforms
 
Accelerating biomedical discovery with an Internet of FAIR data and services ...
Accelerating biomedical discovery with an Internet of FAIR data and services ...Accelerating biomedical discovery with an Internet of FAIR data and services ...
Accelerating biomedical discovery with an Internet of FAIR data and services ...
 
Extending Tables with Data from over a Million Websites
 Extending Tables with Data from over a Million Websites Extending Tables with Data from over a Million Websites
Extending Tables with Data from over a Million Websites
 
The technical case for a semantic web
The technical case for a semantic webThe technical case for a semantic web
The technical case for a semantic web
 
The CSO Open Data Experience
The CSO Open Data ExperienceThe CSO Open Data Experience
The CSO Open Data Experience
 
OKFN Korea 소개자료
OKFN Korea 소개자료OKFN Korea 소개자료
OKFN Korea 소개자료
 
Seminar - OpenData
Seminar - OpenDataSeminar - OpenData
Seminar - OpenData
 
Ice dec04-04-sammy
Ice dec04-04-sammyIce dec04-04-sammy
Ice dec04-04-sammy
 
Introduction to linked data
Introduction to linked dataIntroduction to linked data
Introduction to linked data
 
Web Data Extraction: A Crash Course
Web Data Extraction: A Crash CourseWeb Data Extraction: A Crash Course
Web Data Extraction: A Crash Course
 

En vedette

Collaborative Maintenance of Semantic Networks - Present or Future?
Collaborative Maintenance of Semantic Networks - Present or Future?Collaborative Maintenance of Semantic Networks - Present or Future?
Collaborative Maintenance of Semantic Networks - Present or Future?Alexander Haffner
 
IN2N – Idee, Produkte und Kooperationsmodelle
IN2N – Idee, Produkte und KooperationsmodelleIN2N – Idee, Produkte und Kooperationsmodelle
IN2N – Idee, Produkte und KooperationsmodelleAlexander Haffner
 
Kooperative Normdatenpflege auf Basis von GND/RDF
Kooperative Normdatenpflege auf Basis von GND/RDFKooperative Normdatenpflege auf Basis von GND/RDF
Kooperative Normdatenpflege auf Basis von GND/RDFAlexander Haffner
 
Normdaten - die Aggregatoren im Web
Normdaten - die Aggregatoren im WebNormdaten - die Aggregatoren im Web
Normdaten - die Aggregatoren im WebAlexander Haffner
 
Institutionenübergreifende Integration von Normdaten
Institutionenübergreifende Integration von NormdatenInstitutionenübergreifende Integration von Normdaten
Institutionenübergreifende Integration von NormdatenAlexander Haffner
 
Die GND und ihr Weg in das Semantic Web
Die GND und ihr Weg in das Semantic WebDie GND und ihr Weg in das Semantic Web
Die GND und ihr Weg in das Semantic WebAlexander Haffner
 
Metadatenprofile auf RDA-Basis
Metadatenprofile auf RDA-BasisMetadatenprofile auf RDA-Basis
Metadatenprofile auf RDA-BasisAlexander Haffner
 
Integration of Accessible Documents into Digital Libraries of Tomorrow
Integration of Accessible Documents into Digital Libraries of TomorrowIntegration of Accessible Documents into Digital Libraries of Tomorrow
Integration of Accessible Documents into Digital Libraries of TomorrowAlexander Haffner
 
Stem to the Core TETC 2012
Stem to the Core TETC 2012Stem to the Core TETC 2012
Stem to the Core TETC 2012Jennifer Malone
 
Common core, technology, & pbl final
Common core, technology, & pbl finalCommon core, technology, & pbl final
Common core, technology, & pbl finalJennifer Malone
 
Enabling Accessible Resource Access via Service Providers
Enabling Accessible Resource Access via Service ProvidersEnabling Accessible Resource Access via Service Providers
Enabling Accessible Resource Access via Service ProvidersAlexander Haffner
 

En vedette (20)

Collaborative Maintenance of Semantic Networks - Present or Future?
Collaborative Maintenance of Semantic Networks - Present or Future?Collaborative Maintenance of Semantic Networks - Present or Future?
Collaborative Maintenance of Semantic Networks - Present or Future?
 
