Context−aware views for mobile users
Independent, heterogeneous, distributed, sometimes transient and mobile data sources produce an enormous amount of information that should be semantically integrated and filtered, or, as we say, tailored, based on the users’ interests and context. We propose to exploit knowledge about the user, the a...
| Main Authors: | , , , , , , |
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| Format: | Conference item |
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2007
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| _version_ | 1797084871642841088 |
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| author | Bolchini, C Curino, C Orsi, G Quintarelli, E Rossato, R Schreiber, F Tanca, L |
| author_facet | Bolchini, C Curino, C Orsi, G Quintarelli, E Rossato, R Schreiber, F Tanca, L |
| author_sort | Bolchini, C |
| collection | OXFORD |
| description | Independent, heterogeneous, distributed, sometimes transient and mobile data sources produce an enormous amount of information that should be semantically integrated and filtered, or, as we say, tailored, based on the users’ interests and context. We propose to exploit knowledge about the user, the adopted device, and the environment - altogether called context - to the end of information tailoring. This paper presents the Context Dimension Tree, a context model which is the basis for solving the information tailoring problem, along with its role in the framework of the Context-ADDICT architecture. |
| first_indexed | 2024-03-07T02:01:12Z |
| format | Conference item |
| id | oxford-uuid:9d6b88c3-8d75-4931-83bf-331aa13f3037 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T02:01:12Z |
| publishDate | 2007 |
| record_format | dspace |
| spelling | oxford-uuid:9d6b88c3-8d75-4931-83bf-331aa13f30372022-03-27T00:43:00ZContext−aware views for mobile usersConference itemhttp://purl.org/coar/resource_type/c_5794uuid:9d6b88c3-8d75-4931-83bf-331aa13f3037Department of Computer Science2007Bolchini, CCurino, COrsi, GQuintarelli, ERossato, RSchreiber, FTanca, LIndependent, heterogeneous, distributed, sometimes transient and mobile data sources produce an enormous amount of information that should be semantically integrated and filtered, or, as we say, tailored, based on the users’ interests and context. We propose to exploit knowledge about the user, the adopted device, and the environment - altogether called context - to the end of information tailoring. This paper presents the Context Dimension Tree, a context model which is the basis for solving the information tailoring problem, along with its role in the framework of the Context-ADDICT architecture. |
| spellingShingle | Bolchini, C Curino, C Orsi, G Quintarelli, E Rossato, R Schreiber, F Tanca, L Context−aware views for mobile users |
| title | Context−aware views for mobile users |
| title_full | Context−aware views for mobile users |
| title_fullStr | Context−aware views for mobile users |
| title_full_unstemmed | Context−aware views for mobile users |
| title_short | Context−aware views for mobile users |
| title_sort | context aware views for mobile users |
| work_keys_str_mv | AT bolchinic contextawareviewsformobileusers AT curinoc contextawareviewsformobileusers AT orsig contextawareviewsformobileusers AT quintarellie contextawareviewsformobileusers AT rossator contextawareviewsformobileusers AT schreiberf contextawareviewsformobileusers AT tancal contextawareviewsformobileusers |