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Ranking of keyword-combined searches in relational databases based on relevance to the user query
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Loh, W. -K. | - |
| dc.contributor.author | Kwon, H. -Y. | - |
| dc.date.available | 2020-06-10T05:35:34Z | - |
| dc.date.created | 2020-06-10 | - |
| dc.date.issued | 2020-05 | - |
| dc.identifier.issn | 0013-5194 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/51596 | - |
| dc.description.abstract | In this Letter, the authors deal with ranking of keyword-combined searches in relational databases based on relevance to the user query, which they call KEYSIM searches. They formally define KEYSIM searches and propose a threshold-based method for efficiently processing KEYSIM searches. Their proposed method is the first one to find top-k results considering both numerical similarity and textual similarity. Through the experiments using five real and synthetic data sets, they show the efficiency and scalability of the proposed method. | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | INST ENGINEERING TECHNOLOGY-IET | - |
| dc.relation.isPartOf | ELECTRONICS LETTERS | - |
| dc.title | Ranking of keyword-combined searches in relational databases based on relevance to the user query | - |
| dc.type | Article | - |
| dc.type.rims | ART | - |
| dc.description.journalClass | 1 | - |
| dc.identifier.wosid | 000535921100011 | - |
| dc.identifier.doi | 10.1049/el.2019.4266 | - |
| dc.identifier.bibliographicCitation | ELECTRONICS LETTERS, v.56, no.10, pp.495 - 497 | - |
| dc.description.isOpenAccess | N | - |
| dc.identifier.scopusid | 2-s2.0-85084983809 | - |
| dc.citation.endPage | 497 | - |
| dc.citation.startPage | 495 | - |
| dc.citation.title | ELECTRONICS LETTERS | - |
| dc.citation.volume | 56 | - |
| dc.citation.number | 10 | - |
| dc.contributor.affiliatedAuthor | Loh, W. -K. | - |
| dc.type.docType | Article | - |
| dc.subject.keywordAuthor | relational databases | - |
| dc.subject.keywordAuthor | query processing | - |
| dc.subject.keywordAuthor | relevance feedback | - |
| dc.subject.keywordAuthor | text analysis | - |
| dc.subject.keywordAuthor | keyword-combined searches | - |
| dc.subject.keywordAuthor | relational databases | - |
| dc.subject.keywordAuthor | KEYSIM searches | - |
| dc.subject.keywordAuthor | threshold-based method | - |
| dc.subject.keywordAuthor | user query relevance | - |
| dc.subject.keywordAuthor | top-k results | - |
| dc.subject.keywordAuthor | numerical similarity | - |
| dc.subject.keywordAuthor | textual similarity | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
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Related Researcher
- Loh, Woong Kee
- College of IT Convergence (Department of Software)