Die GND im Semantic Web
Die GND im Semantic WebDie GND im Semantic Web
Die GND im Semantic Web
 
IN2N – Idee, Produkte und Kooperationsmodelle
IN2N – Idee, Produkte und KooperationsmodelleIN2N – Idee, Produkte und Kooperationsmodelle
IN2N – Idee, Produkte und Kooperationsmodelle
 
Kooperative Normdatenpflege auf Basis von GND/RDF
Kooperative Normdatenpflege auf Basis von GND/RDFKooperative Normdatenpflege auf Basis von GND/RDF
Kooperative Normdatenpflege auf Basis von GND/RDF
 
Normdaten - die Aggregatoren im Web
Normdaten - die Aggregatoren im WebNormdaten - die Aggregatoren im Web
Normdaten - die Aggregatoren im Web
 
Institutionenübergreifende Integration von Normdaten
Institutionenübergreifende Integration von NormdatenInstitutionenübergreifende Integration von Normdaten
Institutionenübergreifende Integration von Normdaten
 
RDA und Normdaten
RDA und NormdatenRDA und Normdaten
RDA und Normdaten
 
Die GND und ihr Weg in das Semantic Web
Die GND und ihr Weg in das Semantic WebDie GND und ihr Weg in das Semantic Web
Die GND und ihr Weg in das Semantic Web
 
Blogi
BlogiBlogi
Blogi
 
Metadatenprofile auf RDA-Basis
Metadatenprofile auf RDA-BasisMetadatenprofile auf RDA-Basis
Metadatenprofile auf RDA-Basis
 
Integration of Accessible Documents into Digital Libraries of Tomorrow
Integration of Accessible Documents into Digital Libraries of TomorrowIntegration of Accessible Documents into Digital Libraries of Tomorrow
Integration of Accessible Documents into Digital Libraries of Tomorrow
 
Do gry miejskiej2
Do gry miejskiej2Do gry miejskiej2
Do gry miejskiej2
 
ITAAT
ITAATITAAT
ITAAT
 
Linked Library Data @ DNB
Linked Library Data @ DNBLinked Library Data @ DNB
Linked Library Data @ DNB
 
Generatory chmur wyrazowych
Generatory chmur wyrazowychGeneratory chmur wyrazowych
Generatory chmur wyrazowych
 
Wprowadzenie do e-learningu
Wprowadzenie do e-learninguWprowadzenie do e-learningu
Wprowadzenie do e-learningu
 
Stem to the Core TETC 2012
Stem to the Core TETC 2012Stem to the Core TETC 2012
Stem to the Core TETC 2012
 
Wiki
WikiWiki
Wiki
 
Common core, technology, & pbl final
Common core, technology, & pbl finalCommon core, technology, & pbl final
Common core, technology, & pbl final
 
Enabling Accessible Resource Access via Service Providers
Enabling Accessible Resource Access via Service ProvidersEnabling Accessible Resource Access via Service Providers
Enabling Accessible Resource Access via Service Providers
 

Similaire à IN2N: Cross-institutional Authority Collaboration

Geo know general presentation 2013
Geo know general presentation 2013Geo know general presentation 2013
Geo know general presentation 2013geoknow
 
Wide access to spatial Citizen Science data - ECSA Berlin 2016
Wide access to spatial Citizen Science data - ECSA Berlin 2016Wide access to spatial Citizen Science data - ECSA Berlin 2016
Wide access to spatial Citizen Science data - ECSA Berlin 2016COBWEB Project
 
Proposal for Designing a Linked Data Migrational Framework for Singapore Gove...
Proposal for Designing a Linked Data Migrational Framework for Singapore Gove...Proposal for Designing a Linked Data Migrational Framework for Singapore Gove...
Proposal for Designing a Linked Data Migrational Framework for Singapore Gove...Aravind Sesagiri Raamkumar
 
