RDF

A lot of water under the bridge has gone by since the first release of Meandre 1.4.X series. In January I went back to the drawing board and start sketching what was going to be 1.5.X series. The slide deck embedded above is a extended list of the thoughts during the process. As usual, I started collecting feedback from people using 1.4.X in production, things that worked, things that needed improvement, things that were just plain over complicated....

A while ago I wrote some thoughts about how to map RDF to and from FluidDB. There I explored how you could map RDF onto FluidDB, and how to get it back. That got me thinking about how to get a simple endpoint you could query for RDF. Imagine that you could pull FluidDB data in RDF, then I could just get all the flexibility of SPARQL for free. With this idea in my mind I just went and grabbed Meandre, the JFLuidDB library started by Ross Jones, and build a few components....

Meandre (NCSA pushed data-intensive computing infrastructure) relies on RDF to describe components, flows, locations and repositories. RDF has become the central piece that makes possible Meandre’s flexibility and reusability. However, one piece still remains largely sketchy and still has no clear optimal solution: How can we facilitate to anybody sharing, publishing and annotating flows, components, locations and repositories? More importantly, how can that be done in the cloud in an open-ended fashion and allow anybody to annotate and comment on each of the afore mentioned pieces?...

Have you ever wondered who does your intranet link to? I was sitting the other day in a meeting (yes, I know, breaking news) and I was wondering what would be a fast way to be able to answer the question. The basic sketch I did in my mind was simple: Set up a web crawler to the domain I want to analyze Run the crawling job Get the links collected on the web map Process the links to only keep the site they refer to Remove duplicates Visualize the graph Simple isn’t it?...

Finally we have finished setting up the website for Meandre a semantic-driven data-intensive flow engine. Meandre provides basic infrastructure for data-intensive computation. It provides, among others, tools for creating components and flows, a high-level language to describe flows, and multicore and distributed execution environment based on a service-oriented paradigm. We are currently working on getting gear up for a first alpha release. You can visit the Meandre site here. I will be posting in the Meandre blog about our current steps toward getting the release out of the door....