Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification

Ruud van Bakel, Teodor Aleksiev, Daniel Daza, Dimitrios Alivanistos, Michael Cochez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Large, heterogeneous datasets are characterized by missing or even erroneous information. This is more evident when they are the product of community effort or automatic fact extraction methods from external sources, such as text. A special case of the aforementioned phenomenon can be seen in knowledge graphs, where this mostly appears in the form of missing or incorrect edges and nodes.
Original languageUndefined/Unknown
Title of host publicationGraph Structures for Knowledge Representation and Reasoning
EditorsMichael Cochez, Madalina Croitoru, Pierre Marquis, Sebastian Rudolph
Place of PublicationCham
PublisherSpringer International Publishing
Number of pages18
ISBN (Print)978-3-030-72308-8
StatePublished - Sep 1 2021
Externally publishedYes
  • DL: ICAI Discovery Lab

    van Harmelen, F., De Rijke, M., Siebert, M., Hoekstra, R., Tsatsaronis, G., Groth, P., Cochez, M., Pernisch, R., Alivanistos, D., Mansoury, M., van Hoof, H., Pal, V., Pijnenburg, T., Mitra, P., Bey, T. & de Waard, A.


    Project: Research

Cite this