Debbie Wilson: Deliver More Efficient, Joined-Up Services through Improved Ma...
Debbie Wilson: Deliver More Efficient, Joined-Up Services through Improved Ma...Debbie Wilson: Deliver More Efficient, Joined-Up Services through Improved Ma...
Debbie Wilson: Deliver More Efficient, Joined-Up Services through Improved Ma...AGI Geocommunity
 
2012DESFutureSDIs
2012DESFutureSDIs2012DESFutureSDIs
2012DESFutureSDIssirf13
 
DASIA2009 Yggdrasyll
DASIA2009 YggdrasyllDASIA2009 Yggdrasyll
DASIA2009 YggdrasyllHans de Wolf
 
The open semantic enterprise enterprise data meets web data
The open semantic enterprise   enterprise data meets web dataThe open semantic enterprise   enterprise data meets web data
The open semantic enterprise enterprise data meets web dataGeorg Guentner
 
JABES 2018 - Conférence inaugurale, Jurgen Kett, présentation avec commentaires
JABES 2018 - Conférence inaugurale, Jurgen Kett, présentation avec commentairesJABES 2018 - Conférence inaugurale, Jurgen Kett, présentation avec commentaires
JABES 2018 - Conférence inaugurale, Jurgen Kett, présentation avec commentairesABES
 
Sharing Advisory Board newsletter #8
Sharing Advisory Board newsletter #8Sharing Advisory Board newsletter #8
Sharing Advisory Board newsletter #8Carlo Vaccari
 
Putting the L in front: from Open Data to Linked Open Data
Putting the L in front: from Open Data to Linked Open DataPutting the L in front: from Open Data to Linked Open Data
Putting the L in front: from Open Data to Linked Open DataMartin Kaltenböck
 
Geographic information in govt linked data
Geographic information in govt linked dataGeographic information in govt linked data
Geographic information in govt linked datalinkedlocations
 
Geographic information in govt linked data
Geographic information in govt linked dataGeographic information in govt linked data
Geographic information in govt linked datalinkedlocations
 
02 -how-will-inspire-influence-local-authorities-and-spatial-planning
02 -how-will-inspire-influence-local-authorities-and-spatial-planning02 -how-will-inspire-influence-local-authorities-and-spatial-planning
02 -how-will-inspire-influence-local-authorities-and-spatial-planningKarel Charvat
 
Llinked open data training for EU institutions
Llinked open data training for EU institutionsLlinked open data training for EU institutions
Llinked open data training for EU institutionsOpen Data Support
 
Di d dlf_handout
Di d dlf_handoutDi d dlf_handout
Di d dlf_handoutcwilliford
 

Similaire à IN2N: Cross-institutional Authority Collaboration (20)

Geo know general presentation 2013
Geo know general presentation 2013Geo know general presentation 2013
Geo know general presentation 2013
 
Wide access to spatial Citizen Science data - ECSA Berlin 2016
Wide access to spatial Citizen Science data - ECSA Berlin 2016Wide access to spatial Citizen Science data - ECSA Berlin 2016
Wide access to spatial Citizen Science data - ECSA Berlin 2016
 
Proposal for Designing a Linked Data Migrational Framework for Singapore Gove...
Proposal for Designing a Linked Data Migrational Framework for Singapore Gove...Proposal for Designing a Linked Data Migrational Framework for Singapore Gove...
Proposal for Designing a Linked Data Migrational Framework for Singapore Gove...
 
Debbie Wilson: Deliver More Efficient, Joined-Up Services through Improved Ma...
Debbie Wilson: Deliver More Efficient, Joined-Up Services through Improved Ma...Debbie Wilson: Deliver More Efficient, Joined-Up Services through Improved Ma...
Debbie Wilson: Deliver More Efficient, Joined-Up Services through Improved Ma...
 
