Our Current R&D project
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Opinion Mining for Issue Discovery (OMID)
This project is concerned with the dynamic discovery of emerging social-political issues using large relevant data containing granular textual information.
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OMID is complete framework for understanding and evaluating the thoughts of people who express opinions about certain issues and topics in public blogs and tweets, and to mine relations and associations between events and people's opinions. OMID is capable of discovering new topics and emerging issues. The theoretical and business problems and opportunities addressable by the class of solutions provided by our research are vast. A major strategic impact of this work will be to provide opportunities for even closer collaboration between researchers in academia, all levels of government, and political parties,
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Adaptive Websites (aWeb)
Web sites are fast becoming the central interaction point in our society. Our aim is to develop an intelligent self-improving web site that can learn from user access patterns and automatically adapt itself to user's interests.
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We will investigate different ways of exploiting user access patterns to a web site to synthesize and cluster groups of pages commonly accessed together. The most optimized method found will be used in the implementation of the proposed adaptive web site (aWeb).
The proposed adaptive web site is a smart and intelligent site that uses raw usage logs recorded over time, mines and analyzes its contents to find usage patterns, learns user access patterns and adapts itself accordingly. aWeb collects and maintains user log data for every individual user. Data mining techniques will be used to discover the underlying usage patterns, capture relevant user navigational patterns and generate clusters of users. Each cluster represents a group of users with similar web usage behavior and strong cohesive relationship. The accumulated user access patterns, the characteristics of different clusters and suggested changes are used to carry out web improvement and adaptation. The web customization process can be carried out either by human webmaster or via self-improvement schemes.
aWeb uses agent technology to assist the user with navigating the web site (i.e., it provides customized service to an individual user). It can also act as usage-based recommender system. The other main functionality of aWeb is its ability to provide custom real-time web personalization.
This project core technology which will benefit the entire IT infrastructure and in particular R&D workers in industry, government and academia. It improves and enhances the web usage. e-Commerce is one area that will heavily benefit from the outcome of this research work.
aWeb is one of the first attempts to implement quality web; a web that is autonomous with learning and reasoning capabilities. It is also one of the first attempt to build a 'goal-oriented' web sites. The goal prediction and recognition is one of the biggest challenges of this project. aWeb will have build-in capability to measure and optimize the quality of a web site.
The proposed adaptive web site is a smart and intelligent site that uses raw usage logs recorded over time, mines and analyzes its contents to find usage patterns, learns user access patterns and adapts itself accordingly. aWeb collects and maintains user log data for every individual user. Data mining techniques will be used to discover the underlying usage patterns, capture relevant user navigational patterns and generate clusters of users. Each cluster represents a group of users with similar web usage behavior and strong cohesive relationship. The accumulated user access patterns, the characteristics of different clusters and suggested changes are used to carry out web improvement and adaptation. The web customization process can be carried out either by human webmaster or via self-improvement schemes.
aWeb uses agent technology to assist the user with navigating the web site (i.e., it provides customized service to an individual user). It can also act as usage-based recommender system. The other main functionality of aWeb is its ability to provide custom real-time web personalization.
This project core technology which will benefit the entire IT infrastructure and in particular R&D workers in industry, government and academia. It improves and enhances the web usage. e-Commerce is one area that will heavily benefit from the outcome of this research work.
aWeb is one of the first attempts to implement quality web; a web that is autonomous with learning and reasoning capabilities. It is also one of the first attempt to build a 'goal-oriented' web sites. The goal prediction and recognition is one of the biggest challenges of this project. aWeb will have build-in capability to measure and optimize the quality of a web site.
