Moving view field nearest neighbor queries
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Wooil | - |
dc.contributor.author | Shim, Changbeom | - |
dc.contributor.author | Heo, Wan | - |
dc.contributor.author | Yi, Sungmin | - |
dc.contributor.author | Chung, Yon Dohn | - |
dc.date.accessioned | 2021-09-01T22:36:59Z | - |
dc.date.available | 2021-09-01T22:36:59Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2019-01 | - |
dc.identifier.issn | 0169-023X | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/68847 | - |
dc.description.abstract | In this paper, we introduce a novel query type, the moving view field nearest neighbor (MVFNN) query -a continuous version of the view field nearest neighbor (VFNN) query. This query continuously retrieves the nearest object in the query's view field taking into account the changes of the query location and view field. In order to improve the performance of the query processing, we propose the notion of geographical and angular safe boundaries. We can skip redundant computation if the moved query satisfies the geographical and angular safe boundaries. Our method is easily applicable to existing services since we do not transform the general index structures. We prove the efficiency of our method by a series of experiments varying the parameters such as query's moving speed, view field angle, and the distribution of data objects. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.title | Moving view field nearest neighbor queries | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chung, Yon Dohn | - |
dc.identifier.doi | 10.1016/j.datak.2018.12.002 | - |
dc.identifier.scopusid | 2-s2.0-85058820286 | - |
dc.identifier.wosid | 000461727400004 | - |
dc.identifier.bibliographicCitation | DATA & KNOWLEDGE ENGINEERING, v.119, pp.58 - 70 | - |
dc.relation.isPartOf | DATA & KNOWLEDGE ENGINEERING | - |
dc.citation.title | DATA & KNOWLEDGE ENGINEERING | - |
dc.citation.volume | 119 | - |
dc.citation.startPage | 58 | - |
dc.citation.endPage | 70 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.subject.keywordAuthor | Moving view field nearest neighbor query | - |
dc.subject.keywordAuthor | Spatial databases | - |
dc.subject.keywordAuthor | Continuous query | - |
dc.subject.keywordAuthor | Augmented reality | - |
dc.subject.keywordAuthor | Location-based service | - |
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