2012DESFutureSDIs
2012DESFutureSDIs2012DESFutureSDIs
2012DESFutureSDIs
 
DASIA2009 Yggdrasyll
DASIA2009 YggdrasyllDASIA2009 Yggdrasyll
DASIA2009 Yggdrasyll
 
Linked data migrational framework
Linked data migrational frameworkLinked data migrational framework
Linked data migrational framework
 
The open semantic enterprise enterprise data meets web data
The open semantic enterprise   enterprise data meets web dataThe open semantic enterprise   enterprise data meets web data
The open semantic enterprise enterprise data meets web data
 
Jarrar: Linked Data
Jarrar: Linked DataJarrar: Linked Data
Jarrar: Linked Data
 
JABES 2018 - Conférence inaugurale, Jurgen Kett, présentation avec commentaires
JABES 2018 - Conférence inaugurale, Jurgen Kett, présentation avec commentairesJABES 2018 - Conférence inaugurale, Jurgen Kett, présentation avec commentaires
JABES 2018 - Conférence inaugurale, Jurgen Kett, présentation avec commentaires
 
Sharing Advisory Board newsletter #8
Sharing Advisory Board newsletter #8Sharing Advisory Board newsletter #8
Sharing Advisory Board newsletter #8
 
Putting the L in front: from Open Data to Linked Open Data
Putting the L in front: from Open Data to Linked Open DataPutting the L in front: from Open Data to Linked Open Data
Putting the L in front: from Open Data to Linked Open Data
 
Geographic information in govt linked data
Geographic information in govt linked dataGeographic information in govt linked data
Geographic information in govt linked data
 
Geographic information in govt linked data
Geographic information in govt linked dataGeographic information in govt linked data
Geographic information in govt linked data
 
02 -how-will-inspire-influence-local-authorities-and-spatial-planning
02 -how-will-inspire-influence-local-authorities-and-spatial-planning02 -how-will-inspire-influence-local-authorities-and-spatial-planning
02 -how-will-inspire-influence-local-authorities-and-spatial-planning
 
Llinked open data training for EU institutions
Llinked open data training for EU institutionsLlinked open data training for EU institutions
Llinked open data training for EU institutions
 
Di d dlf_handout
Di d dlf_handoutDi d dlf_handout
Di d dlf_handout
 
Ariadne: Extended CRM
Ariadne: Extended CRMAriadne: Extended CRM
Ariadne: Extended CRM
 
Linked Data
Linked DataLinked Data
Linked Data
 
thesis defense1
thesis defense1thesis defense1
thesis defense1
 

Plus de Alexander Haffner

Linked Data für Sacherschließungsdaten
Linked Data für Sacherschließungsdaten Linked Data für Sacherschließungsdaten
Linked Data für Sacherschließungsdaten Alexander Haffner
 
Linked-RDA-Data in der Praxis
Linked-RDA-Data in der PraxisLinked-RDA-Data in der Praxis
Linked-RDA-Data in der PraxisAlexander Haffner
 
Die Familie der FR-Modelle als Bausteine der RDA
Die Familie der FR-Modelle als Bausteine der RDADie Familie der FR-Modelle als Bausteine der RDA
Die Familie der FR-Modelle als Bausteine der RDAAlexander Haffner
 
Metadatenanreicherung im digitalen Publikationsprozess
Metadatenanreicherung im digitalen PublikationsprozessMetadatenanreicherung im digitalen Publikationsprozess
Metadatenanreicherung im digitalen PublikationsprozessAlexander Haffner
 
Linked Open Data in digitalen Bibliotheken
Linked Open Data in digitalen BibliothekenLinked Open Data in digitalen Bibliotheken
Linked Open Data in digitalen BibliothekenAlexander Haffner
 

Plus de Alexander Haffner (7)

Linked Data für Sacherschließungsdaten
Linked Data für Sacherschließungsdaten Linked Data für Sacherschließungsdaten
Linked Data für Sacherschließungsdaten
 
Linked-RDA-Data in der Praxis
Linked-RDA-Data in der PraxisLinked-RDA-Data in der Praxis
Linked-RDA-Data in der Praxis
 
Die Familie der FR-Modelle als Bausteine der RDA
Die Familie der FR-Modelle als Bausteine der RDADie Familie der FR-Modelle als Bausteine der RDA
Die Familie der FR-Modelle als Bausteine der RDA
 
Linked Library Data & RDA
Linked Library Data & RDALinked Library Data & RDA
Linked Library Data & RDA
 
