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ONTOLOGY-BASED FRAMEWORK FOR DOCUMENT INDEXING

机译:基于本体文档索引的框架

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The work presented in this paper addresses a project of the Computer Centre CIRTIL who supported it. This company wants to save and capitalize its knowledge and its know-how about the production activities, especially concerning the technical incidents relating to software applications encountered during the exploitation time. Indeed using a well accessing documents base, actors will be able to better solve problems. Our purpose is to focus on ontology-based framework for indexing documents. The domain ontology OntoCIRTIL has a structure which supports a semantic model based on semantic links and inference mechanisms. In this paper, we present a new model called S3 which permits to model knowledge in upstream and index documents (or formalized knowledge) in downstream. To illustrate partial results, this model is then applied to OntoCIRTIL.
机译:本文提出的工作涉及支持它的计算机中心Cirtil的项目。这家公司希望节省并利用其知识及其专业知识,特别是关于在利用期间遇到的软件应用程序有关的技术事件。确实使用良好的访问文件库,演员将能够更好地解决问题。我们的目的是专注于索引文件的基于本体框架。域OntoCirtil的结构具有支持基于语义链路和推理机制的语义模型的结构。在本文中,我们提出了一个名为S3的新型号,允许在下游的上游和索引文件(或正式的知识)中建模知识。为了说明部分结果,然后将该模型应用于Ontocirtil。

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