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Ontological semantic inference based on cognitive map
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, Heejung | - |
| dc.contributor.author | Kwon, Soon Jae | - |
| dc.date.accessioned | 2022-07-16T04:52:06Z | - |
| dc.date.available | 2022-07-16T04:52:06Z | - |
| dc.date.issued | 2014-05 | - |
| dc.identifier.issn | 0957-4174 | - |
| dc.identifier.issn | 1873-6793 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/160017 | - |
| dc.description.abstract | Cognitive map is a well-known approach to model the dynamics of qualitative systems, and has been studied and used in various fields, such as psychology, education, engineering, and management. Although the validity and usefulness of cognitive maps has been proven in many fields, and a considerable number of cognitive maps have been built during the last decade, cognitive map construction and use was just one-off event. In addition, the high degree of cognitive complexities in large cognitive maps makes it difficult for others to understand and exploit the pre-defined cognitive map in another similar domain problem. In this paper, an ontological semantic inference method, which combines the cognitive map and semantic influence, is proposed. This approach reuses a pre-defined cognitive map and provides an ontological semantic inference mechanism in decision making environments by reducing the degree of cognitive complexities in a large cognitive map. | - |
| dc.format.extent | 8 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Elsevier | - |
| dc.title | Ontological semantic inference based on cognitive map | - |
| dc.type | Article | - |
| dc.publisher.location | 영국 | - |
| dc.identifier.doi | 10.1016/j.eswa.2013.10.029 | - |
| dc.identifier.scopusid | 2-s2.0-84890549428 | - |
| dc.identifier.wosid | 000331018000033 | - |
| dc.identifier.bibliographicCitation | Expert Systems with Applications, v.41, no.6, pp 2981 - 2988 | - |
| dc.citation.title | Expert Systems with Applications | - |
| dc.citation.volume | 41 | - |
| dc.citation.number | 6 | - |
| dc.citation.startPage | 2981 | - |
| dc.citation.endPage | 2988 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Operations Research & Management Science | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
| dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
| dc.subject.keywordPlus | GEOGRAPHIC INFORMATION-SYSTEMS | - |
| dc.subject.keywordPlus | KNOWLEDGE REPRESENTATION | - |
| dc.subject.keywordPlus | SIMPLE SENTENCES | - |
| dc.subject.keywordPlus | CAUSAL | - |
| dc.subject.keywordPlus | PRINCIPLES | - |
| dc.subject.keywordPlus | DYNAMICS | - |
| dc.subject.keywordPlus | SUPPORT | - |
| dc.subject.keywordPlus | DESIGN | - |
| dc.subject.keywordPlus | DRIVEN | - |
| dc.subject.keywordPlus | NETS | - |
| dc.subject.keywordAuthor | Cognitive map | - |
| dc.subject.keywordAuthor | Semantic influence | - |
| dc.subject.keywordAuthor | Ontology | - |
| dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0957417413008464?via%3Dihub | - |
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