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  GeneScene is designed to combine text and data mining for biomedicine.


  To develop techniques to enhance information retrieval and knowledge management of large digital collections.


  To develop techniques to enhance information retrieval of large digital collections and to support semantic interoperability across subject domain.


  To support concept-based retrieval of large-scale medical literature and records.


  To develop innovative methods for information analysis and visualization.


  To develop intelligent Internet agents to facilitate information retrieval from disparate sources.


  To develop techniques to support semantic interoperability of geographic information retrieval system which consists of image, digital, and textual data.


  To develop techniques to support ross-Language Information Retrieval (CLIR) and cross-lingual semantic interoperability.


  To integrate law enforcement databases in a single web-based interface and to support intelligence analysis.


  To develop knowledge management techniques for groupware and CSCW systems.
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