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DSont: DSpace to ontology transformation

机译:DSont:DSpace到本体的转换

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Semantic web facilitates the effective sharing and reuse of existing information. Institutional repositories (IRs) are built to organize and manage the intellectual output of an institute. The/ generally use relational databases for maintaining metadata of digital documents. The focus of this research is to share the information of an existing IR with other information systems for discovering common interests. To process the data in semantic context, a relational database needs to be transformed into an ontology. The existing relation to ontology transformation systems produces odd results if they are applied on an IR database because its schema is meta-schema. The proposed system first creates an intermediate database, having a normalized schema for the data model of an institute preserved in an IR database and then transforms it into an ontology. Finally semantic correspondence is established between entities of source and target ontologies in order to integrate them. The system has been implemented and evaluated for its correct and lossless transformation. The results demonstrate that the transformation is correct and the information is preserved.
机译:语义网有助于有效共享和重用现有信息。建立机构知识库(IR)来组织和管理机构的知识输出。该/通常使用关系数据库来维护数字文档的元数据。这项研究的重点是与其他信息系统共享现有IR的信息,以发现共同的兴趣。为了在语义上下文中处理数据,需要将关系数据库转换为本体。如果将现有的与本体转换系统的关系应用于IR数据库,则会产生奇怪的结果,因为其架构是元架构。所提出的系统首先创建一个中间数据库,该数据库具有用于IR数据库中保存的机构数据模型的规范化架构,然后将其转换为本体。最后,在源本体和目标本体的实体之间建立语义对应关系,以便将它们集成在一起。该系统已实施并经过评估,以确保正确无损地进行转换。结果表明,该变换是正确的,并且保留了信息。

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