DCU Strategic ICT Research
Information Systems
This category covers a large part of the research activity of the School of Computing at DCU.
Information Systems includes - Database Engineering and Interoperable Systems, and Educational Technologies. The University also has world leading expertise in security including cryptology.
Information Systems Overview Presentation
| E-Learning Courseware Authoring Tool | ||||
Flexible E-Learning software tool that enables quick and easy creation of new E-Learning courses, through discovery and use of existing course structures and content. The tool automatically identifies and takes existing structures (ontologies) for simliar courses from the web or corporate networks, then finds and re-uses existing content from existing repositories, and maps this against the course structure. Tool allows course creators to modify and export results to existing User Interface. A simple overview of the E-Learining Courseware Authoring Tool with voiceover to explain the key features and functionality. http://mikael.computing.dcu.ie/mikael5_withvoiceover.mov |
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E-Learning Tool Overview | |
E-Learning Tool Customer Presentation | |
| FASTX - High Speed XML Database Solution | ||
| XML database technology that outperforms competing native XML databases. The novel technology allows the key benefit of emerging native XML databases - the ability to handle the growing number of web documents in their native XML format, while resolving the traditional poor performance. |
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XML Database Slides | |
| Solution for Improving Corporate Data Quality | ||
| A modelling approach and software tool to diagnose errors in corporate databases. The approach uses domain knowledge and "dynamic" business rules to address root causes of bad data rather than the conventional “data cleansing” tools that only correct errors. |
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Improving Corporate Data Quality | |
| Network Analytics for Improved Customer Relationship Management (CRM) | ||
| A software tool to leverage connections between customers e.g. phone calls, emails, financial transactions and others to highlight most influential customers. This information can then be used to target best customers, reduce churn and optimize roll out of new services. |
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Network Analytics for Improved Customer Relationship Management (CRM) | |
