A Semantic Faceted Search with Rule-based Inference
A Semantic Faceted Search with Rule-based Inference
复制标题
具有基于规则的推理的语义分面搜索
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Pin
中科院分区：
文献类型：
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作者：
Yung;Pin
语义搜索是近年来语义网研究的一个热点。分类方法在搜索过程的开始阶段起着消除不相关信息歧义的关键作用。然而，与Folksonomy相关的应用程序面临许多障碍。本研究试图利用现有的语义技术来消除Folksonomy带来的问题。我们还重点讨论了如何在互联网上有效地集成异构本体以获得领域知识的完整性。基于面向面分类和本体构建的方法，抽象出面向面逻辑层，以加强范畴框架，按照一系列步骤组织现有的可用本体。结果表明，我们的方法可以促进不一致甚至异构本体的集成。本文还总结了facet浏览器完全符合的选择合适facet的原则，从而获得更好的语义搜索结果。
Semantic Search has become an active research of Semantic Web in recent years. The classification methodology plays a pretty critical role in the beginning of search process to disambiguate irrelevant information. However, the applications related to Folksonomy suffer from many obstacles. This study attempts to eliminate the problems resulted from Folksonomy using existing semantic technology. We also focus on how to effectively integrate heterogeneous ontologies over the Internet to acquire the integrity of domain knowledge. A faceted logic layer is abstracted in order to strengthen category framework and organize existing available ontologies according to a series of steps based on the methodology of faceted classification and ontology construction. The result showed that our approach can facilitate the integration of inconsistent or even heterogeneous ontologies. This paper also generalizes the principles of picking appropriate facets with which our facet browser completely complies so that better semantic search result can be obtained.