Linking data, services and human know-how
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An increasing number of everyday tasks involve a mixture of human actions and machine computation. This paper presents the first framework that allows non-programmer users to create and execute workflows where each task can be completed by a human or a machine. In this framework, humans and machines interact through a shared knowledge base which is both human and machine understandable. This knowledge base is based on the PROHOW Linked Data vocabulary that can represent human instructions and link them to machine functionalities. Our hypothesis is that non-programmer users can describe how to achievecertain tasks at a level of abstraction which is both human and machine understandable. This paper presents the PROHOW vocabulary and describes its usage within the proposed framework. We substantiate our claim with a concrete implementation of our framework and by experimental evidence.
Pareti , P , Klein , E & Barker , A D 2016 , Linking data, services and human know-how . in H Sack , E Blomqvist , M d'Aquin , S P Ponzetto & C Lange (eds) , The Semantic Web. Latest Advances and New Domains : 13th International Conference, ESWC 2016, Heraklion, Crete, Greece, May 29 -- June 2, 2016, Proceedings . Lecture Notes in Computer Science , vol. 9678 , Springer , pp. 505-520 , 13th ESWC 2016 , Heraklion, Crete , Greece , 29-2 June . DOI: 10.1007/978-3-319-34129-3_31conference
The Semantic Web. Latest Advances and New Domains
© 2016, Springer International Publishing Switzerland. This work is made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at link.springer.com / https://dx.doi.org/10.1007/978-3-319-34129-3_31
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