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    Knowledge Acquisition, Representation and Transfer in the Metamodel for Software Development Methodologies
    (2019-10-01)
    Chantamit-O-Pas, Pattanapong
    At present, software development life cycle has many standards involved. However, during the process of creating components in an application, there are many problems that originate in the knowledge gap between stakeholders and developers. The problem of developing is issues such as ambiguity, misunderstanding, miscommunications, different domain skills, and conflicting goals. Metamodel are needed because the methodology contents must be purpose-fit and optimally adjusted for the users/stakeholders/organisation. Metamodel, a model of software model includes endeavor domain, method domain, and metamodel domain. It has contents for user's needs, including organization, project, and product aspect. Three interconnected meta-elements are work products, work units, and producers, as well as relationship between them. ISO/IEC 24744 is the standard that includes metamodels.Application software are now applied knowledge management components aiming to reduce the gap between users/stakeholders and software developer team. The knowledge can be shared and transferred to others. This paper, therefore, focuses on applying knowledge management metamodel for software development process. We will extend the metamodel concept in ISO/IEC 24744 for knowledge acquisition, knowledge representation, and knowledge transfer to WorkUnits and WorkProducts, thereby increasing their explicitness in the software development process. Tacit knowledge will be focused and propose knowledge metamodel will be shown.
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    A new similarity measure in formal concept analysis for case-based reasoning
    (2012-01-01)
    Tadrat, Jirapond
    ;
    Boonjing, Veera
    ;
    Pattaraintakorn, Puntip
    In this work, we aim at developing a better knowledge base by using formal concept analysis (FCA) and propose its new similarity measure based on vector model for case-based reasoning (CBR). The features of our proposed approaches are illustrated using a part of CBR system for both classification and problem-solving. Concept lattice knowledge base provides more accuracy classification for hierarchical data structure when comparing with non-hierarchical data structure. Dependency induced from our concept lattice knowledge base can help to suggest informative solutions for problem-solving CBR. In addition, our similarity measure improves the accuracy of classification CBR significantly when we perform experiments on the UCI data sets with cross validation. © 2011 Elsevier Ltd. All rights reserved.
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    Provision of Thai herbal recommendation based on an ontology
    (2010-08-23)
    Kato, Takumi
    ;
    Maneerat, Noppadol
    ;
    Varakulsiripunth, Ruttikorn
    ;
    Izumi, Satoru
    ;
    Takahashi, Hideyuki
    In Thailand, most of people like to use Thai herbs for their traditional medical treatments. However, since there are various sorts of Thai herbs, and the Thai herbal knowledge is complicated, it is difficult to find an appropriate one for each health condition. In order to help people to find suitable Thai herbs to cure the diseases, we have developed a system to provide herbal recommendations to users regarding their symptoms. In the development, we represented the Thai herbal knowledge in an ontology, and extracted new facts based on the ontology. Finally, the system provides appropriate herbal recommendations to users based on extracted facts and the ontology. This paper shows how we represented Thai herbal knowledge in an ontology, and how we extract the new facts based on the ontology, as well as how the system provides herbal recommendations to users. © 2010 IEEE.
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    Adaptation of design pattern retrieval using CBR and FCA
    (2009-12-01)
    Muangon, Weenawadee
    ;
    Intakosum, Sarun
    Software developers currently find design patterns through search tools for solving software design problem. However, these search tools still have keywordsearch problem. In this paper, we introduce the elementary idea to improve the design pattern retrieval tool. We propose the combination of Case Based Reasoning (CBR) and Formal Concept Analysis (FCA). Because of CBR lead to the smart solution and FCA provides flexible way to maintain indexing in the case base. © 2009 IEEE.