- From: Claus Stadler <cstadler@informatik.uni-leipzig.de>
- Date: Wed, 04 Dec 2013 17:27:52 +0100
- To: public-rdfjs@w3.org
Hi list, I feel its time that we share some information of JavaScript related projects we are working on: >> My vision is that power users will be able to create/adapt views This is also our vision, but we are using a different approach: Rather then describing views in RDF, we just embrace the AngularJS framework and work on a SPARQL-to-JSON mapper called Sponate for this purpose. In a nutshell, Sponate is a combination of the words SParql, jsON and hiberNATE, and allows you to aggregate SPARQL result sets into JSON documents. Based on these JSON documents, Sponate then offers a MongoDB interface for querying (check http://docs.mongodb.org/manual/reference/operator/query/). And the best thing: AngularJS makes the creation of interactive views based on JSON documents a real breeze! An very initial demo is available here (check the source code of the page). http://cstadler.aksw.org/jassa/sponate/ Right now we are working on translating MongoDB criteria queries into corresponding SPARQL graph patterns. The demo only features client side filtering, which is pretty useless for large result sets ;) Furthermore, we are combining this approach with the 'Facete' library, which will eventually offer client side SPARQL based faceted search over the Sponate views. (Hope to have a demo on this in 1 or 2 weeks) For managing the complexity, we are developing these efforts under the name Jassa - which stands for JAvscript Suite for Sparql Access. https://github.com/GeoKnow/Jassa It re-uses many design patterns of the Apache Jena project - I didn't feel there was a need to invent some JavaScriptish/JSONish API which gets more messy to use as the complexity increases :) Maybe its also interesting to mention, that Jassa builds on prior expertise we collected from the following projects: 'Sparqlify': SPARQL-to-SQL rewriter (https://github.com/AKSW/Sparqlify) (Sponate is is some way similar to SPARQL-to-SQL rewriting, yet different) 'Facete SPARQL Browser': (http://cstadler.aksw.org/facete/), Application from which we are factoring out the faceted search JavaScript library 'Facete' 'Jena SPARQL API' (https://github.com/AKSW/jena-sparql-api): Utility library with a Sparql service abstraction as to not have the application layer to worry about caching, delays, pagination, and temorary failures. 'Mappify': (https://github.com/GeoKnow/Mappify) Customized creation of interactive maps from spatial RDF data - based on Jassa - first public relase planned in January. If anyone is interested in joining efforts, that would be awesome :) For example, I would love to adapt/integrate a Sparql parser into Jassa, such as for query optimization. Best, Claus On 04.12.2013 16:42, Adrian Gschwend wrote: > On 04.12.13 12:37, Ruben Verborgh wrote: > > Hi Ruben, hi Michael, > >> That sounds cool. Would you have a demo somewhere? Also, I like the >> word "adaptive" in there and I wonder whether it could be a nice >> application of streaming. We could imagine the simple case of the >> visualization updating as a large Turtle file comes in, but also >> updating iteratively as more and more data is explored. For instance, >> if a user activates a node, data is pulled from the Web through >> dereferencing. > would be cool indeed. The idea is to use the power of RDF to create > adaptive views. When I started working with RDF a few years back I was > very frustrated with the visual interface layer, which was back then > basically non existing. Now we have at least some choice but what bugs > me is that with RDF I get a highly adaptive data model (at least > compared to everything else I know) but I still have to create views the > way I did it since I started playing with PHP & SQL 15 years ago. Like > more or less hard wired views on a (again mostly hard wired) queries. > > So in this project we try to come up with a layer which decouples this. > You can describe a view in RDF, using classes & attributes to describe > what this view should consist of. When we get RDF data (via > dereferencing or via query) we analyze what we get, try to find a > matching view (or might ask the user to choose one if we have more than > one) and hand it to a "renderer". In the rendering I can use different > templates for different devices or interfaces. Like this we can show > different representations of the same data and the same view on > different devices (or user preferences). We try to do this as generic as > possible but as specific as necessary. > > My vision is that power users will be able to create/adapt views and > share them (as RDF graphs) among other users. The UI elements can also > be more or less generic (container like principle) so they can get > shared and combined within certain boundaries. > > For those who did work with Frenel: It goes into a similar direction but > differs in details and implementation (for reasons I will describe when > we have some demos). > > > regards > > Adrian > > -- Dipl. Inf. Claus Stadler Department of Computer Science, University of Leipzig Research Group: http://aksw.org/ Workpage & WebID: http://aksw.org/ClausStadler Phone: +49 341 97-32260
Received on Wednesday, 4 December 2013 16:28:23 UTC