TL;DR
This paper discusses the complex challenges of linking open government data organizations to knowledge graphs, highlighting issues like data quality, organizational changes, and multilinguality, and proposes directions for future solutions.
Contribution
It identifies five key challenges in linking OGD organizations to knowledge graphs and provides an in-depth analysis with suggestions for addressing these issues.
Findings
Identified five main challenges in linking organizations to KGs.
Analyzed metadata and data quality issues in OGD portals.
Provided concrete suggestions for future research directions.
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 analyses 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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
