A novel framework of knowledge transfer system for construction projects based on knowledge graph and transfer learning
نویسندگان
چکیده
For construction enterprises, efficient knowledge sharing among projects not only effectively improves enterprise technology, level of management and competitiveness, but also promotes their sustainable development. Given the many benefits management, enterprises have an urgent need for project methods tools. In this study, we build automated intelligent framework a transfer system based on graph learning. This aims to solve problem ineffective that is encountered in sharing. First, discover relationship further obtain relationships projects, design domain ontology example. Then, combining data distance distribution with background, new similarity measurement algorithm (PBG-MMD), which can guide selection source domain. Finally, learning method developed automatically select according context. The provides effective answer “what transfer” solution address “how during transfer. Through verification practical case data, proposed successfully realizes approach enterprises.
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28 29 The shift to more distributed forms of organizations 30 and the prevalence of interorganizational relation31 ships have led to an increase in the transfer of 32 V. Sambamurthy and Mani Subramani were the 33 accepting senior editors for this paper. 34 asymmetric and incomplete knowledge information between entities. Because of this asymmetry and incompleteness, parties seeking knowledge ma...
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ژورنال
عنوان ژورنال: Expert Systems With Applications
سال: 2022
ISSN: ['1873-6793', '0957-4174']
DOI: https://doi.org/10.1016/j.eswa.2022.116964