A Semantic Cache Framework for Secure XML Queries

Feng, Jianhua; Li, Guoliang; Ta, Na

doi:10.1007/s11390-008-9187-y

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…Several alternative semantic cache architectures for semi-structured data were presented in Feng, Li, and Ta (2008), Hristidis (2002), Li and Feng (2010), Sumalatha et al (2007), Xu (2005), Zhan et al (2006). The problem of partial query matching was studied in Sumalatha et al (2007).…”

Section: Related Workmentioning

confidence: 99%

A Performance Analysis of Semantic Caching for XML Query Processing

Novikov

Pigul

Yarygina

2013

International Journal of Knowledge-Based Organizations

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Caching is important for any system attempting to achieve high performance. The semantic caching is an approach trying to benefit from the certain knowledge of data semantics. The authors expect that this information might enable reuse of semantically close data rather than exactly equal to cached data in the traditional system. However, the major obstacle for extensive application of semantic caching for any data model or query language is the computational complexity of the query containment problem, which is, in general, undecidable. In this article the authors introduce and compare three approximate conservative query matching algorithms for semantic caching of semi-structured queries. The authors then analyze their applicability for distributed query processing. Based on this analysis, the authors outline few scenarios where semantic caching can be beneficial for query processing in a distributed system of heterogeneous semi-structured information resources.

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Section: Related Workmentioning

confidence: 99%

A Performance Analysis of Semantic Caching for XML Query Processing

Novikov

Pigul

Yarygina

2013

International Journal of Knowledge-Based Organizations

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“…Considering Q 1 , as SubQueryMatch(Infix(V, 1), 3)) is true, QR 2 1 = VR 2 1 and QR 3 1 = VR 3 1 . We get FVR MP in line 8 by processing the main path of view V as illustrated in Fig.6.…”

Section: Ample Suppose P = A[c[d]/e]/b[e[f ]/G] and Q = A[c[d][e]]/bmentioning

confidence: 99%

“…In a relational database system, the in-memory buffer cache is crucial for good performance, and a similar buffer cache can be employed in XML systems. Maintaining semantic cache of query results has been proposed [1][2][3] . They address the computational cost and complement the buffer cache.…”

Section: Introductionmentioning

confidence: 99%

An Effective Semantic Cache for Exploiting XPath Query/View Answerability

Feng

2010

J. Comput. Sci. Technol.

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Maintaining a semantic cache of materialized XPath views inside or outside the database is a novel, feasible and efficient approach to facilitating XML query processing. However, most of the existing approaches incur the following disadvantages: 1) they cannot discover enough potential cached views sufficiently to effectively answer subsequent queries; or 2) they are inefficient for view selection due to the complexity of XPath expressions. In this paper, we propose SCEND, an effective Semantic Cache based on dEcompositioN and Divisibility, to exploit the XPath query/view answerability. The contributions of this paper include: 1) a novel technique of decomposing complex XPath queries into some much simpler ones, which can facilitate discovering more potential views to answer a new query than the existing methods and thus can adequately exploit the query/view answerability; 2) an efficient view-section method by checking the divisibility between two positive numbers assigned to queries and views; 3) a cache-replacement approach to further enhancing the query/view answerability; 4) an extensive experimental study which demonstrates that our approach achieves higher performance and outperforms the existing state-of-the-art alternative methods significantly.

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“…While some research has defined the concept of environmental management accounting and has reported current practices [2], other studies have examined the role of accounting in environmental management [3,4] and issues related to environmental cost accounting [5,6]. Some believe the environmental performance evaluation have many benefits [7].…”

Section: Introductionmentioning

confidence: 99%

The Environmental Performance Evaluation of a Silicon Production Enterprise Based on Fuzzy Comprehensive Evaluation and Entropy Weight Method

Yang

Guo

Yan

2012

AMR

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This paper designs a comprehensive evaluation system of environmental performance fitting for the silicon production enterprise, and uses the entropy and fuzzy comprehensive evaluation method to assess and analyze the environmental performance of a silicon production enterprise A. Finally we find that A’s environmental performance is worse, and then on put forward some suggestions that may help to improve the enterprise’s environmental performance.

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A Semantic Cache Framework for Secure XML Queries

Cited by 5 publications

References 14 publications

A Performance Analysis of Semantic Caching for XML Query Processing

A Performance Analysis of Semantic Caching for XML Query Processing

An Effective Semantic Cache for Exploiting XPath Query/View Answerability

The Environmental Performance Evaluation of a Silicon Production Enterprise Based on Fuzzy Comprehensive Evaluation and Entropy Weight Method

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