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Keyword search has attracted a great deal of attention for retrieving XML data because it is a user-friendly mechanism. But Keyword search is hard to directly improve search quality because lots of keyword-matched nodes may not contribute to the results. XML includes rich semantic information these semantics are helpful to information retrieval process.This paper investigates the compelling problem...
Cloud provides dynamically computing services for large scales of data over the Internet. IaaS(information as a service) is one of utilities to provide information service in Cloud computing. Large scales of XML data are produced continually in Internet. Efficient information filtering services are needed. Previous XML filter approaches aim at XPath queries. However, many users tend to use keywords...
Keyword search is considered to be an effective information discovery method for both structured and semi-structured data. In XML keyword search, query semantics is based on the concept of Lowest Common Ancestor (LCA). However, naive LCA-based semantics leads to exponential computation and result size. In the literature, LCA-based semantic variants (e.g., ELCA and SLCA) were proposed, which define...
With the XML becomes a de-facto standard for exchanging and presenting information, the study on XML keyword search has become the focus of information retrieval. Several recent studies have finished the effective XML keyword search, but not all approach is effective in identifying return information, not all search result is satisfactory to user. In order to reduce the burden of user and satisfy...
With the growing popularity of XML and emergence of streaming data model, processing streaming XML has become an important topic. This paper proposes keyword search solution over XML fragment streams based on hole-filler model. Two efficient indexes, dual list and sketch are developed to further improve the performance: dual list indexes the candidate XML fragments to keep track of the relationship...
The study on XML keyword search gradually becomes the focus of information retrieval. Most previous XML keyword search algorithms are based on SLCA (smallest lowest common ancestor), but in the process of keyword search, we discover that some weakness or flaw exists in SLCA, it is summarized as follows: (1) the query result is absolutely accurate but it is meaningless. (2) The return information can't...
Meaningful and useful return information is extraordinary important for information retrieval and XML keyword search. In this work, based on analysis the structure of XML document, we propose an algorithm to classify return matched nodes, we present formal analysis on LCA (lowest common ancestor) nodes ranking and LCA sub tree refining to obtain precise return information. Experimental studies show...
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