Web service to deliver filtered RSS items to a mobile application


Autoria(s): Sajjanhar, Atul; Zhao, Ying
Contribuinte(s)

[Unknown]

Data(s)

01/01/2012

Resumo

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.

Identificador

http://hdl.handle.net/10536/DRO/DU:30051372

Idioma(s)

eng

Publicador

IEEE

Relação

http://dro.deakin.edu.au/eserv/DU:30051372/evid-chinagridconfandpeerrvwgnrl-2012.pdf

http://dro.deakin.edu.au/eserv/DU:30051372/sajjanhar-webservicetodeliver-2012.pdf

http://dx.doi.org/10.1109/ChinaGrid.2012.8

Palavras-Chave #text classification #web service #SVM #geoparsing
Tipo

Conference Paper