User centered and ontology based information retrieval system for life sciences.

Area of Science:

• Life Science
• Bioinformatics
• Information Science

Background:

• Increasing electronic resources necessitate efficient retrieval tools.
• Semantic Web technologies and domain ontologies offer improvements.
• Current search engines lack user interaction and result adequacy explanations.

Purpose of the Study:

• To develop an information retrieval system leveraging domain ontologies.
• To enhance user interaction with retrieved resources.
• To provide explanations for result relevance to user queries.

Main Methods:

• Utilizes domain ontologies for information retrieval.
• Employs semantic proximities and aggregating models to assess document relevance.
• Features a graphical rendering of query results in a semantic map for user interaction.

Main Results:

• The system widens the set of relevant retrieved documents.
• Graphical display in a semantic map enhances user understanding of result adequacy.
• Facilitates interactive and iterative data exploration through query concept weighting and visual explanation.

Conclusions:

• The developed ontology-based information retrieval system (OBIRS) is available online.
• The system represents a step towards user-centered applications for decision support.
• It effectively enlightens users to relevant information for decision-making.