Know-how is a fundamental aspect of human knowledge, and a large amount of it is represented as Web resources, such as step-by-step instructions and procedures. Despite their importance, those resources are difficult to access and reuse, due to their lack of structure and isolation from other related resources. This project addresses this problem by extracting knowledge about human activities, and the execution of such activities, which is then represented as Linked Data. In its Linked Data format this knowledge can be automatically reasoned with and enhanced by machines.

Items in this Collection

  • The Human Know-How Dataset 

    Pareti, Paolo; Klein, Ewan H.
    The Human Know-How Dataset describes 211,696 human activities from many different domains. These activities are decomposed into 2,609,236 entities (each with an English textual label). These entities represent over two ...