Semantic knowledge models for decision making in asset management: IM‐SAFE Knowledge Base

نویسندگان

چکیده

Abstract Against the backdrop of physical ageing, asset management organizations not only struggle with scattered object‐related data across incompatible software and models, but also dispersed, often missing, insights from domain experts. There is a large volume already available particularly at National Road Authorities i.e. object characteristics, inspection measurement results, usage records. Yet this distributed, has complex varying structures, it takes cumbersome effort to find obtain for particular decision. Semantic knowledge models aim capture information represent via class definitions, their attributes, relationships in instances. Such are used create bases, where different technologies utilized. In IM‐SAFE project, base created based on Wiki Platform. It captures concerning structural analysis state 99 civil structures Europe. paper, step‐by‐step methodology provided build base. The paper involves acquisition, collection, modelling, populating datasets quality assurance steps. will conclude future implications make expandable widely management.

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ژورنال

عنوان ژورنال: ce/papers

سال: 2023

ISSN: ['2509-7075']

DOI: https://doi.org/10.1002/cepa.2212