Challenges of linking organizational information in open government data to knowledge graphs


Portisch, Jan ; Fallatah, Omaima ; Neumaier, Sebastian ; Jaradeh, Mohamad Yaser ; Polleres, Axel



DOI: https://doi.org/10.1007/978-3-030-61244-3_19
URL: https://link.springer.com/chapter/10.1007/978-3-03...
Document Type: Conference or workshop publication
Year of publication: 2020
Book title: Knowledge Engineering and Knowledge Management : 22nd International Conference, EKAW 2020, Bolzano, Italy, September 16–20, 2020, proceedings
The title of a journal, publication series: Lecture Notes in Computer Science
Volume: 12387
Page range: 271-286
Conference title: EKAW: International Conference on Knowledge Engineering and Knowledge Management
Location of the conference venue: Online
Date of the conference: 16.-20.09.2020
Publisher: Keet, Maria ; Dumontier, Michel
Place of publication: Cham
Publishing house: Springer International Publishing
ISBN: 978-3-030-61244-3
ISSN: 0302-9743 , 1611-3349
Publication language: English
Institution: School of Business Informatics and Mathematics > Web Data Mining (Paulheim 2018-)
Subject: 004 Computer science, internet
Individual keywords (German): Wissensgraphen , Wissensgraph , Open Data , Öffentliche Daten , Wikidata , DBpedia
Keywords (English): knowledge graphs , dataset evolution , entity linking , knowledge graph evolution
Abstract: Open Government Data (OGD) is being published by various public administration organizations around the globe. Within the metadata of OGD data catalogs, the publishing organizations (1) are not uniquely and unambiguously identifiable and, even worse, (2) change over time, by public administration units being merged or restructured. In order to enable fine-grained analyzes or searches on Open Government Data on the level of publishing organizations, linking those from OGD portals to publicly available knowledge graphs (KGs) such as Wikidata and DBpedia seems like an obvious solution. Still, as we show in this position paper, organization linking faces significant challenges, both in terms of available (portal) metadata and KGs in terms of data quality and completeness. We herein specifically highlight five main challenges, namely regarding (1) temporal changes in organizations and in the portal metadata, (2) lack of a base ontology for describing organizational structures and changes in public knowledge graphs, (3) metadata and KG data quality, (4) multilinguality, and (5) disambiguating public sector organizations. Based on available OGD portal metadata from the Open Data Portal Watch, we provide an in-depth analysis of these issues, make suggestions for concrete starting points on how to tackle them along with a call to the community to jointly work on these open challenges.

Dieser Eintrag ist Teil der Universitätsbibliographie.




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