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Nowadays, web contains a multitude of information sources and knowledge which often are represented as HTML files. These files can be used as educational resources (ERs) or may contain inside an object (piece of text, image ...) which representing a learning object of lower granularity, and can be appropriate for a specific educational scenario. In this paper we propose an approach that allows us to extract and annotate these resources in order to store them into an interoperable Learning Object Repository (LOR) EDUcational BANK. This LOR is qualified as “smart” LOR which the users can search the ERs from different points of view, especially educational type and domain topic.