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Towards an Ontology for Annotating Degradation Phenomena

机译:朝着注释退化现象的本体论

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In the field of built heritage, a huge amount of data describes the state of monuments: documentary data (texts, sounds, images) as well as analytic data from sensors, provides historical, archeological and constructive information. These data, produced by experts coming from several fields, are the foundation for the creation of new information through scientific observations. The problem is that these data are not related nor spatialized. Nowadays we are able to generate extreme accurate 3D model with throughout images-based or laser scanner acquisition. However these 3D models do not carry information regarding their morphological complexities. The design of an ontology for the conservation domain seems to be the best solution in order to obtain understandable entities thanks to their own data related between them. This article present the first attempt of a development of a web information system based on spatialized images semantic annotations tool, related to a domain ontology describing knowledge regarding stone degradation phenomena. Our approach is to produce a domain ontology able to document and therefore provide a framework able to help the decisionmaking process of experts in the cultural heritage conservation domain. The information annotated with the use of this ontology can enrich not only the scientific observations, but also to help to create new knowledge. In this way, it is possible to link and gather quantitative and qualitative aspect into only one information system. We will propose several example and queries able to exploit the reasoning power of the above information system.
机译:在文物建筑领域,庞大的数据量描述古迹的状态:文献资料(文字,声音,图像)以及来自传感器的分析数据,提供历史,考古和建设性的信息。这些数据,通过专家几个字段来生产的,是创造的,通过科学观测新的信息的基础。问题是,这些数据是不相关的,也没有空间化。如今,我们能够产生在整个图像或基于激光扫描仪采集极端精确的三维模型。然而,这些3D模型不履行有关其形态的复杂信息。养护领域本体的设计似乎是为了获得理解实体感谢他们之间的关系他们自己的数据的最佳解决方案。这本条款基于空间化的图像语义标注工具,涉及到本体描述关于石退化现象的知识域网络信息系统的开发的第一次尝试。我们的做法是生产本体能够在域文件,因此提供能够帮助专家的决策过程中的文化遗产保护领域的框架。与使用这种本体论的注释信息可以丰富不仅科学观测,同时也有助于创造新的知识。这样一来,就可以定量和定性方面联系起来,并收集到只有一个信息系统。我们将提出几个例子,查询能够利用上述信息系统的推理能力。

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