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A Thematic Guided Tour Model for Contextualized Concept Presentations

机译:主题化的概念化导览模型

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Since adaptive hypermedia systems generally confront with the difficulty to combine concept-based hyperspace generation with multi-concept indexing, we propose in this article an adaptive hypermedia model that achieves a fruitful separation of the resource space and the user space. On the one hand, the resource space benefits a powerful indexing model. On the other hand, the user space is generated from the knowledge space as thematic guided tours specified at a schema level. These guided tours take advantage of the indexing model to contextualize concept presentations and ensure global and local coherence. The model fulfills the requirements of an open, time-evolving, multi-author AHS and can be applied to a community web context.
机译:由于自适应超媒体系统通常面临将基于概念的超空间生成与多概念索引相结合的困难,因此我们在本文中提出了一种自适应超媒体模型,该模型可实现资源空间和用户空间的有效分离。一方面,资源空间有益于强大的索引模型。另一方面,从知识空间生成用户空间,作为在模式级别指定的主题导览。这些导览游利用索引模型来使概念介绍上下文化,并确保全局和本地一致性。该模型满足了开放的,随时间变化的多作者AHS的要求,并且可以应用于社区Web上下文。

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