Web service to deliver filtered RSS items to a mobile application

Sajjanhar, Atul and Zhao, Ying 2012, Web service to deliver filtered RSS items to a mobile application, in ChinaGrid 2012 : Proceedings of the 7th ChinaGrid Annual Conference 2012, IEEE, Piscataway, N.J., pp. 128-133.

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Title Web service to deliver filtered RSS items to a mobile application
Author(s) Sajjanhar, Atul
Zhao, Ying
Conference name ChinaGrid. Conference (7th : 2012 : Beijing, China)
Conference location Beijing, China
Conference dates 20-23 Sep. 2012
Title of proceedings ChinaGrid 2012 : Proceedings of the 7th ChinaGrid Annual Conference 2012
Editor(s) [Unknown]
Publication date 2012
Conference series ChinaGrid Conference
Start page 128
End page 133
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) text classification
web service
SVM
geoparsing
Summary In the past decade there has been massive growth of data on the internet. Many people rely on XML based RSS feeds to receive updates from websites. In this paper, we propose a method for managing the RSS feeds from various news websites. A web service is developed to deliver filtered news items from RSS feeds to a mobile client. Each news item is indexed, subsequently, the indexes are used for filtering news items. Indexing is done in two steps. First, classical text categorization algorithms are used to assign a category to each news item, second, geoparsing is used to assign geolocation data to each news item. An android application is developed to access filtered news items by consuming the proposed web service. A prototype is implemented using Rapid miner 5.0 as the data mining tool and SVM as the classification algorithm. Geoparsing and geocoding web services, and Android API are used to implement location-based access to news items. Experimental results prove that the proposed approach is effective and saves a significant amount of information overload processing time.
ISBN 9780769548166
Language eng
Field of Research 080502 Mobile Technologies
Socio Economic Objective 890301 Electronic Information Storage and Retrieval Services
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30051372

Document type: Conference Paper
Collection: School of Information Technology
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