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2013•Journal of SoftwareRequires access

Structural Join in the ‘XSQS’ Native XML Database

Dong Li, Xiuyu Lu, Xifeng Huang, Wenhao Chen

Open publisher page 2 citations

Abstract

Query processing has attracted significant attention since XML database is proposed. This paper focuses on structural join mainly in our native XML storage and query system (XSQS). A hybrid structural join strategy based on tree-merge algorithm and stack-tree algorithm is proposed. Moreover, a path index scheme is designed to accelerate the query processing. Experimental results show that the proposed hybrid strategy and the index have a good performance in query processing of XSQS.

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What this paper is about

Query processing has attracted significant attention since XML database is proposed. This paper focuses on structural join mainly in our native XML storage and query system (XSQS). A hybrid structural join strategy based on tree-merge algorithm and stack-tree algorithm is proposed. Moreover, a path index scheme is designed to accelerate the query processing. Experimental results show that the proposed hybrid strategy and the index have a good performance in query processing of XSQS.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Query processing has attracted significant attention since XML database is proposed. This paper focuses on structural join mainly in our native XML storage and query system (XSQS). A hybrid structural join strategy based on tree-merge algorithm and stack-tree algorithm is proposed. Moreover, a path index scheme is designed to accelerate the query processing. Experimental results show that the proposed hybrid strategy and the index have a good performance in query processing of XSQS.

Key concepts: Computer science, Join (topology), Database, XML database, XML, Information retrieval, World Wide Web, Mathematics

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