On computing similarity in academic literature data: Methods and evaluation
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hamedani, Masoud Reyhani | - |
dc.contributor.author | Kim, Sang-Wook | - |
dc.date.accessioned | 2022-07-16T02:37:42Z | - |
dc.date.available | 2022-07-16T02:37:42Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2014-10 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/158936 | - |
dc.description.abstract | Similarity computation for academic literature data is one of the interesting topics that have been discussed recently in information retrieval and data mining. Consequently, a variety of methods has been proposed to compute the similarity of scientific papers. In this paper, we present various similarity methods and evaluate their effectiveness via extensive experiments on a real-world dataset of scientific papers. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Springer Verlag | - |
dc.title | On computing similarity in academic literature data: Methods and evaluation | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Sang-Wook | - |
dc.identifier.doi | 10.1007/978-3-319-11538-2_37 | - |
dc.identifier.scopusid | 2-s2.0-84910068038 | - |
dc.identifier.bibliographicCitation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.8597, pp.403 - 412 | - |
dc.relation.isPartOf | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.citation.title | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.citation.volume | 8597 | - |
dc.citation.startPage | 403 | - |
dc.citation.endPage | 412 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Academic literature | - |
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