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Retrieval and Evaluation of Target Component Based on Ontology Knowledge

Published: 25 February 2022 Publication History
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  • Abstract

    Software reuse most focuses on component based software development (CBSD). However, it's not so accurate and efficient in the process, to solve this problem, this paper proposes an intelligent knowledge-driven method of target component retrieval and evaluation. This method is based on Ontology component description. With the help of the knowledge graph, a semantic mapping is formed between the component to be queried and the component description library, so the entity component is located. In order to measure the component matching performance, it gives multi-angle evaluation of queried candidate components by an evaluation index system. Based on component query information, it makes the searching target clearer, extends the semantic scope of components to be queried. In order to assembly components, a multi agent system (MAS) is also established. The result shows that this method not only makes the component retrieval process higher recall and precision, but also makes the component retrieval process more intelligent by meeting the assembly requirement.

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    Cited By

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    • (2023)Emergency Decision Making for Electric Power Personal Accidents Based on Ontology and Case-Based ReasoningSustainability10.3390/su15141140415:14(11404)Online publication date: 22-Jul-2023

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    cover image ACM Other conferences
    ACAI '21: Proceedings of the 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence
    December 2021
    699 pages
    ISBN:9781450385053
    DOI:10.1145/3508546
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 25 February 2022

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    Author Tags

    1. MAS
    2. Ontology
    3. artificial intelligence
    4. knowledge graph
    5. software reuse

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    ACAI'21

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    Overall Acceptance Rate 173 of 395 submissions, 44%

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    View all
    • (2023)Emergency Decision Making for Electric Power Personal Accidents Based on Ontology and Case-Based ReasoningSustainability10.3390/su15141140415:14(11404)Online publication date: 22-Jul-2023

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