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Semantic Web Search and Inductive Reasoning

机译：语义网搜索和归纳推理

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摘要

Extensive research activities are recently directed towards the Semantic Web as a future form of the Web. Consequently, Web search as the key technology of the Web is evolving towards some novel form of Semantic Web search. A very promising recent such approach is based on combining standard Web pages and search queries with ontological background knowledge, and using standard Web search engines as the main inference motor of Semantic Web search. In this paper, we further enhance this approach to Semantic Web search by the use of inductive reasoning techniques. This adds especially the important ability to handle inconsistencies, noise, and incompleteness, which are all very likely to occur in distributed and heterogeneous environments, such as the Web. We report on a prototype implementation of the new approach and experimental results.
机译：最近，广泛的研究活动针对语义网，作为语义网的未来形式。因此，Web搜索作为Web的关键技术正在向语义Web搜索的一些新颖形式发展。最近的一种非常有希望的方法是基于将标准网页和具有本体论背景知识的搜索查询结合在一起，并使用标准Web搜索引擎作为语义Web搜索的主要推理引擎。在本文中，我们将通过归纳推理技术进一步增强这种用于语义Web搜索的方法。这特别增加了处理不一致，噪声和不完整性的重要功能，这些不一致，噪声和不完整性很可能在分布式和异构环境（例如Web）中发生。我们报告了新方法的原型实现和实验结果。

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    Claudia dAmato; Nicola Fanizzi; Bettina Fazzinga; Georg Gottlob; Thomas Lukasiewicz;

  • 作者单位

    Dipartimento di Informatica, Universita degli Studi di Ban, Italy;

    Dipartimento di Informatica, Universita degli Studi di Ban, Italy;

    Dipartimento di Elettronica, Informatica e Sistemistica, University della Calabria, Italy;

    Department of Computer Science, University of Oxford, UK,Oxford-Man Institute of Quantitative Finance, University of Oxford, UK;

    Department of Computer Science, University of Oxford, UK;

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