Matches in SemOpenAlex for { <https://semopenalex.org/work/W1518433974> ?p ?o ?g. }
Showing items 1 to 52 of
52
with 100 items per page.
- W1518433974 endingPage "1330" @default.
- W1518433974 startingPage "1322" @default.
- W1518433974 abstract "To cope with the challenges existing in pervasive environments, based on the characteristics of pervasive environments, a semantic distance-based trust model is proposed in this paper. The semantic distance between entities and between trust categories is borrowed to calculate trustworthiness more precisely. In the model, the behavior trust and capability trust are distinguished and evaluated separately; on the basis of the trust evaluations, all entities in pervasive environments make independent decisions that can maximize their own profit with the trust model. The simulation experiment results proved the effectiveness of the model in improving the interaction success ratio and efficiency between entities under pervasive environments. Copyright © 2013 John Wiley & Sons, Ltd." @default.
- W1518433974 created "2016-06-24" @default.
- W1518433974 creator A5010241534 @default.
- W1518433974 creator A5078477158 @default.
- W1518433974 creator A5086816845 @default.
- W1518433974 date "2013-05-09" @default.
- W1518433974 modified "2023-09-26" @default.
- W1518433974 title "A trust model based on semantic distance for pervasive environments" @default.
- W1518433974 cites W1985109665 @default.
- W1518433974 cites W2026155725 @default.
- W1518433974 cites W2120726752 @default.
- W1518433974 cites W2137079713 @default.
- W1518433974 cites W2143659144 @default.
- W1518433974 doi "https://doi.org/10.1002/sec.789" @default.
- W1518433974 hasPublicationYear "2013" @default.
- W1518433974 type Work @default.
- W1518433974 sameAs 1518433974 @default.
- W1518433974 citedByCount "0" @default.
- W1518433974 crossrefType "journal-article" @default.
- W1518433974 hasAuthorship W1518433974A5010241534 @default.
- W1518433974 hasAuthorship W1518433974A5078477158 @default.
- W1518433974 hasAuthorship W1518433974A5086816845 @default.
- W1518433974 hasConcept C107457646 @default.
- W1518433974 hasConcept C136764020 @default.
- W1518433974 hasConcept C172195944 @default.
- W1518433974 hasConcept C41008148 @default.
- W1518433974 hasConceptScore W1518433974C107457646 @default.
- W1518433974 hasConceptScore W1518433974C136764020 @default.
- W1518433974 hasConceptScore W1518433974C172195944 @default.
- W1518433974 hasConceptScore W1518433974C41008148 @default.
- W1518433974 hasFunder F4320321001 @default.
- W1518433974 hasIssue "9" @default.
- W1518433974 hasLocation W15184339741 @default.
- W1518433974 hasOpenAccess W1518433974 @default.
- W1518433974 hasPrimaryLocation W15184339741 @default.
- W1518433974 hasRelatedWork W1602935914 @default.
- W1518433974 hasRelatedWork W1993084869 @default.
- W1518433974 hasRelatedWork W2347466614 @default.
- W1518433974 hasRelatedWork W2361445870 @default.
- W1518433974 hasRelatedWork W2364878349 @default.
- W1518433974 hasRelatedWork W2373379668 @default.
- W1518433974 hasRelatedWork W2380613331 @default.
- W1518433974 hasRelatedWork W2386200114 @default.
- W1518433974 hasRelatedWork W2748952813 @default.
- W1518433974 hasRelatedWork W3012707328 @default.
- W1518433974 hasVolume "7" @default.
- W1518433974 isParatext "false" @default.
- W1518433974 isRetracted "false" @default.
- W1518433974 magId "1518433974" @default.
- W1518433974 workType "article" @default.