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Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing

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Bibliographic Details
Main Authors: Allard, Oelen, Markus, Stocker, Sören, Auer
Format: Book
Language:English
Published: Springer 2023
Subjects:
TinyGenius
Natural language processing
Online Access:https://link.springer.com/article/10.1007/s00799-023-00360-7
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7674
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spelling oai:localhost:PNK-76742023-04-07T08:06:07Z Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing Allard, Oelen Markus, Stocker Sören, Auer TinyGenius Natural language processing CC BY Due to the growing number of scholarly publications, finding relevant articles becomes increasingly difficult. Scholarly knowledge graphs can be used to organize the scholarly knowledge presented within those publications and represent them in machine-readable formats. Natural language processing (NLP) provides scalable methods to automatically extract knowledge from articles and populate scholarly knowledge graphs. However, NLP extraction is generally not sufficiently accurate and, thus, fails to generate high granularity quality data. In this work, we present TinyGenius, a methodology to validate NLP-extracted scholarly knowledge statements using microtasks performed with crowdsourcing. TinyGenius is employed to populate a paper-centric knowledge graph, using five distinct NLP methods. 2023-04-07T08:06:07Z 2023-04-07T08:06:07Z 2023 Book https://link.springer.com/article/10.1007/s00799-023-00360-7 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7674 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic TinyGenius
Natural language processing
spellingShingle TinyGenius
Natural language processing
Allard, Oelen
Markus, Stocker
Sören, Auer
Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing
description CC BY
format Book
author Allard, Oelen
Markus, Stocker
Sören, Auer
author_facet Allard, Oelen
Markus, Stocker
Sören, Auer
author_sort Allard, Oelen
title Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing
title_short Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing
title_full Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing
title_fullStr Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing
title_full_unstemmed Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing
title_sort creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s00799-023-00360-7
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7674
_version_ 1762546699515985920
score 8.891145

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