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Challenges of linking organizational information in open government data to knowledge graphs
Portisch, Jan
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Fallatah, Omaima
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Neumaier, Sebastian
;
Jaradeh, Mohamad Yaser
;
Polleres, Axel
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DOI:
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https://doi.org/10.1007/978-3-030-61244-3_19
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URL:
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https://link.springer.com/chapter/10.1007/978-3-03...
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Document Type:
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Conference or workshop publication
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Year of publication:
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2020
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Book title:
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Knowledge Engineering and Knowledge Management : 22nd International Conference, EKAW 2020, Bolzano, Italy, September 16–20, 2020, proceedings
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The title of a journal, publication series:
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Lecture Notes in Computer Science
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Volume:
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12387
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Page range:
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271-286
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Conference title:
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EKAW: International Conference on Knowledge Engineering and Knowledge Management
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Location of the conference venue:
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Online
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Date of the conference:
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16.-20.09.2020
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Publisher:
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Keet, Maria
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Dumontier, Michel
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Place of publication:
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Berlin [u.a.]
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Publishing house:
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Springer
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ISBN:
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978-3-030-61244-3
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ISSN:
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0302-9743 , 1611-3349
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Publication language:
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English
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Institution:
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School of Business Informatics and Mathematics > Data Science (Paulheim 2018-)
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Subject:
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004 Computer science, internet
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Individual keywords (German):
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Wissensgraphen , Wissensgraph , Open Data , Öffentliche Daten , Wikidata , DBpedia
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Keywords (English):
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knowledge graphs , dataset evolution , entity linking , knowledge graph evolution
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Abstract:
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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.
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
 Search Authors in
BASE:
Portisch, Jan
;
Fallatah, Omaima
;
Neumaier, Sebastian
;
Jaradeh, Mohamad Yaser
;
Polleres, Axel
Google Scholar:
Portisch, Jan
;
Fallatah, Omaima
;
Neumaier, Sebastian
;
Jaradeh, Mohamad Yaser
;
Polleres, Axel
ORCID:
Portisch, Jan  ORCID: https://orcid.org/0000-0001-5420-0663, Fallatah, Omaima, Neumaier, Sebastian, Jaradeh, Mohamad Yaser and Polleres, Axel
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