- Conference Chair:
- Chantal Soulé-Dupuis
Current content-based information management involves many different disciplines. Information must be retrieved from video, from sound, and from images and graphs. Question answering involves both syntax and semantics.
Information classification and filtering involve machine learning and linguistics. In addition, as information technology spreads throughout the world, a wider variety of languages in increasingly complex combinations must be handled.
In response to these evolving needs, RIAO'2004 conference covers the coupling of techniques from different domains to improve information retrieval. RIAO'2004 will present innovative research and developments from all areas of multi-media and multilanguage information retrieval. Combinations of techniques from disparate domains, treat retrieval from either a single medium, or across media (indexing one medium for find information in another), or from coupling unstructured and structured information (e.g. exploiting both text and XML structure), or from across languages.
Recommendations
Using information retrieval based coupling measures for impact analysis
Coupling is an important property of software systems, which directly impacts program comprehension. In addition, the strength of coupling measured between modules in software is often used as a predictor of external software quality attributes such as ...
Multimedia Information Retrieval Based on Late Semantic Fusion Approaches: Experiments on a Wikipedia Image Collection
Main goal of this work is to show the improvement of using a textual pre-filtering combined with an image re-ranking in a Multimedia Information Retrieval task. The defined three step-based retrieval processes and a well-selected combination of visual ...