- From: Kingsley Idehen <kidehen@openlinksw.com>
- Date: Wed, 04 Dec 2013 12:05:15 -0500
- To: public-rdfjs@w3.org
- Message-ID: <529F60CB.2040509@openlinksw.com>
On 12/4/13 11:27 AM, Claus Stadler wrote: > 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! Yes, but why do you now introduce a MongoDB dependency? What happens when a SPARQL endpoint returns SELECT query results in JSON? What happens when a SPARQL endpoint returns DESCRIBE and CONSTRUCT query results in JSON-LD or RDF/JSON? > > > 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 ;) > Why don't you stick with SPARQL and triples? Why the MonogoDB dependency, I ask again? > 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. A lot of work that I believe can be negated by just using SPARQL, Triples (represented in RDF/JSON, JSON-LD if you choose) alongside HTML5 and CORs. I am hoping that this group is ultimately about solutions that are loosely coupled i.e., no dependencies beyond Javascript, HTTP, CORs, and structured data. Kingsley > > 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 >> >> > -- Regards, Kingsley Idehen Founder & CEO OpenLink Software Company Web: http://www.openlinksw.com Personal Weblog: http://www.openlinksw.com/blog/~kidehen Twitter Profile: https://twitter.com/kidehen Google+ Profile: https://plus.google.com/+KingsleyIdehen/about LinkedIn Profile: http://www.linkedin.com/in/kidehen
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Received on Wednesday, 4 December 2013 17:05:37 UTC