Entity Typing Based on RDF2Vec Using Supervised and Unsupervised Methods

Radina Sofronova; Russa Biswas; Mehwish Alam; Harald Sack

doi:10.1007/978-3-030-62327-2_35

Entity Typing Based on RDF2Vec Using Supervised and Unsupervised Methods

Radina Sofronova
, Russa Biswas
, Mehwish Alam
, Harald Sack

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

Abstract

Knowledge Graphs have been recognized as the foundation for diverse applications in the field of data mining, information retrieval, and natural language processing. So the completeness and the correctness of the KGs are of high importance. The type information of the entities in a KG, is one of the most vital facts. However, it has been observed that type information is often noisy or incomplete. In this work, the task of fine-grained entity typing is addressed by exploiting the pre-trained RDF2Vec vectors using supervised and unsupervised approaches.

Original language	English
Title of host publication	The Semantic Web
Subtitle of host publication	ESWC 2020 Satellite Events - ESWC 2020, Revised Selected Papers
Editors	Andreas Harth, Valentina Presutti, Raphaël Troncy, Maribel Acosta, Axel Polleres, Javier D. Fernández, Josiane Xavier Parreira, Olaf Hartig, Katja Hose, Michael Cochez
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	203-207
Number of pages	5
ISBN (Print)	9783030623265
DOIs	https://doi.org/10.1007/978-3-030-62327-2_35
Publication status	Published - 1 Jan 2020
Externally published	Yes
Event	17th Extended Semantic Web Conference, ESWC 2020 - Heraklion, Greece Duration: 31 May 2020 → 4 Jun 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12124 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th Extended Semantic Web Conference, ESWC 2020
Country/Territory	Greece
City	Heraklion
Period	31/05/20 → 4/06/20

Access to Document

10.1007/978-3-030-62327-2_35

Cite this

Sofronova, R., Biswas, R., Alam, M., & Sack, H. (2020). Entity Typing Based on RDF2Vec Using Supervised and Unsupervised Methods. In A. Harth, V. Presutti, R. Troncy, M. Acosta, A. Polleres, J. D. Fernández, J. Xavier Parreira, O. Hartig, K. Hose, & M. Cochez (Eds.), The Semantic Web: ESWC 2020 Satellite Events - ESWC 2020, Revised Selected Papers (pp. 203-207). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12124 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-62327-2_35

Sofronova, Radina ; Biswas, Russa ; Alam, Mehwish et al. / Entity Typing Based on RDF2Vec Using Supervised and Unsupervised Methods. The Semantic Web: ESWC 2020 Satellite Events - ESWC 2020, Revised Selected Papers. editor / Andreas Harth ; Valentina Presutti ; Raphaël Troncy ; Maribel Acosta ; Axel Polleres ; Javier D. Fernández ; Josiane Xavier Parreira ; Olaf Hartig ; Katja Hose ; Michael Cochez. Springer Science and Business Media Deutschland GmbH, 2020. pp. 203-207 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Entity Typing Based on RDF2Vec Using Supervised and Unsupervised Methods",

abstract = "Knowledge Graphs have been recognized as the foundation for diverse applications in the field of data mining, information retrieval, and natural language processing. So the completeness and the correctness of the KGs are of high importance. The type information of the entities in a KG, is one of the most vital facts. However, it has been observed that type information is often noisy or incomplete. In this work, the task of fine-grained entity typing is addressed by exploiting the pre-trained RDF2Vec vectors using supervised and unsupervised approaches.",

author = "Radina Sofronova and Russa Biswas and Mehwish Alam and Harald Sack",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 17th Extended Semantic Web Conference, ESWC 2020 ; Conference date: 31-05-2020 Through 04-06-2020",

year = "2020",

month = jan,

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doi = "10.1007/978-3-030-62327-2\_35",

language = "English",

isbn = "9783030623265",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "203--207",

