DOREMI Research Group

The work of many professionals today can be described as knowledge-based work. Everyday tasks may include gathering information in heterogeneous formats from multiple sources, following several information sources continuously, combining and modifying information, creating new publications based on or reusing document fragments, and storing crucial information into a personal knowledge base. As the amount of gathered data grows, automatic or semi-automatic discovery methods are gaining in importance in the quest to aid the understanding of data.

The DOREMI research group uses methods from document management, information retrieval, and text and data mining to fulfill the needs of this research area, which is driven by both practical and theoretical goals. Areas of interest include

• context-aware information retrieval,
• document assembly,
• information retrieval from structured and semi-structured documents,
• lexical semantics,
• question answering,
• text categorization,
• topic detection and tracking

DOREMI is part of larger research initiative called From Data to Knowledge, which has been selected as one of the centres of excellence by the Academy of Finland for the period 2002-2007.