In the last post we read about CHARMe as an online collaboration tool, today I want to show you another application area of CHARMe. In the context of the CM SAF at DWD, the German weather service, we are thinking of transferring our dataset related internal bibliographic database to CHARMe. In doing so, we hope to achieve a tighter linking of the gathered primary and secondary literature of a referenced dataset to its primary entity and to place that information at a more prominent location than the local intranet. At the end of incorporating this bibliographic database into CHARMe the CM SAF users should have access to this information directly next to the dataset itself. But what are the steps of migration we have to take in order to achieve this aim? I won’t discuss those steps in detail but want to focus only on one major task: the classification of information.
As you already know CHARMe is following the principles of the Linked Data approach. One building block of this approach is applying a vocabulary, or more precisely an ontology, to the things we want to talk about. By choosing a common vocabulary or a well-known and well defined ontology, we can express our available bibliographic data in a semantic web fashioned way and in the same step they become more or less CHARMe enabled. And surprise, one of the major ontologies that’s driving CHARMe is FaBiO, the FRBR (Functional Requirements for Bibliographic Records)-aligned Bibliographic Ontology. The FaBiO gives us well-explained, hierarchal ordered terms like technical report, conference paper, web content or even blog and blog post among many others. By exploiting FaBiO we can classify our already gathered bibliographic information and make them understandable for humans and machines like CHARMe. Of cause there are some more steps to take to CHARMe-enable our internal bibliographic database but those might be covered in another post.
The message-triples of this post are:
CHARMe might be used as an online collaboration tool.
CHARMe might be used as a bibliographic database.
CHARMe uses FaBiO.
With these three pieces of information, especially the last one, a non-CHARMe machine/application got some very useful hints about what and how to query and/or link to our CHARMe-enabled bibliographic database.
Welcome to the world of the semantic web and linked data.