ELCA evaluation for keyword search on probabilistic XML data
نویسندگان
چکیده
منابع مشابه
Keyword Search on DAG-Compressed XML Data
With the growing size of publicly available XML document collections, fast keyword search becomes increasingly important. We present an indexing and keyword search technique that is suitable for DAGcompressed data and has the advantage that common subtrees have to be searched only once. We also present a performance evaluation that shows that our DAGcompressed index and search technique is supe...
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Many probabilistic XML data models have been proposed to store XML data with uncertainty information, and based on them the issues such as structured querying are extensively studied. As an alternative to structured querying, keyword search in probabilistic XML data needs to be concerned. In this paper we addressed the issue of keyword search on probabilistic XML data. The probabilistic XML dat...
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XPath&XQuery query processing on XML streams has become the hot topic and attracted many researchers’ attention. However, due to the relatively complex query language of XPath&XQuery , it is hard for users to get interesting data fragments via existing query interface without the prior knowledge of the schema information. As a result, it is becoming an impending issue to address the problem to ...
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Keyword search is a user-friendly way to query text, HTML, XML documents and even relational databases. The previous well-known semantic of LCA (Lowest Common Ancestor) is used for XML keyword search based on tree model. However, LCA cannot exploit the information in ID references, thus may return a large tree containing irrelevant results. Another keyword search approach based on general digra...
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ژورنال
عنوان ژورنال: World Wide Web
سال: 2012
ISSN: 1386-145X,1573-1413
DOI: 10.1007/s11280-012-0166-4