Metadatenanreicherung im digitalen Publikationsprozess
Metadatenanreicherung im digitalen PublikationsprozessMetadatenanreicherung im digitalen Publikationsprozess
Metadatenanreicherung im digitalen Publikationsprozess
 
Linked Open Data in digitalen Bibliotheken
Linked Open Data in digitalen BibliothekenLinked Open Data in digitalen Bibliotheken
Linked Open Data in digitalen Bibliotheken
 
RDA and the Semantic Web
RDA and the Semantic WebRDA and the Semantic Web
RDA and the Semantic Web
 

Dernier

Patient Counselling. Definition of patient counseling; steps involved in pati...
Patient Counselling. Definition of patient counseling; steps involved in pati...Patient Counselling. Definition of patient counseling; steps involved in pati...
Patient Counselling. Definition of patient counseling; steps involved in pati...raviapr7
 
How to Make a Field read-only in Odoo 17
How to Make a Field read-only in Odoo 17How to Make a Field read-only in Odoo 17
How to Make a Field read-only in Odoo 17Celine George
 
3.26.24 Race, the Draft, and the Vietnam War.pptx
3.26.24 Race, the Draft, and the Vietnam War.pptx3.26.24 Race, the Draft, and the Vietnam War.pptx
3.26.24 Race, the Draft, and the Vietnam War.pptxmary850239
 
SOLIDE WASTE in Cameroon,,,,,,,,,,,,,,,,,,,,,,,,,,,.pptx
SOLIDE WASTE in Cameroon,,,,,,,,,,,,,,,,,,,,,,,,,,,.pptxSOLIDE WASTE in Cameroon,,,,,,,,,,,,,,,,,,,,,,,,,,,.pptx
SOLIDE WASTE in Cameroon,,,,,,,,,,,,,,,,,,,,,,,,,,,.pptxSyedNadeemGillANi
 
Prescribed medication order and communication skills.pptx
Prescribed medication order and communication skills.pptxPrescribed medication order and communication skills.pptx
Prescribed medication order and communication skills.pptxraviapr7
 
How to Create a Toggle Button in Odoo 17
How to Create a Toggle Button in Odoo 17How to Create a Toggle Button in Odoo 17
How to Create a Toggle Button in Odoo 17Celine George
 
How to Manage Cross-Selling in Odoo 17 Sales
How to Manage Cross-Selling in Odoo 17 SalesHow to Manage Cross-Selling in Odoo 17 Sales
How to Manage Cross-Selling in Odoo 17 SalesCeline George
 
EBUS5423 Data Analytics and Reporting Bl
EBUS5423 Data Analytics and Reporting BlEBUS5423 Data Analytics and Reporting Bl
EBUS5423 Data Analytics and Reporting BlDr. Bruce A. Johnson
 
How to Solve Singleton Error in the Odoo 17
How to Solve Singleton Error in the  Odoo 17How to Solve Singleton Error in the  Odoo 17
How to Solve Singleton Error in the Odoo 17Celine George
 
Ultra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptxUltra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptxDr. Asif Anas
 
Department of Health Compounder Question ‍Solution 2022.pdf
Department of Health Compounder Question ‍Solution 2022.pdfDepartment of Health Compounder Question ‍Solution 2022.pdf
Department of Health Compounder Question ‍Solution 2022.pdfMohonDas
 
KARNAADA.pptx made by - saransh dwivedi ( SD ) - SHALAKYA TANTRA - ENT - 4...
KARNAADA.pptx  made by -  saransh dwivedi ( SD ) -  SHALAKYA TANTRA - ENT - 4...KARNAADA.pptx  made by -  saransh dwivedi ( SD ) -  SHALAKYA TANTRA - ENT - 4...
KARNAADA.pptx made by - saransh dwivedi ( SD ) - SHALAKYA TANTRA - ENT - 4...M56BOOKSTORE PRODUCT/SERVICE
 
3.21.24 The Origins of Black Power.pptx
3.21.24  The Origins of Black Power.pptx3.21.24  The Origins of Black Power.pptx
3.21.24 The Origins of Black Power.pptxmary850239
 
Work Experience for psp3 portfolio sasha
Work Experience for psp3 portfolio sashaWork Experience for psp3 portfolio sasha
Work Experience for psp3 portfolio sashasashalaycock03
 
DUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRA
DUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRADUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRA
DUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRATanmoy Mishra
 
In - Vivo and In - Vitro Correlation.pptx
In - Vivo and In - Vitro Correlation.pptxIn - Vivo and In - Vitro Correlation.pptx
In - Vivo and In - Vitro Correlation.pptxAditiChauhan701637
 
How to Show Error_Warning Messages in Odoo 17
How to Show Error_Warning Messages in Odoo 17How to Show Error_Warning Messages in Odoo 17
How to Show Error_Warning Messages in Odoo 17Celine George
 
Riddhi Kevadiya. WILLIAM SHAKESPEARE....
Riddhi Kevadiya. WILLIAM SHAKESPEARE....Riddhi Kevadiya. WILLIAM SHAKESPEARE....
Riddhi Kevadiya. WILLIAM SHAKESPEARE....Riddhi Kevadiya
 
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...Nguyen Thanh Tu Collection
 

Dernier (20)

Patient Counselling. Definition of patient counseling; steps involved in pati...
Patient Counselling. Definition of patient counseling; steps involved in pati...Patient Counselling. Definition of patient counseling; steps involved in pati...
Patient Counselling. Definition of patient counseling; steps involved in pati...
 
How to Make a Field read-only in Odoo 17
How to Make a Field read-only in Odoo 17How to Make a Field read-only in Odoo 17
How to Make a Field read-only in Odoo 17
 
3.26.24 Race, the Draft, and the Vietnam War.pptx
3.26.24 Race, the Draft, and the Vietnam War.pptx3.26.24 Race, the Draft, and the Vietnam War.pptx
3.26.24 Race, the Draft, and the Vietnam War.pptx
 
SOLIDE WASTE in Cameroon,,,,,,,,,,,,,,,,,,,,,,,,,,,.pptx
SOLIDE WASTE in Cameroon,,,,,,,,,,,,,,,,,,,,,,,,,,,.pptxSOLIDE WASTE in Cameroon,,,,,,,,,,,,,,,,,,,,,,,,,,,.pptx
SOLIDE WASTE in Cameroon,,,,,,,,,,,,,,,,,,,,,,,,,,,.pptx
 
Prescribed medication order and communication skills.pptx
Prescribed medication order and communication skills.pptxPrescribed medication order and communication skills.pptx
Prescribed medication order and communication skills.pptx
 
How to Create a Toggle Button in Odoo 17
How to Create a Toggle Button in Odoo 17How to Create a Toggle Button in Odoo 17
How to Create a Toggle Button in Odoo 17
 
How to Manage Cross-Selling in Odoo 17 Sales
How to Manage Cross-Selling in Odoo 17 SalesHow to Manage Cross-Selling in Odoo 17 Sales
How to Manage Cross-Selling in Odoo 17 Sales
 
EBUS5423 Data Analytics and Reporting Bl
EBUS5423 Data Analytics and Reporting BlEBUS5423 Data Analytics and Reporting Bl
EBUS5423 Data Analytics and Reporting Bl
 
How to Solve Singleton Error in the Odoo 17
How to Solve Singleton Error in the  Odoo 17How to Solve Singleton Error in the  Odoo 17
How to Solve Singleton Error in the Odoo 17
 
Ultra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptxUltra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptx
 
Department of Health Compounder Question ‍Solution 2022.pdf
Department of Health Compounder Question ‍Solution 2022.pdfDepartment of Health Compounder Question ‍Solution 2022.pdf
Department of Health Compounder Question ‍Solution 2022.pdf
 
KARNAADA.pptx made by - saransh dwivedi ( SD ) - SHALAKYA TANTRA - ENT - 4...
KARNAADA.pptx  made by -  saransh dwivedi ( SD ) -  SHALAKYA TANTRA - ENT - 4...KARNAADA.pptx  made by -  saransh dwivedi ( SD ) -  SHALAKYA TANTRA - ENT - 4...
KARNAADA.pptx made by - saransh dwivedi ( SD ) - SHALAKYA TANTRA - ENT - 4...
 
