Project: Multi-lingual and task-based information retrieval

Multi-lingual and task-based information retrieval is a long-term research project 2004 – 2009 led by Academy Professor Kalervo Järvelin. Its research is organized into four areas: (1) semantic information access, (2) cross-language information access, (3) structured document management and text mining, and (4) task-based IR methods. These are described below as separate projects

Duration

2004 - 2009

Researchers

The projects are lead by Academy Professor Kalervo Järvelin. Other researchers are named under individual projects.

Publications

The publications are listed under individual projects.

Relevant links

• The project ShOE – search ontology editor
• The project QUCCOO – ontology-based search interface
• The project OntolA– evaluation of interactive use of QUCCOO
• The project RelFB – simulated and pseudo relevance feedback
• The project multiGradeCLIR– direct and transitive cross-language IR evaluated by graded relevance assessments
• The project SGRAM– approximate string matching for out-of-vocabulary words in CLIR applications
• The project TRT– transliteration-based matching for out-of-vocabulary words in CLIR applications
• The project InferXML– inference of semantic associations over collections of XML documents
• The project OlapXML – creation of OLAP data cubes from collections of heterogeneous XML
• The project repXML– another look at XML representation in heterogeneous XML environments
• The project ontoXML– using ontologies in the management and access of heterogeneous XML collections
• The project PatIR– transliteration-based matching for out-of-vocabulary words in CLIR applications
• The project MolMedIA  – Information access in Molecular Medicine and Biotechnology.  

Updated 11.3.2008 Responsibility for updating: KJ