Re: Call for Editors!

Hi Juan,

thanks.

(Just to make it clear: I do not try to be picky here, I am just trying to articulate the issues for future reference...)

- This is clear use case for the usage of RDF, ie, to convert CSV data into RDF. 

- It also reflect the need to use a common vocabulary for all the converted CSV files from a particular domain, thereby binding the data to Linked Data. Meaning to use somewhere in the workflow a tool that goes beyond direct mapping. 

I wonder whether this should not be added to a next version of the UCR document (I let Jeremy look into this). Mainly in terms of the Direct mapping vs. more, it is a good practical example!

But (and here is where I am picky:-(

I understand you used the existing toolkit around R2RML and, in your case, being one of the co-editors of the Direct Mapping document, this was the absolutely natural thing to do. However... I am looking at use cases that contrast an R2RML approach to the the JSON centric approach. Because, at some point, we may have to choose, right? Would your work have been equally possible (try to forget about your personal experience) using CSV-JSON? Would have it been easier/more difficult/equal? 

Thanks

Ivan

On 21 Mar 2014, at 24:25 , Juan Sequeda <juanfederico@gmail.com> wrote:

> Ivan, all,
> 
> This is our use-case:
> 
> Constitute Project [1] is a search engine for the worlds constitution. This is a project funded by Google Ideas [2]. We, Capsenta, did the mapping of the constitution data to RDF and OWL. All of the data was original Excel spreadsheets (i.e. CSV files). What we did was to import the spreadsheets into SQL Server, and then used Direct Mapping, R2RML and Ultrawrap to map the data to RDF. Why did we want to use RDF/OWL? Several reasons:
> 
> 1) RDF (graph data model) is flexible. We don't know what is going to happen to constitutional data later. So we need to be ready for change
> 2) We currently have 189 constitutions, each in it's own spreadsheet. We need to integrate this data.
> 3) We created an ontology about constitutional topics. Naturally, we want to represent this in OWL.
> 4) We want to link to other datasets, such as DBpedia
> 5) RDF is becoming the standard to publish open data.
> 
> These reasons are not specific to Constitute. It can apply to any csv dataset which needs search or integrated with other datasets.  More info can be found in our 2013 Semantic Web Challenge submission [3]. We won 2nd prize :) 
> 
> Constitute is having a lot of impact. We know for a fact that constitutional drafters of Tunsia, Egypt and now Mongolia have been using Constitute. 
> 
> Btw, interesting fact: On average, 5 constitutions are written from scratch every year. A constitution last on average for 20 years. People who write constitutions have never done that before and will never do that again; that is why they want to search through existing constitutions. 
> 
> [1] https://www.constituteproject.org/#/
> [2] https://www.google.com/ideas/projects/constitute/
> [3] http://challenge.semanticweb.org/2013/submissions/swc2013_submission_12.pdf
> 
> 
> Juan Sequeda
> +1-575-SEQ-UEDA
> www.juansequeda.com
> 
> 
> On Thu, Mar 20, 2014 at 12:53 PM, Ivan Herman <ivan@w3.org> wrote:
> Sorry if I sound like a broken record, but I would really like to see and understand the CSV->RDF use cases, also in terms of the people who are likely to use that. Learning CSV-LD or R2RML-CSV requires a learning curve. The question is which of the two is steeper for the envisaged user base.
> 
> (I do not have anything against any of the two, but we may have to make a choice at some point if we go down that route...)
> 
> Ivan
> 
> On 20 Mar 2014, at 18:47 , Gregg Kellogg <gregg@greggkellogg.net> wrote:
> 
> > On Mar 20, 2014, at 10:39 AM, Juan Sequeda <juanfederico@gmail.com> wrote:
> >
> >> If there is going to be a CSV to RDF mapping, shouldn't it be relatively close (if not almost equal to) R2RML. I foresee users doing RDB2RDF mappings with R2RML and having a few (or many) CSV files that they would like to map to RDF too. They would want to continue using the same tool.
> >>
> >> What we do is import the CSVs to a RDB, and then use R2RML. So as a user who needs to transform to RDF, I would want to have something almost equivalent to R2RML.
