Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification

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

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 proceeding › Conference contribution › peer-review

Abstract

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 language	Undefined/Unknown
Title of host publication	Graph Structures for Knowledge Representation and Reasoning
Editors	Michael Cochez, Madalina Croitoru, Pierre Marquis, Sebastian Rudolph
Place of Publication	Cham
Publisher	Springer International Publishing
Pages	107-124
Number of pages	18
ISBN (Print)	978-3-030-72308-8
State	Published - Sep 1 2021
Externally published	Yes

DL: ICAI Discovery Lab
van Harmelen, F. (CoPI), De Rijke, M. (CoI), Siebert, M. (CoI), Hoekstra, R. (CoPI), Tsatsaronis, G. (CoPI), Groth, P. (CoPI), Cochez, M. (CoI), Pernisch, R. (CoI), Alivanistos, D. (CoI), Mansoury, M. (CoI), van Hoof, H. (CoI), Pal, V. (CoI), Pijnenburg, T. (CoI), Mitra, P. (CoI), Bey, T. (CoI) & de Waard, A. (CoPI)
10/1/19 → 03/31/25
Project: Research

Cite this

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title = "Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification",

abstract = "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.",

author = "{van Bakel}, Ruud and Teodor Aleksiev and Daniel Daza and Dimitrios Alivanistos and Michael Cochez",

year = "2021",

month = sep,

day = "1",

language = "Undefined/Unknown",

isbn = "978-3-030-72308-8",

pages = "107--124",

editor = "Michael Cochez and Madalina Croitoru and Pierre Marquis and Sebastian Rudolph",

booktitle = "Graph Structures for Knowledge Representation and Reasoning",

publisher = "Springer International Publishing",

}

Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification. / van Bakel, Ruud; Aleksiev, Teodor; Daza, Daniel et al.
Graph Structures for Knowledge Representation and Reasoning. ed. / Michael Cochez; Madalina Croitoru; Pierre Marquis; Sebastian Rudolph. Cham: Springer International Publishing, 2021. p. 107-124.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification

AU - van Bakel, Ruud

AU - Aleksiev, Teodor

AU - Daza, Daniel

AU - Alivanistos, Dimitrios

AU - Cochez, Michael

PY - 2021/9/1

Y1 - 2021/9/1

N2 - 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.

AB - 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.

M3 - Conference contribution

SN - 978-3-030-72308-8

SP - 107

EP - 124

BT - Graph Structures for Knowledge Representation and Reasoning

A2 - Cochez, Michael

A2 - Croitoru, Madalina

A2 - Marquis, Pierre

A2 - Rudolph, Sebastian

PB - Springer International Publishing

CY - Cham

ER -

Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification

Abstract

Projects

DL: ICAI Discovery Lab

Cite this