Development of a Framework to Understand Tables in Engineering Specification Documents

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Several works have been done in the last decades for understanding tables in documents, but most of them were not specifically designed to understand tables in engineering specification documents. Tables in engineering specifications have characteristics such as various table structures with restricted terms. A framework is developed to address the issues in understanding tables in engineering specification documents. The framework consists of three steps: (1) Identifying minimal tables, (2) classifying cells, and (3) extending a domain knowledge map. A modified XY-tree algorithm was developed to find minimal tables, and a neural network algorithm was adopted to classify cells into labels and data. Then, specific domain rules were developed to discover concepts and relationships from terms in the classified cells. It is assumed a domain ontology is given, and it is extended with new concepts and relationships extracted from tables. We illustrated how each step performed with engineering table examples. The proposed framework could be used for searching product specification and for discovering hidden knowledge from tables in engineering specification documents.
Publisher
MDPI
Issue Date
2020-09
Language
English
Article Type
Article
Citation

APPLIED SCIENCES-BASEL, v.10, no.18

ISSN
2076-3417
DOI
10.3390/app10186182
URI
http://hdl.handle.net/10203/278242
Appears in Collection
IE-Journal Papers(저널논문)
Files in This Item
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