Entity Enabled Relation Linking

Jeff Z. Pan; Mei Zhang; Kuldeep Singh; Frank van Harmelen; Jinguang Gu; Zhi Zhang

doi:10.1007/978-3-030-30793-6_30

Entity Enabled Relation Linking

Jeff Z. Pan^*, Mei Zhang, Kuldeep Singh, Frank van Harmelen, Jinguang Gu, Zhi Zhang

^*Corresponding author for this work

Computing Science

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

11 Citations (Scopus)

Abstract

Relation linking is an important problem for knowledge graph-based Question Answering. Given a natural language question and a knowledge graph, the task is to identify relevant relations from the given knowledge graph. Since existing techniques for entity extraction and linking are more stable compared to relation linking, our idea is to exploit entities extracted from the question to support relation linking. In this paper, we propose a novel approach, based on DBpedia entities, for computing relation candidates. We have empirically evaluated our approach on different standard benchmarks. Our evaluation shows that our approach significantly outperforms existing baseline systems in both recall, precision and runtime.

Original language	English
Title of host publication	The Semantic Web
Subtitle of host publication	ISWC 2019
Editors	Chiara Ghidini, Olaf Hartig, Maria Maleshkova, Vojtech Svátek, Isabel Cruz, Aidan Hogan, Jie Song, Maxime Lefrançois, Fabien Gandon
Publisher	Springer
Pages	523-538
Number of pages	16
ISBN (Electronic)	9783030307936
ISBN (Print)	9783030307929
DOIs	https://doi.org/10.1007/978-3-030-30793-6_30
Publication status	Published - 2019
Event	International Semantic Web Conference 2019 - The University of Auckland, Auckland, New Zealand Duration: 26 Oct 2019 → 30 Oct 2019 Conference number: 18 https://link.springer.com/book/10.1007/978-3-030-30793-6 https://iswc2019.semanticweb.org/

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11778 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Semantic Web Conference 2019
Abbreviated title	ISWC 2019
Country/Territory	New Zealand
City	Auckland
Period	26/10/19 → 30/10/19
Internet address	https://link.springer.com/book/10.1007/978-3-030-30793-6 https://iswc2019.semanticweb.org/

Keywords

Knowledge Graph
Predicate linking
Question answering
Semantic search
Semantic Web

Access to Document

10.1007/978-3-030-30793-6_30

Cite this

Pan, J. Z., Zhang, M., Singh, K., Harmelen, F. V., Gu, J., & Zhang, Z. (2019). Entity Enabled Relation Linking. In C. Ghidini, O. Hartig, M. Maleshkova, V. Svátek, I. Cruz, A. Hogan, J. Song, M. Lefrançois, & F. Gandon (Eds.), The Semantic Web: ISWC 2019 (pp. 523-538). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11778 LNCS). Springer . https://doi.org/10.1007/978-3-030-30793-6_30

Entity Enabled Relation Linking. / Pan, Jeff Z.; Zhang, Mei; Singh, Kuldeep et al.

The Semantic Web: ISWC 2019. ed. / Chiara Ghidini; Olaf Hartig; Maria Maleshkova; Vojtech Svátek; Isabel Cruz; Aidan Hogan; Jie Song; Maxime Lefrançois; Fabien Gandon. Springer , 2019. p. 523-538 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11778 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Pan, JZ, Zhang, M, Singh, K, Harmelen, FV, Gu, J & Zhang, Z 2019, Entity Enabled Relation Linking. in C Ghidini, O Hartig, M Maleshkova, V Svátek, I Cruz, A Hogan, J Song, M Lefrançois & F Gandon (eds), The Semantic Web: ISWC 2019. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11778 LNCS, Springer , pp. 523-538, International Semantic Web Conference 2019, Auckland, New Zealand, 26/10/19. https://doi.org/10.1007/978-3-030-30793-6_30

