Academic Journal

UICO: an ontology-based user interaction context model for automatic task detection on the computer desktop

التفاصيل البيبلوغرافية
العنوان: UICO: an ontology-based user interaction context model for automatic task detection on the computer desktop
المؤلفون: Andreas S. Rath, Didier Devaurs, Stefanie N. Lindstaedt
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://hal.inria.fr/docs/00/87/21/18/PDF/rath-09-ciao.pdf.
سنة النشر: 2009
المجموعة: CiteSeerX
مصطلحات موضوعية: H.3.1 [Information Storage and Retrieval, Content Analysis and Indexing- Abstracting methods, Indexing methods, I.5.2 [Pattern Recognition, Design Methodology- Classifier design and evaluation, Feature evaluation and selection General Terms Algorithms, Performance, Experimentation Keywords automatic task detection, user context mode
الوصف: In this paper we propose an ontology-based user context model for increasing the performance of automatic task detection. Using an ontology-based user context model brings several advantages, such as an easy integration of new contextual attention metadata [11], a simple mapping of the raw sensor data into a unified model, and an easy extendability of the user context model with concepts and properties about new resources and user actions. Most imporhal-00872118
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.406.2294; http://hal.inria.fr/docs/00/87/21/18/PDF/rath-09-ciao.pdf
الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.406.2294
http://hal.inria.fr/docs/00/87/21/18/PDF/rath-09-ciao.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.827566B4
قاعدة البيانات: BASE