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    Semiautomated Development of Textual Requirements: Combined NLP and Multidomain Semantic Modeling Approach

    Source: Journal of Management in Engineering:;2022:;Volume ( 038 ):;issue: 005::page 04022053
    Author:
    Sachraa G. Borjigin
    ,
    Mark A. Austin
    ,
    Edward J. Zontek-Carney
    DOI: 10.1061/(ASCE)ME.1943-5479.0001076
    Publisher: ASCE
    Abstract: This paper presents a framework for the semiautomated development of textual requirements for the building construction industry, a domain in which quality of textual requirements has a direct bearing on the avoidance of unnecessary project losses and failures. The proposed framework is novel in three respects. First, it employs a combination of natural language processing (NLP) and template matching to restrict the range of ways in which textual requirements can be stated. Second, knowledge-based models work hand-in-hand with the NLP and templates to help designers fill in the details of a model that might be missing. Third, we envision the proposed approach being part of a multidomain semantic modeling and reasoning framework that includes the building construction domain and its connections to processes for project management and governance. To demonstrate the potential of the proposed approach to the practical development and construction of building systems, we developed a prototype software tool—the framework for linking ontology objects and textual requirements (FLOOR)—and procedures for the validation of individual textual requirements and groups of textual requirements related to construction tasks. This paper presents a new methodology and a prototype software framework for the semiautomated development and validation of textual requirements for the building construction industry. The work is novel in three respects: (1) it combines a natural language processing tool with a sentence-and-template matching technique to limit the ways in which textual requirements can be stated; (2) it employs a multidomain semantic modeling and reasoning framework to provide coverage in the range of textual requirements that can be handled; and (3) it employs a multidomain semantic modeling and reasoning framework that can work with individual requirements and groups of textual requirements. During the early phases of project development, these three factors work together to improve the quality of textual requirements, which in turn leads to improved levels of communication in construction management and avoidance of unnecessary project delays and failures.
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      Semiautomated Development of Textual Requirements: Combined NLP and Multidomain Semantic Modeling Approach

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    contributor authorSachraa G. Borjigin
    contributor authorMark A. Austin
    contributor authorEdward J. Zontek-Carney
    date accessioned2022-08-18T12:21:07Z
    date available2022-08-18T12:21:07Z
    date issued2022/07/12
    identifier other%28ASCE%29ME.1943-5479.0001076.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286472
    description abstractThis paper presents a framework for the semiautomated development of textual requirements for the building construction industry, a domain in which quality of textual requirements has a direct bearing on the avoidance of unnecessary project losses and failures. The proposed framework is novel in three respects. First, it employs a combination of natural language processing (NLP) and template matching to restrict the range of ways in which textual requirements can be stated. Second, knowledge-based models work hand-in-hand with the NLP and templates to help designers fill in the details of a model that might be missing. Third, we envision the proposed approach being part of a multidomain semantic modeling and reasoning framework that includes the building construction domain and its connections to processes for project management and governance. To demonstrate the potential of the proposed approach to the practical development and construction of building systems, we developed a prototype software tool—the framework for linking ontology objects and textual requirements (FLOOR)—and procedures for the validation of individual textual requirements and groups of textual requirements related to construction tasks. This paper presents a new methodology and a prototype software framework for the semiautomated development and validation of textual requirements for the building construction industry. The work is novel in three respects: (1) it combines a natural language processing tool with a sentence-and-template matching technique to limit the ways in which textual requirements can be stated; (2) it employs a multidomain semantic modeling and reasoning framework to provide coverage in the range of textual requirements that can be handled; and (3) it employs a multidomain semantic modeling and reasoning framework that can work with individual requirements and groups of textual requirements. During the early phases of project development, these three factors work together to improve the quality of textual requirements, which in turn leads to improved levels of communication in construction management and avoidance of unnecessary project delays and failures.
    publisherASCE
    titleSemiautomated Development of Textual Requirements: Combined NLP and Multidomain Semantic Modeling Approach
    typeJournal Article
    journal volume38
    journal issue5
    journal titleJournal of Management in Engineering
    identifier doi10.1061/(ASCE)ME.1943-5479.0001076
    journal fristpage04022053
    journal lastpage04022053-17
    page17
    treeJournal of Management in Engineering:;2022:;Volume ( 038 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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