This document summarizes a presentation on semantic tools for digital libraries called SEMLIB. It discusses how SEMLIB uses linked open data and semantic annotation to enhance digital collections and enable recommendations. Specific projects are described, including integrating semantic features into existing digital libraries, building annotation platforms, and experimenting with recommender APIs. Future work ideas involve improving recommendations, offering vocabularies as a service, and new projects like Agorà and DM2E.
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