This project introduces a collaborative multilingual semantic management of digital resources rltd related to Rice dmin domain. We pr provide id a fr framework rk that combines approaches based on Semantic Computing and Language Engineering with topic map data model (ISO 13250) to provide an effective semantic service. The platform combines a topic maps-based semantic support to the 5W1H model (Where, Who. When, What, Why and How). The MetaSemflow approach merges a local semantic indexing (metadata, feature vector) of multimedia documents and a vertical global semantic management according to end-users expertise and profile. 1. Background • Explosion of agriculture-related digital archives accessible over Internet • Needs to improve the semantic of multi-lingual multi-disciplinary agricultural rice studies • Large agriculture community • Management of the semantic interoperability based on scopes & profiles 2. MetaSemFlow Model LSA-enriched Topic Map data model (iso 12350
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