Wikidata as authority linking hub

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ELAG 2017 Abstract: Authority files and identifiers are used by libraries to consistently refer to entities such as subjects and authors. This principle of referencing “things, not strings” is also applied successfully in Linked Open Data and knowledge bases. The open knowledge base Wikidata connects Wikipedia articles in any language and provides background information on article’s subject such images and affiliations. In addition to internal references Wikidata contains identifiers from more than thousand authority files: well known library identifiers such as VIAF and GND, researcher IDs such as ORCID and Google Scholar, and identifiers for many more items such as TED speakers and Find A Grave. Wikidata thus emerges as a giant curated linking hub based on authority identifiers. In contrast to closed authority files that often impose tedious procedures, Wikidata can be enhanced and corrected by anybody, just like Wikipedia. The management of links between authority files in Wikidata is particularly suitable for automation: mappings extracted from Wikidata can be used in other systems and mapping data is already available in libraries ready to be added to Wikidata. This presentation will illustrate the use of Wikidata as authority linking hub with a case study considering links between author identifiers from RePEc (Research Papers in Economics) and GND. Workflows include both automatic and semi-automatic mapping approaches. We will address both technical solutions and organizational policies ruling the operation of Wikidata bots for automated updates. The tools presented in this talk include “wdmapper” command line application for extracting and complementing mappings from Wikidata with external mapping files and the “Mix’n’Match” to support crowdsourced mapping of authority files to Wikidata. Online version: https://hackmd.io/s/S1YmXWC0e#

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determination method (P459)
point in time (P585)
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ZBW is a member of the Leibniz Association that has explored and mapped the category system of the world's largest public press archives. The archives contain over 25,000 thematic dossiers from 1908 to 1949 about persons, general subjects, events, and companies with over 2 million scanned pages available online. ZBW aims to map the historic system used to organize knowledge about the world in the press archives to Wikidata to make the information more accessible.

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This document summarizes ZBW's experiences donating data from its 20th Century Press Archives (PM20) collection to Wikidata. PM20 contains over 2 million digitized newspaper clippings organized into 25,000 thematic dossiers on general topics, persons, companies, and products from 1908-1949. ZBW aims to link all PM20 dossier folders to Wikidata items to provide open access to these historical sources. So far, ZBW has added over 5,000 links and 6,000 statements from PM20 dossiers to Wikidata items on persons. Their next challenge is mapping PM20's hierarchical organization of dossiers on countries and topics to Wikidata.

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ZBW is a member of the Leibniz Association and maintains the 20th Century Press Archives. The archives contain over 1 million digitized newspaper clippings from 1500+ newspapers covering persons, companies, products, and events. To ensure long term sustainability, ZBW is making the folder metadata from the archives openly available on Wikidata to allow for improved discovery, access, and maintenance of the metadata. Over 90% of person folders from the archives have already been linked on Wikidata. This integration with Wikidata will provide new interfaces and APIs for working with the press archive metadata.

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1) The 20th Century Press Archives housed at ZBW, a member of the Leibniz Association, contains digitized press clippings dating back to 1826 that were organized into dossiers on persons, companies, products and events. 2) The metadata for the dossiers and 1.8 million digitized pages are being linked to Wikidata to make them more accessible and connect them to related information on Wikidata. 3) A new Wikidata property was created to link the press archive dossier IDs to relevant Wikidata items and the press archive data was released on Wikidata and via APIs to encourage participation in the Coding da Vinci cultural hackathon.

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Joachim Neubert presented methods for linking authorities like economists from the Research Papers in Economics (RePEc) database and the Integrated Authority File (GND) to Wikidata items. This included developing tools to match Wikidata items to external IDs, identify items missing properties, lookup external IDs, and trigger property inserts into Wikidata via QuickStatements. Over 10% of economists were added to Wikidata by synthesizing existing mappings and inserting new items from RePEc.

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Wikidata has been created in order to support all of the roughly 300 Wikipedia projects. Besides interlinking all Wikipedia pages about a specific item – e.g., a person - in different languages, it also connects to more than 1900 different sources of authority information. We will present lessons learned from using Wikidata as a linking hub for two personal name authorities in economics (GND and RePEc author identifiers) and demonstrate the benefits of moving a mapping from a closed environment to Wikidata as a public and community-curated linking hub. We will further ask to what extent these experiences can be transferred to knowledge organization systems and how the limitation to simple 1:1 relationships (as for authorities) can be overcome. Using STW Thesaurus for Economics as an example, we will investigate how we can make use of existing cross-concordances to "seed" Wik-idata with external identifiers, and how transitive mappings to yet un-mapped vocabularies can be earned.

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The document discusses exploiting the version history of SKOS (Simple Knowledge Organization System) files by publishing and formally tracking changes between versions of SKOS vocabularies. This would help address common questions about what is new or changed when a new version is published. It could benefit human indexers learning about updated terms, those maintaining mappings to other vocabularies, and applications supporting automatic indexing and search. The authors propose tracking changes using a GitHub repository called "skos-history" to establish best practices for maintaining SKOS version histories.

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Publishing Linked Open Data in a user-appealing way is still a challenge: Generic solutions to convert arbitrary RDF structures to HTML out-of-the-box are available, but leave users perplexed. Custom-built web applications to enrich web pages with semantic tags "under the hood" require high efforts in programming. Given this dilemma, content management systems (CMS) could be a natural enhancement point for data on the web. In the case of Drupal, one of the most popular CMS nowadays, Semantic Web enrichment is provided as part of the CMS core. In a simple declarative approach, classes and properties from arbitrary vocabularies can be added to Drupal content types and fields, and are turned into Linked Data on the web pages automagically. The embedded RDFa marked-up data can be easily extracted by other applications. This makes the pages part of the emerging Web of Data, and in the same course helps discoverability with the major search engines. In the workshop, you will learn how to make use of the built-in Drupal 7 features to produce RDFa enriched pages. You will build new content types, add custom fields and enhance them with RDF markup from mixed vocabularies. The gory details of providing LOD-compatible "cool" URIs will not be skipped, and current limitations of RDF support in Drupal will be explained. Exposing the data in a REST-ful application programming interface or as a SPARQL endpoint are additional options provided by Drupal modules. The workshop will also introduce modules such as Web Taxonomy, which allows linking to thesauri or authority files on the web via simple JSON-based autocomplete lookup. Finally, we will touch the upcoming Drupal 8 version. (Workshop announcement)

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