Sparql. Demo of a Semantic Web Portal. Dynamic Semantic Publishing for any Blog (Part 2: Linked ReadWriteWeb) - benjamin nowack's blog. A DSP proof of concept using ReadWriteWeb.com data. The previous post described a generic approach to BBC-style "Dynamic Semantic Publishing", where I wondered if it could be applied to basically any weblog. During the last days I spent some time on a test evaluation and demo system using data from the popular ReadWriteWeb tech blog.
The application is not public (I don't want to upset the content owners and don't have any spare server anyway), but you can watch a screencast (embedded below). The application I created is a semantic dashboard which generates dynamic entity hubs and allows you to explore RWW data via multiple dimensions. In case you are interested in the technical details, fasten your data seatbelt and read on.
Behind the scenes As mentioned, the framework is supposed to make it easy for site maintainers and should work with plain HTML as input. In order to implement the process, I used Trice (once again), which supports simple agents out of the box. Post loader and parser. Kevin Kelly - "Web 3.0" Making the Semantic Web Accessible to the Casual User. Free Semantic Content: Using OpenCyc in Semantic Web Applications. OpenCyc will be more accessible and Semantic Web interoperability will be enhanced if users are able to access just the parts of OpenCyc they need.
The tutorial will describe how Semantic Web researchers and practitioners can benefit from integrating their representations with the extensive upper and middle level ontological content of the free and unrestricted OpenCyc knowledge base, and other integrative vocabularies like Okkam. The syntax of OpenCyc will be described both in raw form, and as mapped onto Semantic Web standard languages, and the content of the knowledge base will be described in overview.
Based on that, we’ll show how to extend the OpenCyc KB for user applications, and how to make use of it in a web-services environment to support knowledge integration, and simple machine learning applications. Would you like to put a link to this lecture on your homepage? Go ahead!