Indexing XML Data - The State of the Art

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F07%3A00017790" target="_blank" >RIV/61989100:27240/07:00017790 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Indexing XML Data - The State of the Art

Original language description

XML (Extensible Mark-up Language) has recently been embraced as a new approach to data modeling. Nowadays, more and more information is formated as semi-structured data, e.g. articles in a digital library, documents on the web and so on. Implementation of an efficient system enabling storage and querying of XML documents requires development of new techniques. The indexing of an XML document is enabled by providing an efficient evaluation of a user query. XML query languages, such as XPath or XQuery, apply a form of path expressions for composing more general queries. In this article, we present the up-to-date state in the area of indexing XML data. A classification of approaches is depicted and some important approaches are described. We are interested in the efficiency of proposed approaches and their ability to manage large XML documents.

Czech name

Indexing XML Data - The State of the Art

Czech description

XML (Extensible Mark-up Language) has recently been embraced as a new approach to data modeling. Nowadays, more and more information is formated as semi-structured data, e.g. articles in a digital library, documents on the web and so on. Implementation of an efficient system enabling storage and querying of XML documents requires development of new techniques. The indexing of an XML document is enabled by providing an efficient evaluation of a user query. XML query languages, such as XPath or XQuery, apply a form of path expressions for composing more general queries. In this article, we present the up-to-date state in the area of indexing XML data. A classification of approaches is depicted and some important approaches are described. We are interested in the efficiency of proposed approaches and their ability to manage large XML documents.

Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

<a href="/en/project/GP201%2F06%2FP113" target="_blank" >GP201/06/P113: Methods for efficient searching in large collections of semi-structured data</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2007

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

ITAT 2007

ISBN

978-80-969184-7-8

ISSN

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e-ISSN

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Number of pages

11

Pages from-to

156-167

Publisher name

Univerzita P. J. Šafárika v Košiciach

Place of publication

Košice

Event location

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Event date

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Type of event by nationality

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UT code for WoS article

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