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An Exponentiation Method for XML Element Retrieval
XML document is now widely used for modelling and storing structured documents. The structure is very rich and carries important information about contents and their relationships, for example, e-Commerce. XML data-centric collections require query terms allowing users to specify constraints on the...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi Publishing Corporation
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3947718/ https://www.ncbi.nlm.nih.gov/pubmed/24696643 http://dx.doi.org/10.1155/2014/404518 |
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author | Wichaiwong, Tanakorn |
author_facet | Wichaiwong, Tanakorn |
author_sort | Wichaiwong, Tanakorn |
collection | PubMed |
description | XML document is now widely used for modelling and storing structured documents. The structure is very rich and carries important information about contents and their relationships, for example, e-Commerce. XML data-centric collections require query terms allowing users to specify constraints on the document structure; mapping structure queries and assigning the weight are significant for the set of possibly relevant documents with respect to structural conditions. In this paper, we present an extension to the MEXIR search system that supports the combination of structural and content queries in the form of content-and-structure queries, which we call the Exponentiation function. It has been shown the structural information improve the effectiveness of the search system up to 52.60% over the baseline BM25 at MAP. |
format | Online Article Text |
id | pubmed-3947718 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-39477182014-04-02 An Exponentiation Method for XML Element Retrieval Wichaiwong, Tanakorn ScientificWorldJournal Research Article XML document is now widely used for modelling and storing structured documents. The structure is very rich and carries important information about contents and their relationships, for example, e-Commerce. XML data-centric collections require query terms allowing users to specify constraints on the document structure; mapping structure queries and assigning the weight are significant for the set of possibly relevant documents with respect to structural conditions. In this paper, we present an extension to the MEXIR search system that supports the combination of structural and content queries in the form of content-and-structure queries, which we call the Exponentiation function. It has been shown the structural information improve the effectiveness of the search system up to 52.60% over the baseline BM25 at MAP. Hindawi Publishing Corporation 2014-02-13 /pmc/articles/PMC3947718/ /pubmed/24696643 http://dx.doi.org/10.1155/2014/404518 Text en Copyright © 2014 Tanakorn Wichaiwong. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wichaiwong, Tanakorn An Exponentiation Method for XML Element Retrieval |
title | An Exponentiation Method for XML Element Retrieval |
title_full | An Exponentiation Method for XML Element Retrieval |
title_fullStr | An Exponentiation Method for XML Element Retrieval |
title_full_unstemmed | An Exponentiation Method for XML Element Retrieval |
title_short | An Exponentiation Method for XML Element Retrieval |
title_sort | exponentiation method for xml element retrieval |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3947718/ https://www.ncbi.nlm.nih.gov/pubmed/24696643 http://dx.doi.org/10.1155/2014/404518 |
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