The Elsevier Grand Challenge: Knowledge Enhancement in the Life Sciences is a contest created to improve the way scientific information is communicated and used. The contest invites members of the scientific community to describe and prototype a tool to improve the interpretation and identification of meaning in (online) journals and text databases relating to the life sciences. Specifically we are looking for new ways to:
Freebase is an open database of the world’s information. It is built by the community and for the community—free for anyone to query, contribute to, build applications on top of, or integrate into their websites.
Why Dog Food?!
The call to "eat your own dog-food" is often heard in the Semantic Web research area. The motto encourages us to use the languages and tools that we are developing to support our own work and demonstrate convincing arguments for the introduction of explicit semantics.
The International Semantic Web and European Semantic Web Conference series have followed this maxim and published metadata describing the events. This metadata covers information about papers, schedules, attendees etc. Tools can then consume this information and provide services, such as intelligent scheduling or search, to conference attendees.