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http://hdl.handle.net/10773/13363
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lima, Christopher V. | pt |
dc.contributor.author | Antunes, Mário | pt |
dc.contributor.author | Gomes, Diogo | pt |
dc.contributor.author | Aguiar, Rui Luís | pt |
dc.date.accessioned | 2015-02-05T16:33:07Z | - |
dc.date.available | 2015-02-05T16:33:07Z | - |
dc.date.issued | 2013 | - |
dc.identifier.isbn | 978-1-61499-285-1 | - |
dc.identifier.uri | http://hdl.handle.net/10773/13363 | - |
dc.description.abstract | Future pervasive environments will take into consideration physical and digital social relations. Nowadays it is important use to collective intelligence, where the interpretation of context information can be harnessed as input for context-aware applications, especially for group collaboration. The use of collective intelligence represents new possibilities but also new challenges in terms of collective information for adaptability and personalization in intelligent environments. This paper presents a collaborative context-aware framework focusing on social matching capabilities for session formation in collaborative activities. | pt |
dc.language.iso | eng | pt |
dc.publisher | IOS Press | pt |
dc.relation | FCT - SFRH/BD/69381/2010 | pt |
dc.rights | openAccess | por |
dc.subject | Pervasive computing | pt |
dc.subject | Social matching | pt |
dc.subject | Collaboration | pt |
dc.title | Social awareness in pervasive communities for collaborative work | pt |
dc.type | conferenceObject | pt |
dc.peerreviewed | yes | pt |
ua.publicationstatus | published | pt |
ua.event.date | 16-19 julho, 2013 | pt |
ua.event.type | conference | pt |
degois.publication.firstPage | 110 | pt |
degois.publication.lastPage | 115 | pt |
degois.publication.title | Workshop Proceedings of the 9th International Conference on Intelligent Environments | pt |
degois.publication.volume | 17 | pt |
dc.identifier.doi | 10.3233/978-1-61499-286-8-110 | pt |
Appears in Collections: | DETI - Comunicações |
Files in This Item:
File | Description | Size | Format | |
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AISE17-0110.pdf | 643.88 kB | Adobe PDF | View/Open |
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