☆ 4.5 Article

AI-Based Knowledge Extraction from the Bioprinting Literature for Identifying Technology Trends

3D PRINTING AND ADDITIVE MANUFACTURING (2023)

FabNER: information extraction from manufacturing process science domain literature using named entity recognition

Aman Kumar et al.

Summary: This article discusses the exponential growth of manufacturing science digital articles available since the 1990s and the challenges of synthesizing this knowledge for novice engineers or experienced researchers. It introduces the use of a supervised machine learning approach to categorize manufacturing science related scientific abstracts and the long term goal of extracting valuable knowledge from millions of manufacturing documents for programmatic query and retrieval.

JOURNAL OF INTELLIGENT MANUFACTURING (2022)

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Article Computer Science, Interdisciplinary Applications

i-Dataquest: A heterogeneous information retrieval tool using data graph for the manufacturing industry

Lise Kim et al.

Summary: The manufacturing industry requires access to data to carry out activities and generate new value-added knowledge, but is hindered by the large and growing volume of heterogeneous data. Data is distributed across various information systems, making it challenging to explore relationships during the information retrieval process.

COMPUTERS IN INDUSTRY (2021)

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Review Physics, Applied

Data-driven materials research enabled by natural language processing and information extraction

Elsa A. Olivetti et al.

APPLIED PHYSICS REVIEWS (2020)

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Article Computer Science, Information Systems

KnowIME: A System to Construct a Knowledge Graph for Intelligent Manufacturing Equipment

Hehua Yan et al.

IEEE ACCESS (2020)

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Article Chemistry, Medicinal

Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature

L. Weston et al.

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2019)

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Article Engineering, Biomedical

Opportunities and challenges of translational 3D bioprinting

Sean V. Murphy et al.

Nature Biomedical Engineering (2019)

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Review Materials Science, Biomaterials

Bioinks for 3D bioprinting: an overview

P. Selcan Gungor-Ozkerim et al.

BIOMATERIALS SCIENCE (2018)

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AI-Based Knowledge Extraction from the Bioprinting Literature for Identifying Technology Trends

相关参考文献

FabNER: information extraction from manufacturing process science domain literature using named entity recognition

i-Dataquest: A heterogeneous information retrieval tool using data graph for the manufacturing industry

Data-driven materials research enabled by natural language processing and information extraction

KnowIME: A System to Construct a Knowledge Graph for Intelligent Manufacturing Equipment

Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature

Opportunities and challenges of translational 3D bioprinting

Bioinks for 3D bioprinting: an overview

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