Automatic extraction of requirements expressed in industrial standards : a way towards machine readable standards ?
The project, under industrial funding, presented in this publication aims at the semantic analysis of a normative document describing requirements applicable to electrical appliances. The objective of the project is to build a semantic approach to extract and automatically process information relate...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Journal Article |
| Language: | English |
| Published: |
24-12-2021
|
| Subjects: | |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The project, under industrial funding, presented in this publication aims at
the semantic analysis of a normative document describing requirements
applicable to electrical appliances. The objective of the project is to build a
semantic approach to extract and automatically process information related to
the requirements contained in the standard. To this end, the project has been
divided into three parts, covering the analysis of the requirements document,
the extraction of relevant information and creation of the ontology and the
comparison with other approaches. The first part of our work deals with the
analysis of the requirements document under study. The study focuses on the
specificity of the sentence structure, the use of particular words and
vocabulary related to the representation of the requirements. The aim is to
propose a representation facilitating the extraction of information, used in
the second part of the study. In the second part, the extraction of relevant
information is conducted in two ways: manual (the ontology being built by
hand), semi-automatic (using semantic annotation software and natural language
processing techniques). Whatever the method used, the aim of this extraction is
to create the concept dictionary, then the ontology, enriched as the document
is scanned and understood by the system. Once the relevant terms have been
identified, the work focuses on identifying and representing the requirements,
separating the textual writing from the information given in the tables. The
automatic processing of requirements involves the extraction of sentences
containing terms identified as relevant to a requirement. The identified
requirement is then indexed and stored in a representation that can be used for
query processing. |
|---|---|
| DOI: | 10.48550/arxiv.2112.13091 |