LNV: relational database storage structure for XML documents

El-Sharkawi, Mohamed E.; El-Tazi, Neamat

doi:10.1109/aiccsa.2005.1387046

Cited by 7 publications

(7 citation statements)

References 3 publications

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“…An indexing technique is employed by the LNV approach [9]. In this approach, each distinctive node in the XML document is provided with a signature and these signatures in the table are stored and named as 'label's Signatures.'…”

Section: Lnv Approachmentioning

confidence: 99%

“…Numerous mapping approaches for storage and querying XML documents have been introduced. These approaches include Edge [7], XRel [4], XParent [6], XPEV [8], LNV [9], Sainan–Caifeng [10], SMX/R [11], Xlight [12], XRecursive [13], Suri–Sharma [14], Ying–Cao [15], Wang et al [16] and s-XML [17]. These approaches have improved the storage space of RDBs and have reduced the number of join operations in the query, which lessens the query response time.…”

Section: The Types Of Mapping Approachesmentioning

confidence: 99%

“…The reviews are in terms of storage and querying XML data. The model mapping approaches consist of the 13 most cited and latest approaches: Edge [7], XRel [4], XParent [6], XPEV [8], LNV [9], Sainan–Caifeng [10], SMX/R [11], Xlight [12], XRecursive [13], Suri–Sharma [14], Ying–Cao [15], Wang et al [16] and s-XML [17]. The approaches essentially need to preserve the relationships among XML nodes such as parent–child, ancestor–descendant, levels and siblings during the mapping.…”

Section: Introductionmentioning

confidence: 99%

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Model mapping approaches for XML documents: A review

Qtaish

Ahmad

2015

Journal of Information Science

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XML has become the dominant standard for data exchange and representation on the Web. The Relational Database (RDB) possesses is widely used as a storage and retrieval medium in the business field. With the expanding utilization of XML data on the Web, the size of this data type has increased rapidly, and more complicated queries are issued by users through this data. This expansion has prompted numerous researchers to propose various approaches in managing XML data through RDB. In this study, the most cited and the latest model-mapping approaches are reviewed in terms of the description, the technique used and the RDB schema produced using each approach. The limitations of these approaches are discussed, in terms of the storage space and query response time. At the end of this study, a solution to these limitations is proposed. It is hoped that this paper will give some insight into storing XML documents in RDB schema and contribute to the XML community.

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Section: Lnv Approachmentioning

confidence: 99%

Section: The Types Of Mapping Approachesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Model mapping approaches for XML documents: A review

Qtaish

Ahmad

2015

Journal of Information Science

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“…The concept of Relational data bases provides more mature way to store and query these documents. Research on storage of XML documents using relational databases are classified by two kinds : Schema oblivious storage, Schema Based storage .Schema oblivious storage does not use any DTD (document type definition) or XML schema to map XML document in to relations [4] [10]. Schema based storage requires DTD attached with the XML documents itself .…”

Section: Introductionmentioning

confidence: 99%

Schema Based Storage of Xml Documents in Relational Databases

Sharma¹

2013

IJWSC

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XML (Extensible Mark up language) is emerging as a tool for representing and exchanging data over the internet. When we want to store and query XML data, we can use two approaches either by using native databases or XML enabled databases. In this paper we deal with XML enabled databases. We use relational databases to store XML documents. In this paper we focus on mapping of XML DTD into relations. Mapping needs three steps: 1) Simplify Complex DTD's 2) Make DTD graph by using simplified DTD's 3) Generate Relational schema. We present an inlining algorithm for generating relational schemas from available DTD's. This algorithm also handles recursion in an XML document.

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“…In this case, an XML tree is created and nodes of the tree are stored in data base. [1][2] [3].In this paper, we presents an algorithm which is used to reconstruct XML tree that is stored in database. This algorithm uses a Queue based approach to reconstruct an XML tree stored in relational database.…”

mentioning

confidence: 99%

A Queue based Reconstruction Algorithm for Reconstructing XML Tree from Relational Storage

Sharma¹

2016

IJCA

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Storage of XML documents in relational databases is a wide area of research for researches now days. Reconstruction of an XML tree from storage of relational databases is an important topic in this area. In this paper, we propose a Queue Based reconstruction algorithm to reconstruct an XML tree from relational storage of XML documents. This Algorithm uses queue Based approach to reconstruct an XML tree.

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LNV: relational database storage structure for XML documents

Cited by 7 publications

References 3 publications

Model mapping approaches for XML documents: A review

Model mapping approaches for XML documents: A review

Schema Based Storage of Xml Documents in Relational Databases

A Queue based Reconstruction Algorithm for Reconstructing XML Tree from Relational Storage

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