کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
386650 660889 2009 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Recommendation system using location-based ontology on wireless internet: An example of collective intelligence by using ‘mashup’ applications
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Recommendation system using location-based ontology on wireless internet: An example of collective intelligence by using ‘mashup’ applications
چکیده انگلیسی

Location-Based Service (LBS) is considered as a key component of upcoming ubiquitous environments. A recommendation system based on LBS is expected to be an important service in ubiquitous environments, and most hardware technologies such as location estimation of a user by using Global Positioning System (GPS), as well as hi-speed internet access through cell phones, are currently supported. However, in terms of software, most services are driven and supported by a LBS service provider only. Consequently, lack of participation of users may occur in mobile environments. In this study, we suggest a LBS knowledge base inference platform with ontology which considers the current location and available time of users. Our knowledge base supports user participation as collective intelligence. We mashed up Open Application Programming Interface (OpenAPI) for scalable implementation of the system. Through experiments, we show that a user can build up his/her knowledge base, and by using this information, the system recommends to other users appropriate information that matches the user’s condition and profile through inference.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 36, Issue 9, November 2009, Pages 11675–11681
نویسندگان
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