Change Detection and Notification Method of the Rich Internet Application Content
Emil Gatial, Zoltán Balogh, Ladislav Hluchý · 2018
The paper presents the techniques for supervised information extraction and change notification of the Web resources. The method uses the combination of supervised wrapping or Web scraping techniques integrated to a browser as an extension. A prototype was developed to provide the proof of concept validation and moreover to identify the pros and cons of proposed solution. The paper focuses on the core methods being used for structured data extraction from Web resources and on notification of the users in the most appropriate manner. The approach has a potential to share marked Web elements among users taking advantages of the collaborative annotation. The paper concludes with the research challenges stumbled on during the process on method design.