3.21.24 The Origins of Black Power.pptx
3.21.24  The Origins of Black Power.pptx3.21.24  The Origins of Black Power.pptx
3.21.24 The Origins of Black Power.pptx
 
Work Experience for psp3 portfolio sasha
Work Experience for psp3 portfolio sashaWork Experience for psp3 portfolio sasha
Work Experience for psp3 portfolio sasha
 
DUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRA
DUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRADUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRA
DUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRA
 
In - Vivo and In - Vitro Correlation.pptx
In - Vivo and In - Vitro Correlation.pptxIn - Vivo and In - Vitro Correlation.pptx
In - Vivo and In - Vitro Correlation.pptx
 
How to Show Error_Warning Messages in Odoo 17
How to Show Error_Warning Messages in Odoo 17How to Show Error_Warning Messages in Odoo 17
How to Show Error_Warning Messages in Odoo 17
 
Riddhi Kevadiya. WILLIAM SHAKESPEARE....
Riddhi Kevadiya. WILLIAM SHAKESPEARE....Riddhi Kevadiya. WILLIAM SHAKESPEARE....
Riddhi Kevadiya. WILLIAM SHAKESPEARE....
 
March 2024 Directors Meeting, Division of Student Affairs and Academic Support
March 2024 Directors Meeting, Division of Student Affairs and Academic SupportMarch 2024 Directors Meeting, Division of Student Affairs and Academic Support
March 2024 Directors Meeting, Division of Student Affairs and Academic Support
 
