Difference between revisions of "An Approach to Correction of Erroneous Links in Knowledge Graphs"

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== Overview ==
 
== Overview ==
 
Enriching and cleaning datasets are tasks relevant to most largescale knowledge graphs, which are known to be noisy and incomplete. In this paper, authors propose one approach to fix wrong facts which originate from confusion between entities. This is a common source of errors in [[Wikipedia]], from which [[DBpedia]] and YAGO are extracted, and in open information extraction systems, e.g. NELL. Their approach generates candidate subjects and objects to fix triples by exploiting disambiguation links and approximate string matching. Authors run their approach on DBpedia and NELL and perform a manual evaluation of the generated corrections.
 
Enriching and cleaning datasets are tasks relevant to most largescale knowledge graphs, which are known to be noisy and incomplete. In this paper, authors propose one approach to fix wrong facts which originate from confusion between entities. This is a common source of errors in [[Wikipedia]], from which [[DBpedia]] and YAGO are extracted, and in open information extraction systems, e.g. NELL. Their approach generates candidate subjects and objects to fix triples by exploiting disambiguation links and approximate string matching. Authors run their approach on DBpedia and NELL and perform a manual evaluation of the generated corrections.
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=== Wikipedia Quality ===
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Melo, André; Paulheim, Heiko. (2017). "[[An Approach to Correction of Erroneous Links in Knowledge Graphs]]". CEUR Workshop Proceedings Volume 2065, 2017, pp. 54-57. ISSN: 16130073.
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=== English Wikipedia ===
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{{cite journal |last1=Melo |first1=André |last2=Paulheim |first2=Heiko |title=An Approach to Correction of Erroneous Links in Knowledge Graphs |date=2017 |issn=16130073 |url=https://wikipediaquality.com/wiki/An_Approach_to_Correction_of_Erroneous_Links_in_Knowledge_Graphs |journal=CEUR Workshop Proceedings Volume 2065, 2017, pp. 54-57}}
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Melo, André; Paulheim, Heiko. (2017). &amp;quot;<a href="https://wikipediaquality.com/wiki/An_Approach_to_Correction_of_Erroneous_Links_in_Knowledge_Graphs">An Approach to Correction of Erroneous Links in Knowledge Graphs</a>&amp;quot;. CEUR Workshop Proceedings Volume 2065, 2017, pp. 54-57. ISSN: 16130073.
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[[Category:Scientific works]]
 
[[Category:Scientific works]]

Latest revision as of 23:58, 3 July 2018


An Approach to Correction of Erroneous Links in Knowledge Graphs
Authors
André Melo
Heiko Paulheim
Publication date
2017
ISSN
16130073
Links
Original

An Approach to Correction of Erroneous Links in Knowledge Graphs - scientific work about Wikipedia quality published in 2017, written by André Melo and Heiko Paulheim.

Overview

Enriching and cleaning datasets are tasks relevant to most largescale knowledge graphs, which are known to be noisy and incomplete. In this paper, authors propose one approach to fix wrong facts which originate from confusion between entities. This is a common source of errors in Wikipedia, from which DBpedia and YAGO are extracted, and in open information extraction systems, e.g. NELL. Their approach generates candidate subjects and objects to fix triples by exploiting disambiguation links and approximate string matching. Authors run their approach on DBpedia and NELL and perform a manual evaluation of the generated corrections.

Embed

Wikipedia Quality

Melo, André; Paulheim, Heiko. (2017). "[[An Approach to Correction of Erroneous Links in Knowledge Graphs]]". CEUR Workshop Proceedings Volume 2065, 2017, pp. 54-57. ISSN: 16130073.

English Wikipedia

{{cite journal |last1=Melo |first1=André |last2=Paulheim |first2=Heiko |title=An Approach to Correction of Erroneous Links in Knowledge Graphs |date=2017 |issn=16130073 |url=https://wikipediaquality.com/wiki/An_Approach_to_Correction_of_Erroneous_Links_in_Knowledge_Graphs |journal=CEUR Workshop Proceedings Volume 2065, 2017, pp. 54-57}}

HTML

Melo, André; Paulheim, Heiko. (2017). &quot;<a href="https://wikipediaquality.com/wiki/An_Approach_to_Correction_of_Erroneous_Links_in_Knowledge_Graphs">An Approach to Correction of Erroneous Links in Knowledge Graphs</a>&quot;. CEUR Workshop Proceedings Volume 2065, 2017, pp. 54-57. ISSN: 16130073.