Pan JZ, Zhang M, Singh K, Harmelen FV, Gu J, Zhang Z. Entity Enabled Relation Linking. In Ghidini C, Hartig O, Maleshkova M, Svátek V, Cruz I, Hogan A, Song J, Lefrançois M, Gandon F, editors, The Semantic Web: ISWC 2019. Springer . 2019. p. 523-538. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2019 Oct 17. doi: 10.1007/978-3-030-30793-6_30

Pan, Jeff Z. ; Zhang, Mei ; Singh, Kuldeep et al. / Entity Enabled Relation Linking. The Semantic Web: ISWC 2019. editor / Chiara Ghidini ; Olaf Hartig ; Maria Maleshkova ; Vojtech Svátek ; Isabel Cruz ; Aidan Hogan ; Jie Song ; Maxime Lefrançois ; Fabien Gandon. Springer , 2019. pp. 523-538 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Entity Enabled Relation Linking",

abstract = "Relation linking is an important problem for knowledge graph-based Question Answering. Given a natural language question and a knowledge graph, the task is to identify relevant relations from the given knowledge graph. Since existing techniques for entity extraction and linking are more stable compared to relation linking, our idea is to exploit entities extracted from the question to support relation linking. In this paper, we propose a novel approach, based on DBpedia entities, for computing relation candidates. We have empirically evaluated our approach on different standard benchmarks. Our evaluation shows that our approach significantly outperforms existing baseline systems in both recall, precision and runtime.",

keywords = "Knowledge Graph, Predicate linking, Question answering, Semantic search, Semantic Web",

author = "Pan, {Jeff Z.} and Mei Zhang and Kuldeep Singh and Harmelen, {Frank van} and Jinguang Gu and Zhi Zhang",

note = "This work has been supported by the National Natural Science Foundation of China (61673304) and the Key Projects of National Social Science Foundation of China (11&ZD189).; International Semantic Web Conference 2019, ISWC 2019 ; Conference date: 26-10-2019 Through 30-10-2019",

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doi = "10.1007/978-3-030-30793-6_30",

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T1 - Entity Enabled Relation Linking

AU - Pan, Jeff Z.

AU - Zhang, Mei

AU - Singh, Kuldeep

AU - Harmelen, Frank van

AU - Gu, Jinguang

AU - Zhang, Zhi

N1 - Conference code: 18

PY - 2019

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N2 - Relation linking is an important problem for knowledge graph-based Question Answering. Given a natural language question and a knowledge graph, the task is to identify relevant relations from the given knowledge graph. Since existing techniques for entity extraction and linking are more stable compared to relation linking, our idea is to exploit entities extracted from the question to support relation linking. In this paper, we propose a novel approach, based on DBpedia entities, for computing relation candidates. We have empirically evaluated our approach on different standard benchmarks. Our evaluation shows that our approach significantly outperforms existing baseline systems in both recall, precision and runtime.

AB - Relation linking is an important problem for knowledge graph-based Question Answering. Given a natural language question and a knowledge graph, the task is to identify relevant relations from the given knowledge graph. Since existing techniques for entity extraction and linking are more stable compared to relation linking, our idea is to exploit entities extracted from the question to support relation linking. In this paper, we propose a novel approach, based on DBpedia entities, for computing relation candidates. We have empirically evaluated our approach on different standard benchmarks. Our evaluation shows that our approach significantly outperforms existing baseline systems in both recall, precision and runtime.

KW - Knowledge Graph

KW - Predicate linking

KW - Question answering

KW - Semantic search

KW - Semantic Web

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DO - 10.1007/978-3-030-30793-6_30

M3 - Published conference contribution

AN - SCOPUS:85075731570

SN - 9783030307929

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 523

EP - 538

BT - The Semantic Web

A2 - Ghidini, Chiara

A2 - Hartig, Olaf

A2 - Maleshkova, Maria

A2 - Svátek, Vojtech

A2 - Cruz, Isabel

A2 - Hogan, Aidan

A2 - Song, Jie

A2 - Lefrançois, Maxime

A2 - Gandon, Fabien

PB - Springer

T2 - International Semantic Web Conference 2019

Y2 - 26 October 2019 through 30 October 2019

ER -

Entity Enabled Relation Linking

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