Quality assessment for Linked Data: A Survey

By Amrapali Zaveri, Anisa Rula, Andrea Maurino, R. Pietrobon, Jens Lehmann, Sören Auer. Semantic Web, 2015

636 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/cc88d3ea90449023874e7d5c257a3f3644ace023

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Michael Färber
2. Achim Rettinger
3. Frederic Bartscherer
4. Carsten Menne

Citations in the corpus

• Knowledge Graphs (2020, neutral): “A corresponding metric for syntactic accuracy is the ratio between the number of incorrect values of a given property and the total number of values for the same property [573].”
• Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO (2017, methodology): “[42] provide a conceptual framework for quality assessment of linked data based on the systematic review of quality criteria and metrics which are assigned to quality dimensions and categories based on the framework of Wang et al.”