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

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

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 -- ISWC 2019
Subtitle of host publication	18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I
Editors	Chiara Ghidini, Olaf Hartig, Maria Maleshkova, Vojtech Svátek, Isabel Cruz, Aidan Hogan, Jie Song, Maxime Lefrançois, Fabien Gandon
Place of Publication	Cham
Publisher	Springer
Pages	523-538
Number of pages	16
ISBN (Electronic)	978-3-030-30793-6
ISBN (Print)	978-3-030-30793-6
DOIs	https://doi.org/10.1007/978-3-030-30793-6_30
Publication status	Published - 17 Oct 2019
Event	16th International Symposium on Wireless Communication Systems - Oulu, Finland Duration: 27 Aug 2019 → 30 Aug 2019 http://iswcs2019.org/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer, Cham
Volume	11778
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Symposium on Wireless Communication Systems
Abbreviated title	ISWCS 2019
Country/Territory	Finland
City	Oulu
Period	27/08/19 → 30/08/19
Internet address	http://iswcs2019.org/

Keywords / Materials (for Non-textual outputs)

Question answering

Access to Document

10.1007/978-3-030-30793-6_30Licence: All Rights Reserved

https://link.springer.com/chapter/10.1007/978-3-030-30793-6_30Licence: All Rights Reserved

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: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I (pp. 523-538). (Lecture Notes in Computer Science; Vol. 11778). Springer. https://doi.org/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: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I. editor / Chiara Ghidini ; Olaf Hartig ; Maria Maleshkova ; Vojtech Svátek ; Isabel Cruz ; Aidan Hogan ; Jie Song ; Maxime Lefrançois ; Fabien Gandon. Cham : Springer, 2019. pp. 523-538 (Lecture Notes in Computer Science).

@inproceedings{f011cbd688dc422190b12ae1031c05b3,

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 = "Question answering",

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

year = "2019",

month = oct,

day = "17",

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

language = "English",

isbn = "978-3-030-30793-6",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "523--538",

editor = "Chiara Ghidini and Olaf Hartig and Maria Maleshkova and Vojtech Sv{\'a}tek and Isabel Cruz and Aidan Hogan and Jie Song and Maxime Lefran{\c c}ois and Fabien Gandon",

booktitle = "The Semantic Web -- ISWC 2019",

address = "United Kingdom",

note = "16th International Symposium on Wireless Communication Systems , ISWCS 2019 ; Conference date: 27-08-2019 Through 30-08-2019",

url = "http://iswcs2019.org/",

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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: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I. Lecture Notes in Computer Science, vol. 11778, Springer, Cham, pp. 523-538, 16th International Symposium on Wireless Communication Systems , Oulu, Finland, 27/08/19. 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: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I. ed. / Chiara Ghidini; Olaf Hartig; Maria Maleshkova; Vojtech Svátek; Isabel Cruz; Aidan Hogan; Jie Song; Maxime Lefrançois; Fabien Gandon. Cham: Springer, 2019. p. 523-538 (Lecture Notes in Computer Science; Vol. 11778).

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

TY - GEN

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

PY - 2019/10/17

Y1 - 2019/10/17

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 - Question answering

U2 - 10.1007/978-3-030-30793-6_30

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

M3 - Conference contribution

SN - 978-3-030-30793-6

T3 - Lecture Notes in Computer Science

SP - 523

EP - 538

BT - The Semantic Web -- ISWC 2019

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

CY - Cham

T2 - 16th International Symposium on Wireless Communication Systems

Y2 - 27 August 2019 through 30 August 2019

ER -

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: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I. Cham: Springer. 2019. p. 523-538. (Lecture Notes in Computer Science). doi: 10.1007/978-3-030-30793-6_30

Entity Enabled Relation Linking

Abstract

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Conference

Keywords / Materials (for Non-textual outputs)

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