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- NRC Canadian Photonics Fabrication Centre
- NRC Centre for Surface Transportation Technology
- NRC Genomics and Health Initiative
- NRC Imaging Network Portal
- NRC Institute for Aerospace Research
- NRC Institute for Biodiagnostics
- NRC Institute for Information Technology
- NRC Institute for Microstructural Sciences
- NRC Institute for Research in Construction
- National Institute for Nanotechnology
- National Research Council Canada
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Program Leader
Joel Martin
Phone: 613-993-0266
Fax: 613-990-3908
Email: Joel.Martin@nrc-cnrc.gc.ca
Business Contact
Randall Milburn
Phone: 613-993-0221
Fax: 613-952-0215
Email: Randall.Milburn@nrc-cnrc.gc.ca
Interactive Information
With the rapid growth of the Internet and other network shared information, computers have access to large amounts of text. With that rise there has been an increase in the demand for systems that can automatically extract useful knowledge from that text.
Companies are increasingly realizing the benefit of using text mining tools to harness the information in unstructured data. Important information is often in textual form, such as medical records, journal articles, blogs, and internal reports. Because there is so much text available, the useful knowledge in such files is difficult to find, access, analyze or use.
In the NRC Institute for Information Technology (NRC-IIT) Interactive Information program, researchers focus on the research, development and application of techniques to enhance access to information. Specifically, the program answers the demand for text mining through the development of techniques and methods for mining unstructured, semi-structured and fully structured textual data.
Researchers in the program approach the problem of information access in two general ways:
- The computer works alone, using heuristics and statistics to extract useful information.
- Users guide the computational search interactively to result in better answers than either computer or human could find alone.
The research projects being conducted combine these approaches to advance the scientific study of:
- machine learning
- human computer interfaces
- natural language processing
Current Projects
Past Projects
- Adverbs: Intelligent Computer Aided Language Learning (iCALL)
- EurekaSeek
- Extractor4Speech
- Scientific Literature Mining (LitMiner)
For additional information, please communicate with the contacts listed in the right hand side column or see the Interactive Information Group.
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