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oai:dspace.mit.edu:1721.1/1567452024-09-17T04:09:24Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023

Gupta, Amar Gustafson, Nicholas F. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 2024-09-16T13:46:33Z 2024-09-16T13:46:33Z 2024-05 2024-07-11T14:36:44.763Z https://hdl.handle.net/1721.1/156745 This thesis addresses the challenge of standardizing electronic component datasheets to improve systematic data extraction. The absence of uniformity in datasheet design complicates the process of systematically extracting critical information, leading to significant manual effort and potential errors. This research explores the current state of datasheet standardization and examines existing systematic data extraction efforts from semi-structured documents. It highlights the limitations of current methods and emphasizes the need for further standardization to facilitate accurate and efficient data extraction. The thesis proposes a detailed methodology for transitioning electronic component datasheets from semistructured to structured formats through standardization. By defining common standards and specific structures for different types of datasheets, this approach aims to enhance both human readability and machine processing. The thesis concludes by discussing the broader implications of these standards and their potential applications in other fields. Through this work, the goal is to streamline the datasheet creation process, reduce manual intervention, and ultimately improve the accuracy and efficiency of systematic data extraction in the electronic components industry. M.Eng. Massachusetts Institute of Technology Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Copyright retained by author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/ Standardization of Electronic Component Datasheets to Improve Systematic Data Extraction Thesis application/pdf Master Master of Engineering in Electrical Engineering and Computer Science Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="01ce2a1d-dfe3-4ee1-b363-9e8a4bee8b23"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Title>Standardization of Electronic Component Datasheets to Improve Systematic Data Extraction</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2024-05</PublicationDate> <Authors> <Author> <DisplayName>Gustafson, Nicholas F.</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>https://creativecommons.org/licenses/by-nc-nd/4.0/</License> <Abstract>This thesis addresses the challenge of standardizing electronic component datasheets to improve systematic data extraction. The absence of uniformity in datasheet design complicates the process of systematically extracting critical information, leading to significant manual effort and potential errors. This research explores the current state of datasheet standardization and examines existing systematic data extraction efforts from semi-structured documents. It highlights the limitations of current methods and emphasizes the need for further standardization to facilitate accurate and efficient data extraction. The thesis proposes a detailed methodology for transitioning electronic component datasheets from semistructured to structured formats through standardization. By defining common standards and specific structures for different types of datasheets, this approach aims to enhance both human readability and machine processing. The thesis concludes by discussing the broader implications of these standards and their potential applications in other fields. Through this work, the goal is to streamline the datasheet creation process, reduce manual intervention, and ultimately improve the accuracy and efficiency of systematic data extraction in the electronic components industry.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>