Information extraction based on personalization and contextualization models for multimodal data (Contributo in atti di convegno)

Type
Label
  • Information extraction based on personalization and contextualization models for multimodal data (Contributo in atti di convegno) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/DEXA.2007.95 (literal)
Alternative label
  • Caschera Maria Chiara; D'Ulizia Arianna (2007)
    Information extraction based on personalization and contextualization models for multimodal data
    in 18th International Workshop on database and expert systems applications (DEXA 2007), Regensburg (DE), SEP 03-07, 2007
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Caschera Maria Chiara; D'Ulizia Arianna (literal)
Pagina inizio
  • 114 (literal)
Pagina fine
  • 118 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • DEXA 2007: 18TH INTERNATIONAL CONFERENCE ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Data evento: 3-7 September 2007 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Caschera Maria Chiara, D'Ulizia Arianna: IRPPS - CNR (literal)
Titolo
  • Information extraction based on personalization and contextualization models for multimodal data (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-0-7695-2932-5 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autoriVolume
  • Tjoa, AM; Wagner, RR (literal)
Abstract
  • Multimedia data concern visual, audio, textual, information involving voice, gestures and others, so there are several challenges related to their storage and retrieval. Context awareness and personalization are key aspects to consider to manage any information-related content. In this paper we propose a general profiling model to define the user and context profiles in order to preserve and use their interrelationships. This general profiling model can be used tofilter the user query in a more precise and selective way and to filter the multimedia contents in the repository that match the user query. In this paper the personalization relies on the combined use of the user profiles and context profiles, and the combination driving in particular the choice of the interaction mode in order to make relevant information available to people in the appropriate form. (literal)
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