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首页> 外文期刊>International Journal of Cooperative Information Systems >SEMANTIC INTEROPERABILITY AND INFORMATION FLUIDITY
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SEMANTIC INTEROPERABILITY AND INFORMATION FLUIDITY

机译：语义互操作性和信息流

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摘要

Ontologies are developed to describe data semantics on the Semantic Web. Given the distributed nature and scale of the Semantic Web, a large number of ontologies with different terminologies and structures will be created to describe the same concepts and domains. Without semantic mapping, information fluidity within the Web could be blocked at the boundaries of these ontologies. Therefore, ontology mapping is needed to translate datasets represented by disparate ontologies. We believe that over time communities will incrementally build an ontology mapping between select ontologies based on their own communication interests. How will these interest-driven mapping activities eventually change semantic interoperability and information fluidity across the Web? This paper proposes metrics to quantify information fluidity and builds an analytical model with "small-world" graph theory to analyze the growth of the Semantic Web, Further with this model, we analyze how information fluidity can evolve by "market-driven" semantic mapping activities occurring across the Web. Our results can be useful in evaluating mapping efforts needed for large-scale heterogeneous information systems. One conclusion, based on this model, is that the development of decentralized ontology mappings can lead to significant information fluidity within the Semantic Web.
机译：开发本体来描述语义网上的数据语义。考虑到语义网的分布式性质和规模，将创建大量具有不同术语和结构的本体来描述相同的概念和领域。如果没有语义映射，则可以在这些本体的边界处阻止Web内的信息流动性。因此，需要本体映射来翻译由不同本体表示的数据集。我们相信，随着时间的流逝，社区将根据自己的通信兴趣在选定的本体之间逐步建立本体映射。这些兴趣驱动的映射活动将如何最终改变整个Web上的语义互操作性和信息流动性？本文提出了量化信息流动性的指标，并使用“小世界”图论建立了一个分析模型，以分析语义网的增长。此外，通过该模型，我们分析了信息流动性如何通过“市场驱动”语义映射演变。网络上发生的活动。我们的结果可用于评估大规模异构信息系统所需的映射工作。基于该模型的一个结论是，分散的本体映射的发展可以导致语义网内大量的信息流动。

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