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• W207227041 abstract "AbstractThis paper proposes an effective approach to ranked keyword search over graph-structured data which is getting much attraction in various applications. To provide more effective search results than the previous approaches, we suggest an extended answer structure which has no constraint on the number of keyword nodes and is based on a new relevance measure. For efficient keyword search, we also use an inverted list index which pre-computes connectivity and relevance information on the nodes in the graph. We present a query processing algorithm based on the pre-constructed inverted lists, which aggregates entries relevant to each node and finds top-k answer trees relevant to the given query. We also enhance the basic search method by storing additional information on the relevance of the related entries in the lists, in order to estimate the relevance score of each node more closely and to find top-k answers more efficiently. We show by experiments that the proposed keyword search method can provide effective top-k search results over large amount of graph-structured data with good execution performance.KeywordsGraph-structured DataKeyword SearchTop-k Query Processing" @default.
• W207227041 created "2016-06-24" @default.
• W207227041 creator A5068718592 @default.
• W207227041 date "2013-01-01" @default.
• W207227041 modified "2023-09-27" @default.
• W207227041 title "An Effective Keyword Search Method for Graph-Structured Data Using Extended Answer Structure" @default.
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• W207227041 doi "https://doi.org/10.1007/978-3-642-39640-3_45" @default.
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