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
 

IN2N: Cross-institutional Authority Collaboration

  • 2. The IN2N Project  research project, executed in cooperation with:  the German National Library and  the German Film Institute  duration  December 2012 - December 2014  financially supported by the German Research Foundation IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
  • 3. Authority Collaboration in the German-speaking Library Community  collaborative maintaining and linking authority data are essential components of descriptive and subject cataloguing  Integrated Authority File (Gemeinsame Normdatei, GND)  more than 10 million authority entries  describing persons, corporate bodies, conferences and events, places or geographic names, topics, and works  aligned to VIAF, German Wikipedia etc.  accessible as Linked Open Data  BUT  data exchange based on harvesting strategies  data model and data formats are very library specific  non-library organizations are almost excluded IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
  • 4. Cross-institutional Authority Collaboration  assumption: authority data from libraries can support the organization of data from other major players  arising questions from the library perspective: 1. Are there stakeholders that do the same work as libraries, and maybe even better? 2. How can the work be shared? 3. What collaboration models have to be established for partners from new domains to be able to participate in the authority maintenance process of libraries? 4. Are we already fulfilling all the technical and organizational requirements for successful collaboration? IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
  • 5. IN2N Objectives  initial alignment and linking of the existing authority entries for persons in filmportal.de (180.000) and GND (2.9 million)  establishment of an organizational and technical web-based infrastructure for data exchange based on differentiating  storage systems,  data formats, and  data models  development of a generalized collaboration model for working with further non-library cooperation partners  use of Linked Open Data IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
  • 6. Major Phases for an Active Collaboration 1. initial data match between the partners„ data set and the GND data, and a succeeding bi-directional data import from information missed in the respective data stock 2. cataloging routine via a web interface to perform GND queries in real-time and to update GND entries by transmitting differences to the currently stored data entry IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
  • 7. Phase 1: Initial Match&Merge Initial Match Module DNB DIF GND film- portal Intellectual Consolidation GND Merge Module filmportal Merge Module IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
  • 8. Phase 1: Initial Match  match characteristics  entityType, name, dateOfBirth, dateOfDeath, gender, placeOfBirth, placeOfDeath, occupation  match results can be divided into: 1. Exact equivalence between two persons, 2. Potential equivalences between persons, or 3. No equivalence to the corresponding dataset. IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013 3 1 2 identify criteria for class membership
  • 9. Phase 1: Improvement of the Match Process  match process evaluation  iterative configuration of the match algorithm  enriching the GND dataset with third party information  German Wikipedia as discovery aid  comprises 250.000 GND references  provides person's filmographic information  executed an equivalence check between filmportal.de information and Wikipedia‟s person templates as well as article texts  discovered more than 10,000 GND matches  Culturegraph‟s Metafacture Framework http://github.com/culturegraph/metafacture-core/wiki  powerful tool suite for metadata processing IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
  • 10. Phase 1: Intellectual Consolidation  easy to handle user interface to make quick equivalence decisions  Web UI with person‟s main characteristics and match score assignments  links for further research  i.e. filmportal.de, GND, Wikipedia, VIAF  re-use of EntityFacts IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
  • 11. Phase 1: Initial Data Import  merge characteristics complementing the match characteristics  titleOfNobility, academicDegree, periodOfActivity, affiliation, geographicAreaCode, biographicalOrHistoricalInformation, homepage, contributedWork, externalIdentifier  partners have different needs with regard to the data ingest  i. e. deviations in cataloging rules, controlled values  consequence: institutional responsibility for data ingest  DNB as responsible party for the GND has to define access restrictions  it is allowed to overwrite a date of birth but not to delete an existing one  if place of birth contains a link to a geographic entry it is not allowed to replace it by a literal information  … IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
  • 12. Phase 2: Cataloging Routine via the Web  goal  lower the threshold for the implementation of non-library editorial systems accessing the GND as their authority reference system  providing a simple and efficient GND search as well as update interface  data format  limited data set (approx. 25 elements for persons)  self-explanatory element names  property-based search functionality on GND data  use of widely applied standards  updates without knowledge of the complete corresponding GND record  incremental approach vs. record based approach IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
  • 13. Phase 2: Use Case IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013 filmportaleditorialsystem GNDdatastock remote search via the person‘s name partial data ingest into local database data adaptation by the editor transmission of changes local person search by editor without success result set transmission editor selects entry from result set
  • 14. Phase 2: Applicable Data Formats EAC-CPF/XML GND-MARC- Format BIBFRAME for Authorities RDA Vocabularies GND/RDF ? IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
  • 15. Phase 2: Update Interface on Property Level  REST-Interface with a JSON transmission format  operations  add, change, and delete PUT uri=”http://d-nb.info/gnd/129952788” add name(name.forename=”Wolke A.”; name.surname=”Hegenbarth”) add dateOfBirth(dateOfBirth.year=“1980”; dateOfBirth.month=”05”; dateOfBirth.day=”06”) add placeOfBirth=”Meerbusch, Deutschland” PUT uri=”http://d-nb.info/gnd/129952788” change name(name.forename=”Wolke A.”; name.surname=”Hegenbarth”) name(name.forename=”Wolke Alma”; name.surname=”Hegenbarth”) change placeOfBirth=”Meerbusch, Deutschland” placeOfBirthUri=”http://d-nb.info/gnd/2029013-5” IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
  • 16. Cross-Dataset Search  Culturegraph.org  acts as datahub for searching and browsing  analyzes major bibliographic catalogs and crosslinking data to make equivalences and relationships available  authority data as access points  IN2N will support the platform in order to benefit from its developments  providing authority data, bibliographic and filmographic data  re-use of Culturegraph‟s REST interface for search  dynamically result integration into local catalog‟s representation  usability evaluation  find the right balance between local and remote information  increasing the user‟s search success IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
  • 17. Timeline  2013  implementation of match environment  implementation of property-based update interface  GND Change Notifier  1st Quarter 2014  Web-UI for intellectual consolidation  initial startup of the extended filmportal.de editorial system  RDF representation for entries from filmportal.de  3rd Quarter 2014  cross-dataset search  acquiring additional partners IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
  • 18. Conclusion  cross-institutional collaboration on independent and different database systems and data formats is possible  inconsistent data models can cause substantial problems  customization sometimes is necessary  highly granular data supports the collaboration  decisions to be made by libraries  How valuable is “library rules compliant data”?  Are we prepared to compromise?  Are we already open-minded enough to let external partners touch our data? IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013
  • 19. Vielen Dank! discussion is welcome… www.in2n.de Alexander Haffner German National Library a.haffner@dnb.de IN2N: Cross-institutional Authority Collaboration | DC-2013 | 4. September 2013