The Dutch case The vocabulary work of RKD and the National Strategy for Digital Heritage

Transcription

1 The Dutch case The vocabulary work of RKD and the National Strategy for Digital Heritage Pacific Neighbourhood Consortium 2017, Annual conference, November 6-9 intainan Taiwan by: Reem Weda Information Specialist Image CC0 Wikimedia

2 Vogelschauansicht von Taoyuan und Fort Zeelandia tria.at/pages/imagedetail.aspx?p_ibildid=

3 RKD-Netherlands Institute for Art History The Hague, since 1931

4 Explore: the online interface to search our collections Art documentation Library catalogue Archive inventories Datasets ( web portal RKDexplore) Vocabularies: RKDartists, Iconclass and Dutch AAT

5 Controlled Vocabularies RKD RKDartists biographical info persons related to the arts Dutch AAT generic concepts for heritage collections Iconclass classifications for subject matter in art

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8 Vocabulary, terminology, taxonomy, thesaurus Why use them? 1. Knowledge management: classify and determine topics/subjects 2. Quality: used to promote and ensure good data! 3. Connection: better metadata means more search results and discoverability In the 21th century we must think beyond cataloging just for our own institutions

9 When it comes to digitisation, the major challenges facing the heritage sector relate to scaling up their facilities to be more effective and efficient and linking the collections together to facilitate use General issues Dutch cultural heritage sector: 1500 institutions, many more collections - demand for crossinstitutional, cross-domain discovery - many specialized portals giving access to different views Discovery of the deep web eg. Institutional repositories, collection management systems - Millions of invisible datasets: publications, research data, heritage collections Poor coverage by regular search engines - metadata is key, describing physical materials or (licensed) digital content

10 Digital Heritage Network (NDE) programs ale_strategie_digitaal_erfgoed_engels.pdf

11 Program USABLE Shared infrastructure through hubs and graphs Rapports commissioned by NDE Inventarisation rapport on behalf of a Term Network (Keijzer, 2016) 20v2.pdf A knowledge graph for the integration of heritage information (Hildebrand & Alink, 2016) 0v2.pdf

12 Inventarisation for a Term Network Main goals Identify the terminologies available within the (Dutch) heritage domain Identify the potential users of the term network Provide selective criteria for terminologies that will be hosted by the Term Network Results A overview of some main terminologies (not exhaustive) A description of user profiles; end user, expert, information specialist (x3) Hard selective criteria not established, but some guidelines where layed out.

13 The terminology network as a knowledge graph Dbpedia, Wikipedia,Wi kidata, schema.org

14 Strategy for our distributed network Semantic aligment 1.build a service for shared entities for Dutch digital heritage 2.improve the usability of the data source (if needed): - align object descriptions with shared terminology - publish data as Linked Data data integration 3. build a discovery infrastructure: - register organizations and datasets in a registry - build knowledge graph to support discovery ( backlinks ) 4. implement virtual data integration technology : - use registry and knowledge graph for selecting the resources - support federated querying (or selective aggregation)

15 Work of the RKD aligned with the national strategy program RKD becomes a node in the proposed Term Network Developing Artists4all: module to make RKDartists open to contributions from outside of RKD Consulting other projects: The Visual Thesaurus for Fashion and Costume R&D: linking Iconclass keywords to AAT, and investigate further interoperability

16 Artists4all online contributions to RKDartists by outside partners Self portrait Thérèse Schwartze ( ) Portret van professor Van Iterson, B. van Vlijmen

17 Visual Thesaurus Fashion and Costume

18 CC0. Drawing made by David Ring

19 Exploring linked data connections between Iconclass and AAT Questions Connect on a concept level? or Connect on keyword level? What are the data structure issues? What are the benefits of linking this data?

20 Rembrandt, portrait of a couple as Isaak en Rebecca, Bible 71 Old Testament 71C Genesis: the patriarchs 71C2 story of Isaac 71C21 Rebekah (Rebecca) sought in marriage (Genesis 24) 71C217 marriage of Isaac and Rebekah Keys: Eliezer (servant of Abraham) Genesis Genesis 24 Isaac Old Testament Rebekah bible marriage patriarch proposal

21 Linking Iconclass keywords to LOD 92N61 Morpheus (Sopor), dream appearing in various human forms Keywords: Morpheus Oneiroi ancient history classical antiquity dream gods history human figure mythology underworld ancient classical dreams gods human (culture) Morpheus Oneiroi

22 Thank you for listening! RKD explore RKD artists& Getty AAT Iconclass The English version of the Dutch Strategy for Digital Heritage Rapport on the Knowledge graph Latest presentation by Enno Meijers on Distributed network of digital heritage information.