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Returning Clustered Results for Keyword Search on XML Documents

机译:返回用于XML文档的关键字搜索的聚类结果

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Keyword search is an effective paradigm for information discovery and has been introduced recently to query XML documents. In this paper, we address the problem of returning clustered results for keyword search on XML documents. We first propose a novel semantics for answers to an XML keyword query. The core of the semantics is the conceptually related relationship between keyword matches, which is based on the conceptual relationship between nodes in XML trees. Then, we propose a new clustering methodology for XML search results, which clusters results according to the way they match the given query. Two approaches to implement the methodology are discussed. The first approach is a conventional one which does clustering after search results are retrieved; the second one clusters search results actively, which has characteristics of clustering on the fly. The generated clusters are then organized into a cluster hierarchy with different granularities to enable users locate the results of interest easily and precisely. Experimental results demonstrate the meaningfulness of the proposed semantics as well as the efficiency of the proposed methods.
机译:关键字搜索是信息发现的有效范例,最近已引入关键字搜索来查询XML文档。在本文中,我们解决了在XML文档上返回聚类结果以进行关键字搜索的问题。我们首先为XML关键字查询的答案提出一种新颖的语义。语义的核心是关键字匹配之间的概念相关关系,该关系基于XML树中节点之间的概念关系。然后,我们为XML搜索结果提出了一种新的聚类方法,该方法根据结果与给定查询的匹配方式对结果进行聚类。讨论了实现该方法的两种方法。第一种方法是常规方法,该方法在检索到搜索结果后进行聚类;第二个是主动对搜索结果进行聚类,具有动态聚类的特征。然后将生成的集群组织成具有不同粒度的集群层次结构,以使用户能够轻松,准确地找到感兴趣的结果。实验结果证明了所提出的语义的意义以及所提出方法的效率。

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