A novel semantic tagging technique exploiting wikipedia-based associated words
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hong, Hyunki | - |
dc.contributor.author | Park, Kyungwook | - |
dc.contributor.author | Lee, Dongho | - |
dc.date.accessioned | 2021-06-22T21:25:12Z | - |
dc.date.available | 2021-06-22T21:25:12Z | - |
dc.date.created | 2021-01-22 | - |
dc.date.issued | 2015-07 | - |
dc.identifier.issn | 0730-6512 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/20243 | - |
dc.description.abstract | With the rise in popularity of smart devices such as smartphones and tablet PCs, the volume of multimedia contents is growing exponentially through social networks and multimedia contents sharing systems. However, the characteristics of mobile devices and tags lead to the performance degradation of the tag-based image retrieval. In this paper, we propose a novel semantic tagging method exploiting Wikipedia-based associated words. The proposed system consists of two phases. In association words construction phase, extraction manager parses the page information from Wikipedia dump, and then semantic analyzer constructs the associated words using disambiguation page. In tag recommendation phase, a user selects single meaning among various associated words, so that associated words which belong to the chosen cluster are automatically assigned to the contents. The proposed system makes it possible to annotate the multimedia contents with the reliable and relevant tags in the smart device environment. © 2015 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | A novel semantic tagging technique exploiting wikipedia-based associated words | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Dongho | - |
dc.identifier.doi | 10.1109/COMPSAC.2015.87 | - |
dc.identifier.scopusid | 2-s2.0-84962129751 | - |
dc.identifier.wosid | 000381598900116 | - |
dc.identifier.bibliographicCitation | Proceedings - IEEE Computer Society's International Computer Software and Applications Conference, v.3, pp.648 - 649 | - |
dc.relation.isPartOf | Proceedings - IEEE Computer Society's International Computer Software and Applications Conference | - |
dc.citation.title | Proceedings - IEEE Computer Society's International Computer Software and Applications Conference | - |
dc.citation.volume | 3 | - |
dc.citation.startPage | 648 | - |
dc.citation.endPage | 649 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 3 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | other | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | Application programs | - |
dc.subject.keywordPlus | Computer software | - |
dc.subject.keywordPlus | Mobile devices | - |
dc.subject.keywordPlus | Personal computers | - |
dc.subject.keywordPlus | Associated Words | - |
dc.subject.keywordPlus | Construction phase | - |
dc.subject.keywordPlus | Multimedia contents | - |
dc.subject.keywordPlus | Multimedia Tagging | - |
dc.subject.keywordPlus | Performance degradation | - |
dc.subject.keywordPlus | Semantic tagging | - |
dc.subject.keywordPlus | Tag recommendations | - |
dc.subject.keywordPlus | Wikipedia | - |
dc.subject.keywordPlus | Semantics | - |
dc.subject.keywordAuthor | Associated Words | - |
dc.subject.keywordAuthor | Multimedia Tagging | - |
dc.subject.keywordAuthor | Semantic Tagging | - |
dc.subject.keywordAuthor | Wikipedia | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/7273448 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.