Correction to: Knowledge Graph and Deep Learning-based Text-to-GraphQL Model for Intelligent Medical Consultation Chatbot (Information Systems Frontiers, (2024), 26, 1, (137-156), 10.1007/s10796-022-10295-0)

Pin Ni; Ramin Okhrati; Steven Guan; Victor Chang

doi:10.1007/s10796-022-10319-9

Correction to: Knowledge Graph and Deep Learning-based Text-to-GraphQL Model for Intelligent Medical Consultation Chatbot (Information Systems Frontiers, (2024), 26, 1, (137-156), 10.1007/s10796-022-10295-0)

Pin Ni
, Ramin Okhrati
, Steven Guan
, Victor Chang^*

^*Corresponding author for this work

Department of Computing

University College London
Aston University

Research output: Contribution to journal › Comment/debate

Abstract

1. To avoid confusion, all abbreviations “GQL” throughout the text should be standardized as “GraphQL”, and the word “Graph Query Language” in the first sentence of the abstract should be standardized as “Graph + QL (Query Language)”. Also, it should be emphasized that the “Neo4j GraphQL Library” (with Cypher) is one of the necessary components. 2. Due to a typesetting mistake, the title of Section 4.1.2 Spider Dataset should be “4.1.2 Other Datasets used to Test the Effect of the Model”. The original version has been corrected.

Original language	English
Pages (from-to)	157
Number of pages	1
Journal	Information Systems Frontiers
Volume	26
Issue number	1
DOIs	https://doi.org/10.1007/s10796-022-10319-9
Publication status	Published - Feb 2024

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title = "Correction to: Knowledge Graph and Deep Learning-based Text-to-GraphQL Model for Intelligent Medical Consultation Chatbot (Information Systems Frontiers, (2024), 26, 1, (137-156), 10.1007/s10796-022-10295-0)",

abstract = "1. To avoid confusion, all abbreviations “GQL” throughout the text should be standardized as “GraphQL”, and the word “Graph Query Language” in the first sentence of the abstract should be standardized as “Graph + QL (Query Language)”. Also, it should be emphasized that the “Neo4j GraphQL Library” (with Cypher) is one of the necessary components. 2. Due to a typesetting mistake, the title of Section 4.1.2 Spider Dataset should be “4.1.2 Other Datasets used to Test the Effect of the Model”. The original version has been corrected.",

author = "Pin Ni and Ramin Okhrati and Steven Guan and Victor Chang",

note = "Publisher Copyright: {\textcopyright} 2022, Springer Science+Business Media, LLC, part of Springer Nature.",

year = "2024",

month = feb,

doi = "10.1007/s10796-022-10319-9",

language = "English",

volume = "26",

pages = "157",

journal = "Information Systems Frontiers",

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Correction to: Knowledge Graph and Deep Learning-based Text-to-GraphQL Model for Intelligent Medical Consultation Chatbot (Information Systems Frontiers, (2024), 26, 1, (137-156), 10.1007/s10796-022-10295-0). / Ni, Pin; Okhrati, Ramin; Guan, Steven et al.
In: Information Systems Frontiers, Vol. 26, No. 1, 02.2024, p. 157.

Research output: Contribution to journal › Comment/debate

TY - JOUR

T1 - Correction to

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AU - Ni, Pin

AU - Okhrati, Ramin

AU - Guan, Steven

AU - Chang, Victor

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N2 - 1. To avoid confusion, all abbreviations “GQL” throughout the text should be standardized as “GraphQL”, and the word “Graph Query Language” in the first sentence of the abstract should be standardized as “Graph + QL (Query Language)”. Also, it should be emphasized that the “Neo4j GraphQL Library” (with Cypher) is one of the necessary components. 2. Due to a typesetting mistake, the title of Section 4.1.2 Spider Dataset should be “4.1.2 Other Datasets used to Test the Effect of the Model”. The original version has been corrected.

AB - 1. To avoid confusion, all abbreviations “GQL” throughout the text should be standardized as “GraphQL”, and the word “Graph Query Language” in the first sentence of the abstract should be standardized as “Graph + QL (Query Language)”. Also, it should be emphasized that the “Neo4j GraphQL Library” (with Cypher) is one of the necessary components. 2. Due to a typesetting mistake, the title of Section 4.1.2 Spider Dataset should be “4.1.2 Other Datasets used to Test the Effect of the Model”. The original version has been corrected.

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U2 - 10.1007/s10796-022-10319-9

DO - 10.1007/s10796-022-10319-9

M3 - Comment/debate

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SN - 1387-3326

VL - 26

SP - 157

JO - Information Systems Frontiers

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IS - 1

ER -

Correction to: Knowledge Graph and Deep Learning-based Text-to-GraphQL Model for Intelligent Medical Consultation Chatbot (Information Systems Frontiers, (2024), 26, 1, (137-156), 10.1007/s10796-022-10295-0)

Abstract

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