Structural decomposition of technological domain using patent co-classification and classification hierarchy
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mun, Changbae | - |
dc.contributor.author | Yoon, Sejun | - |
dc.contributor.author | Park, Hyunseok | - |
dc.date.accessioned | 2022-07-09T00:40:02Z | - |
dc.date.available | 2022-07-09T00:40:02Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2019-11 | - |
dc.identifier.issn | 0138-9130 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/146827 | - |
dc.description.abstract | This paper proposes a new method for decomposing a technological domain (TD). Specifically, the method identifies sub-TDs at the different levels of technological hierarchy within the TD based on the characteristics of patent co-classification and classification hierarchy. We defined the smallest class, named Minimum Overlapped Class (MOC), constructed by overlaps of sub-group IPC(s) and sub-class UPC(s), and sub-TD is basically identified as a set of the MOCs. In order to cluster the MOCs, technological distances among MOCs are calculated based on patent co-classification and hierarchical structure of patent classification systems. Technologically similar MOCs are grouped by using a hierarchical clustering and the identified clusters at the different level of hierarchy show the hierarchical structure of a TD. Detailed technological content for each sub-TD is represented by extracting representative keywords through a text-mining technique. The method is empirically tested by the solar photovoltaic technology and the results show that the identified sub-TDs are reasonably acceptable by qualitative analysis. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER | - |
dc.title | Structural decomposition of technological domain using patent co-classification and classification hierarchy | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, Hyunseok | - |
dc.identifier.doi | 10.1007/s11192-019-03223-8 | - |
dc.identifier.scopusid | 2-s2.0-85073624659 | - |
dc.identifier.wosid | 000491201000003 | - |
dc.identifier.bibliographicCitation | SCIENTOMETRICS, v.121, no.2, pp.633 - 652 | - |
dc.relation.isPartOf | SCIENTOMETRICS | - |
dc.citation.title | SCIENTOMETRICS | - |
dc.citation.volume | 121 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 633 | - |
dc.citation.endPage | 652 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Information Science & Library Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Information Science & Library Science | - |
dc.subject.keywordPlus | NOVELTY | - |
dc.subject.keywordPlus | SEARCH | - |
dc.subject.keywordPlus | TRAJECTORIES | - |
dc.subject.keywordPlus | METHODOLOGY | - |
dc.subject.keywordPlus | KEYWORD | - |
dc.subject.keywordPlus | TRENDS | - |
dc.subject.keywordAuthor | Classification overlap method (COM) | - |
dc.subject.keywordAuthor | Patent co-classification | - |
dc.subject.keywordAuthor | Classification hierarchy | - |
dc.subject.keywordAuthor | Sub-technologies | - |
dc.subject.keywordAuthor | Sub-domain | - |
dc.subject.keywordAuthor | Hierarchical class similarity | - |
dc.identifier.url | https://link.springer.com/article/10.1007/s11192-019-03223-8 | - |
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