WB-T: A WORDNET-BASED TRANSLATION ALGORITHM FOR RDB-TO-XML CONVERSION
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Jangwon | - |
dc.contributor.author | Jeong, Dongwon | - |
dc.contributor.author | Kim, Jinhyung | - |
dc.contributor.author | Baik, Doo-Kwon | - |
dc.date.accessioned | 2021-09-08T20:11:28Z | - |
dc.date.available | 2021-09-08T20:11:28Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2009-02 | - |
dc.identifier.issn | 0218-0014 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/120654 | - |
dc.description.abstract | XML has grown to represent and exchange information which is used widely in various computing areas such as web environment, mobile environment, data management systems. Especially, the most important issue for practical purposes is how to achieve the interoperability between XML model and relational database model. Until now, various algorithms have been proposed to achieve it. However, existing algorithms do not consider implicit referential integrity relation. VP-T and QP-T have been proposed to resolve the problem - QP-T enhanced VP-T based on query pattern. However, both have a critical restriction that column titles for an attribute are identically represented. Therefore, several referential integrity relations might not be extracted. In this paper, we introduce a novel translation algorithm whose name is WordNet-based Translation algorithm (WB-T) to resolve the above issues. WB-T can check similarity between column titles based on WordNet and extract more exact implicit referential integrity relation than the previous algorithms. WB-T provides improved extraction accuracy and reduces the extraction time. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | WORLD SCIENTIFIC PUBL CO PTE LTD | - |
dc.subject | ENTITY-RELATIONSHIP SCHEMA | - |
dc.subject | RELATIONAL DATABASE | - |
dc.title | WB-T: A WORDNET-BASED TRANSLATION ALGORITHM FOR RDB-TO-XML CONVERSION | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Baik, Doo-Kwon | - |
dc.identifier.doi | 10.1142/S0218001409007053 | - |
dc.identifier.scopusid | 2-s2.0-65249130596 | - |
dc.identifier.wosid | 000264491300012 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, v.23, no.1, pp.145 - 158 | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE | - |
dc.citation.title | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE | - |
dc.citation.volume | 23 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 145 | - |
dc.citation.endPage | 158 | - |
dc.type.rims | ART | - |
dc.type.docType | Article; Proceedings Paper | - |
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.subject.keywordPlus | ENTITY-RELATIONSHIP SCHEMA | - |
dc.subject.keywordPlus | RELATIONAL DATABASE | - |
dc.subject.keywordAuthor | Relational database schema | - |
dc.subject.keywordAuthor | XML schema | - |
dc.subject.keywordAuthor | referential integrity | - |
dc.subject.keywordAuthor | implicit referential integrity | - |
dc.subject.keywordAuthor | WordNet | - |
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