Intelligent Information Integration
The potential for more value-added information-intensive applications can only be realized by intelligently and efficiently integrating information from diverse or heterogeneous data sources such as from web sites, traditional databases, spreadsheets and electronic mails. Integrating information from heterogeneous data sources is by far one of the most challenging problems in the field of information technology. Success will depend on how well we can extract and interpret the data from these heterogeneous data sources. Research activities under this area will be anchored around the development of technologies based on MIT's Context Interchange (COIN) approach and applying them to various strategic areas such as healthcare, finance, education, tourism and entertainment. Other emerging Web technologies such as Web services, Web agents, and Semantic Web will also be explored and investigated to tackle challenging problems associated with information integration.
Research in this area at MUST grew out of a research collaborative program between MUST and MIT involving Context Interchange Systems Laboratory (CISL) at MIT Sloan School of Management and IT Faculty at MUST.
Research in this area at MUST grew out of a research collaborative program between MUST and MIT involving Context Interchange Systems Laboratory (CISL) at MIT Sloan School of Management and IT Faculty at MUST.
Principal Investigators at MUST
Investigators at MIT
Funded Projects
- Semantic Web Development Tools and Techniques for Supporting Intelligent Information Integration (IRPA Grant)
- Intelligent Integration and Dissemination of Healthcare Information (IRPA Grant)
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