An ontological approach to engineering requirement representation and analysis

Mukhopadhyay, Alolika; Ameri, Farhad

doi:10.1017/s0890060416000330

Cited by 3 publications

(3 citation statements)

References 22 publications

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“…While this study aimed at an application in the medical field to demonstrate the effectiveness of the approach, it can be applied in other cases of information acquisition such as car diagnosis or software specification (Mukhopadhyay and Ameri, 2016). The goal is to enable the system to automatically understand a human language through domain ontologies which cater the necessary expertise, combined with the accurate engineered meta-model which defines the minimum requirements of information to acquire.…”

Section: Results Discussionmentioning

confidence: 99%

Ontology-based approach to enhance medical web information extraction

Otmani

Si-Mohammed

Comparot

et al. 2019

IJWIS

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Purpose The purpose of this study is to propose a framework for extracting medical information from the Web using domain ontologies. Patient–Doctor conversations have become prevalent on the Web. For instance, solutions like HealthTap or AskTheDoctors allow patients to ask doctors health-related questions. However, most online health-care consumers still struggle to express their questions efficiently due mainly to the expert/layman language and knowledge discrepancy. Extracting information from these layman descriptions, which typically lack expert terminology, is challenging. This hinders the efficiency of the underlying applications such as information retrieval. Herein, an ontology-driven approach is proposed, which aims at extracting information from such sparse descriptions using a meta-model. Design/methodology/approach A meta-model is designed to bridge the gap between the vocabulary of the medical experts and the consumers of the health services. The meta-model is mapped with SNOMED-CT to access the comprehensive medical vocabulary, as well as with WordNet to improve the coverage of layman terms during information extraction. To assess the potential of the approach, an information extraction prototype based on syntactical patterns is implemented. Findings The evaluation of the approach on the gold standard corpus defined in Task1 of ShARe CLEF 2013 showed promising results, an F-score of 0.79 for recognizing medical concepts in real-life medical documents. Originality/value The originality of the proposed approach lies in the way information is extracted. The context defined through a meta-model proved to be efficient for the task of information extraction, especially from layman descriptions.

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Section: Results Discussionmentioning

confidence: 99%

Ontology-based approach to enhance medical web information extraction

Otmani

Si-Mohammed

Comparot

et al. 2019

IJWIS

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“…Driven by the motivation of functional obsolescence and changes of CRs, many objectives have been considered in product redesign, such as improving materials and structures for remanufacturing (Shin et al , 2015; Paras et al , 2018; Zhang et al , 2021), seeking product innovations (Smith et al , 2012; Dong et al , 2021; Wang, 2021), reducing costs (Janz et al , 2005; Lee et al , 2011; Zhang et al ., 2019 b ), and reducing the environmental impacts (Bovea and Wang, 2007; Borchardt et al , 2011; Yang et al , 2011). However, final redesigned products based on these methods are not sufficiently competitive in marketplace, as customer requirements cannot be clearly identified and satisfied (Yan et al , 2002; Mukhopadhyay and Ameri, 2016), that is, critical DPs of these products cannot be well identified and improved for achieving customer requirements sufficiently and effectively (Jiang et al , 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Product redesign considering the sensitivity of customer satisfaction

Sha

Zhao

Zhang

2022

AIEDAM

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Redesign is a widespread strategy for product improvement whose essence is the optimization of design parameters (DPs) considering the trade-off between customer satisfaction and cost concerns. Similar to the relation between customer requirements (CRs) and customer satisfaction, the sensitivity of customer satisfaction is diverse to different DPs. In this study, a sensitivity-enhanced customer satisfaction function is defined for redesign model construction. This fills the research gap in product redesign that lacking of consideration and quantification of customer satisfaction sensitivity. First, a sensitivity index is defined based on Kano indices for analyzing sensitivity of customer satisfaction in different DP categories. Second, traditional customer satisfaction function has been improved by injecting the sensitivity of customer satisfaction to the variations of DPs. Subsequently, a DP optimization model is established to maximize shared surplus between customers and enterprise. Finally, a case study involving the redesign of a braking system of automobile is implemented to demonstrate the effectiveness and rationality of the proposed approach. The results show that the improved customer satisfaction function can reflect a more nuanced relationship between customer satisfaction and fulfilment level of DPs. Additionally, the proposed redesign model helps designers determine the target values of DPs under a better trade-off and enhances enterprise competitiveness.

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“…The authors developed a desktop tool named "RAPID", the limitation of this tool is that each sentence in the requirements must match a specific structure. In [9], the authors develop a formal Web Ontology Language ontology for the standard representation of engineering requirements. The proposed ontology uses explicit semantics that makes the ontology amenable to automated reasoning.…”

Section: Introductionmentioning

confidence: 99%

From User Stories to UML Diagrams Driven by Ontological and Production Model

Nasiri¹,

Rhazali²,

Lahmer³

et al. 2021

IJACSA

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The User Story format has become the most popular way of expressing requirements in Agile methods. However, a requirement does not state how a solution will be physically achieved. The purpose of this paper is to present a new approach that automatically transforms user stories into UML diagrams. Our approach aims to automatically generate UML diagrams, namely class, use cases, and package diagrams. User stories are written in natural language (English), so the use of a natural language processing tool was necessary for their processing. In our case, we have used Stanford core NLP. The automation approach consists of the combination of rules formulated as a predicate and an ontological model. Prolog rules are used to extract relationships between classes and eliminate those that are at risk of error. To extract the design elements, the prolog rules used dependencies offered by Stanford core NLP. An ontology representing the components of the user stories was created to identify equivalent relationships and inclusion use cases. The tool developed was implemented in the Python programming language and has been validated by several case studies.

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An ontological approach to engineering requirement representation and analysis

Cited by 3 publications

References 22 publications

Ontology-based approach to enhance medical web information extraction

Ontology-based approach to enhance medical web information extraction

Product redesign considering the sensitivity of customer satisfaction

From User Stories to UML Diagrams Driven by Ontological and Production Model

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