Standardization of Electronic Component Datasheets to Improve Systematic Data Extraction

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.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2024

Author dc:creator

• Gustafson, Nicholas F.

Advisor dc:contributor.advisor

• Gupta, Amar

Statement dc:rights

• Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
• Copyright retained by author(s)

Licence dc:rights.uri

• https://creativecommons.org/licenses/by-nc-nd/4.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/156745

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/156745