Integrating Know-How into the Linked Data Cloud
  This paper presents the first framework for integrating procedural knowledge,
or "know-how", into the Linked Data Cloud. Know-how available on the Web, such
as step-by-step instructions, is largely unstructured and isolated from other
sources of online knowledge. To overcome these limitations, we propose
extending to procedural knowledge the benefits that Linked Data has already
brought to representing, retrieving and reusing declarative knowledge. We
describe a framework for representing generic know-how as Linked Data and for
automatically acquiring this representation from existing resources on the Web.
This system also allows the automatic generation of links between different
know-how resources, and between those resources and other online knowledge
bases, such as DBpedia. We discuss the results of applying this framework to a
real-world scenario and we show how it outperforms existing manual
community-driven integration efforts.
