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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
의미 검색은 세 단계로 나눌 수 있습니다. 첫 번째 단계인 키워드 매칭은 이를 기반으로 다음 단계가 진행되기 때문에 검색 결과에 큰 영향을 미칩니다. 본 논문에서는 관련 텍스트의 관련성 점수를 집계하여 객체의 점수를 정의하는 키워드 매칭 방법론을 제안한다. 접근 방식의 타당성은 세 가지 공개 데이터 세트를 사용하여 수행된 실험과 결과에 대한 자세한 분석을 통해 나타납니다.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
부
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
부
@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},}
부
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 -