editor = "Andreas Harth and Valentina Presutti and Rapha{\"e}l Troncy and Maribel Acosta and Axel Polleres and Fern{\'a}ndez, \{Javier D.\} and \{Xavier Parreira\}, Josiane and Olaf Hartig and Katja Hose and Michael Cochez",

booktitle = "The Semantic Web",

}

Sofronova, R, Biswas, R, Alam, M & Sack, H 2020, Entity Typing Based on RDF2Vec Using Supervised and Unsupervised Methods. in A Harth, V Presutti, R Troncy, M Acosta, A Polleres, JD Fernández, J Xavier Parreira, O Hartig, K Hose & M Cochez (eds), The Semantic Web: ESWC 2020 Satellite Events - ESWC 2020, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12124 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 203-207, 17th Extended Semantic Web Conference, ESWC 2020, Heraklion, Greece, 31/05/20. https://doi.org/10.1007/978-3-030-62327-2_35

Entity Typing Based on RDF2Vec Using Supervised and Unsupervised Methods. / Sofronova, Radina; Biswas, Russa; Alam, Mehwish et al.
The Semantic Web: ESWC 2020 Satellite Events - ESWC 2020, Revised Selected Papers. ed. / Andreas Harth; Valentina Presutti; Raphaël Troncy; Maribel Acosta; Axel Polleres; Javier D. Fernández; Josiane Xavier Parreira; Olaf Hartig; Katja Hose; Michael Cochez. Springer Science and Business Media Deutschland GmbH, 2020. p. 203-207 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12124 LNCS).

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

TY - GEN

T1 - Entity Typing Based on RDF2Vec Using Supervised and Unsupervised Methods

AU - Sofronova, Radina

AU - Biswas, Russa

AU - Alam, Mehwish

AU - Sack, Harald

PY - 2020/1/1

Y1 - 2020/1/1

N2 - Knowledge Graphs have been recognized as the foundation for diverse applications in the field of data mining, information retrieval, and natural language processing. So the completeness and the correctness of the KGs are of high importance. The type information of the entities in a KG, is one of the most vital facts. However, it has been observed that type information is often noisy or incomplete. In this work, the task of fine-grained entity typing is addressed by exploiting the pre-trained RDF2Vec vectors using supervised and unsupervised approaches.

AB - Knowledge Graphs have been recognized as the foundation for diverse applications in the field of data mining, information retrieval, and natural language processing. So the completeness and the correctness of the KGs are of high importance. The type information of the entities in a KG, is one of the most vital facts. However, it has been observed that type information is often noisy or incomplete. In this work, the task of fine-grained entity typing is addressed by exploiting the pre-trained RDF2Vec vectors using supervised and unsupervised approaches.

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DO - 10.1007/978-3-030-62327-2_35

M3 - Conference contribution

AN - SCOPUS:85097262676

SN - 9783030623265

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

SP - 203

EP - 207

BT - The Semantic Web

A2 - Harth, Andreas

A2 - Presutti, Valentina

A2 - Troncy, Raphaël

A2 - Acosta, Maribel

A2 - Polleres, Axel

A2 - Fernández, Javier D.

A2 - Xavier Parreira, Josiane

A2 - Hartig, Olaf

A2 - Hose, Katja

A2 - Cochez, Michael

PB - Springer Science and Business Media Deutschland GmbH

T2 - 17th Extended Semantic Web Conference, ESWC 2020

Y2 - 31 May 2020 through 4 June 2020

ER -

Sofronova R, Biswas R, Alam M, Sack H. Entity Typing Based on RDF2Vec Using Supervised and Unsupervised Methods. In Harth A, Presutti V, Troncy R, Acosta M, Polleres A, Fernández JD, Xavier Parreira J, Hartig O, Hose K, Cochez M, editors, The Semantic Web: ESWC 2020 Satellite Events - ESWC 2020, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2020. p. 203-207. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-62327-2_35

Entity Typing Based on RDF2Vec Using Supervised and Unsupervised Methods

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