The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
A pesquisa semântica pode ser dividida em três etapas. A correspondência de palavras-chave, a primeira etapa, impacta significativamente os resultados da pesquisa, uma vez que as etapas seguintes são baseadas nela. Neste artigo, propomos uma metodologia de correspondência de palavras-chave que agrega pontuações de relevância do texto relacionado para definir a pontuação de um objeto. A validade da abordagem é demonstrada por experimentos realizados com três conjuntos de dados públicos e pela análise detalhada dos resultados.
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Hangkyu KIM, Chang-Sup PARK, Yoon Joon LEE, "Improving Keyword Match for Semantic Search" in IEICE TRANSACTIONS on Information,
vol. E94-D, no. 2, pp. 375-378, February 2011, doi: 10.1587/transinf.E94.D.375.
Abstract: Semantic search can be divided into three steps. Keyword matching, the first step, significantly impacts the search results, since the following steps are based on it. In this paper, we propose a keyword matching methodology that aggregates relevance scores of the related text to define the score of an object. Validity of the approach is shown by experiments performed with three public data sets and the detailed analysis of the results.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E94.D.375/_p
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@ARTICLE{e94-d_2_375,
author={Hangkyu KIM, Chang-Sup PARK, Yoon Joon LEE, },
journal={IEICE TRANSACTIONS on Information},
title={Improving Keyword Match for Semantic Search},
year={2011},
volume={E94-D},
number={2},
pages={375-378},
abstract={Semantic search can be divided into three steps. Keyword matching, the first step, significantly impacts the search results, since the following steps are based on it. In this paper, we propose a keyword matching methodology that aggregates relevance scores of the related text to define the score of an object. Validity of the approach is shown by experiments performed with three public data sets and the detailed analysis of the results.},
keywords={},
doi={10.1587/transinf.E94.D.375},
ISSN={1745-1361},
month={February},}
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TY - JOUR
TI - Improving Keyword Match for Semantic Search
T2 - IEICE TRANSACTIONS on Information
SP - 375
EP - 378
AU - Hangkyu KIM
AU - Chang-Sup PARK
AU - Yoon Joon LEE
PY - 2011
DO - 10.1587/transinf.E94.D.375
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2011
AB - Semantic search can be divided into three steps. Keyword matching, the first step, significantly impacts the search results, since the following steps are based on it. In this paper, we propose a keyword matching methodology that aggregates relevance scores of the related text to define the score of an object. Validity of the approach is shown by experiments performed with three public data sets and the detailed analysis of the results.
ER -