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Merging Topics in Well-Formed XML Topic Maps

机译:在格式良好的XML主题图中合并主题

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摘要

Topic Maps are a standardized modelling approach for the semantic annotation and description of WWW resources. They enable an improved search and navigational access on information objects stored in semi-structured information spaces like the WWW. However, the according standards ISO 13250 and XTM (XML Topic Maps) lack formal semantics, several questions concerning e.g. subclassing, inheritance or merging of topics are left open. The proposed TMUML meta model, directly derived from the well known UML meta model, is a meta model for Topic Maps which enables semantic constraints to be formulated in OCL (object constraint language) in order to answer such open questions and overcome possible inconsistencies in Topic Map repositories. We will examine the XTM merging conditions and show, in several examples, how the TMUML meta model enables semantic constraints for Topic Map merging to be formulated in OCL. Finally, we will show how the TM validation process, i.e., checking if a Topic Map is well formed, includes our merging conditions.
机译:主题图是用于WWW资源的语义注释和描述的标准化建模方法。它们使存储在半结构化信息空间(如WWW)中的信息对象的搜索和导航访问得以改进。然而,根据标准ISO 13250和XTM(XML主题图)缺乏形式语义,例如涉及一些问题。主题的子类化,继承或合并保持开放状态。所提出的TMUML元模型是直接从众所周知的UML元模型派生的,它是用于主题图的元模型,该主题图使语义约束能够以OCL(对象约束语言)形式表达,以便回答此类开放性问题并克服主题中可能存在的不一致之处地图存储库。我们将研究XTM合并条件,并在几个示例中显示TMUML元模型如何使用于主题图合并的语义约束能够在OCL中制定。最后,我们将展示TM验证过程(即检查主题图是否格式正确)如何包含我们的合并条件。

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