> >
> > This certainly is a valid use case. I was considering what the impact on developers using these tools might be. If there is a single tool (and spec) which handles the relevant use cases, then it might simplify the life of developers. Nothing against R2RML, and if that's the chain a developer's working with, the same logic would indicate that having to use something like CSV-LD would be a burden.
> >
> > Gregg
> >
> >> Juan Sequeda
> >> +1-575-SEQ-UEDA
> >> www.juansequeda.com
> >>
> >>
> >> On Thu, Mar 20, 2014 at 12:08 PM, Gregg Kellogg <gregg@greggkellogg.net> wrote:
> >> On Mar 20, 2014, at 9:52 AM, Andy Seaborne <andy@apache.org> wrote:
> >>
> >> > On 20/03/14 15:34, Ivan Herman wrote:
> >> >>
> >> >> On 20 Mar 2014, at 16:03 , Juan Sequeda <juanfederico@gmail.com> wrote:
> >> >>
> >> >>> I would say yes :)
> >> >>>
> >> >>> 1) Direct Mapping is completely automatic
> >> >>> 2) R2RML is a manual.
> >> >>
> >> >> Correct. The question for me is: do the use cases around justify the extra (non-trivial) effort of defining an R2RML-CSV? Remember that the definition of R2RML took over two years:-(
> >> >
> >> > Caution warranted - it needs to be scoped downwards.  I hope (but can not prove) that the CSV mapping is less of a mountain.
> >> >
> >> > CSV-LD is a R2RML(-ish) mapping.  Gregg's already started, so not 2 years :-)
> >>
> >> Yes, CSV-LD is much like R2RML, but I think we could complete a spec in fairly short order.
> >>
> >> For the direct mapping, this could be a default mapping done by automatically constructing a context along the lines Andy had suggested, and could fall out of that spec as well.
> >>
> >> One consideration, is converting CSV files with a very large number of rows. The CSV-LD model would essentially create a document for each row, so converting to RDF could be streamed, but some provision for BNode identifiers would need to be made, so that if some value maps to a BNode, it would be preserved across records and not result in a new BNode being minted, even though it had the same identifier. This isn't really a problem, but it would mean specifying an algorithm that extended the existing JSON-LD conversion algorithms to the degree that the BNode identifier mapping would persist so that the conversion can be streamed.
> >>
> >> Gregg
> >>
> >> >       Andy
> >> >
> >> >>
> >> >> Ivan
> >> >>
> >> >>>
> >> >>> Direct Mapping bootstraps the R2RML.
> >> >>>
> >> >>> Btw, I would be interested in participating in the CSV to RDF effort.
> >> >>>
> >> >>>
> >> >>> Juan Sequeda
> >> >>> +1-575-SEQ-UEDA
> >> >>> www.juansequeda.com
> >> >>>
> >> >>>
> >> >>> On Thu, Mar 20, 2014 at 6:44 AM, Andy Seaborne <andy@apache.org> wrote:
> >> >>> On 20/03/14 11:31, Ivan Herman wrote:
> >> >>>
> >> >>> On 20 Mar 2014, at 11:40 , Andy Seaborne <andy@apache.org> wrote:
> >> >>>
> >> >>> On 19/03/14 23:09, Jeni Tennison wrote:
> >> >>> Hi,
> >> >>>
> >> >>> Now that the first two of our documents are getting published as first public working drafts, we are moving on to the next stage of our work, namely looking at conversion from tabular data into other formats.
> >> >>>
> >> >>> We have a wiki document here:
> >> >>>
> >> >>>    https://www.w3.org/2013/csvw/wiki/Conversions
> >> >>>
> >> >>> that describes in very broad terms what we need to do.
> >> >>>
> >> >>> Specifically, we’re looking for volunteers to lead the efforts / edit four documents, specifying:
> >> >>>
> >> >>>    * Conversion of CSV to RDF
> >> >>>
> >> >>> RDF to RDF had two conversion documents.
> >> >>>
> >> >>> I guess you meant RDB to RDF...
> >> >>>
> >> >>> Yes.  Typo.  s/x42/x46/ -- only one bit out.
> >> >>>
> >> >>>         Andy
> >> >>>
> >> >>>
> >> >>>
> >> >>> Ivan
> >> >>>
> >> >>>
> >> >>> (with no strong advocacy)
> >> >>> With hindsight, was it a good idea? Should we do the same?
> >> >>>
> >> >>>    * Conversion of CSV to JSON and/or a browser API
> >> >>>    * Conversion of CSV to XML (possibly pending actually having a use case for this)
> >> >>>    * Conversion of CSV into a tabular data platform / framework / store (eg into a spreadsheet application or relational database or application like R)
> >> >>>
> >> >>> Please step forward, by editing the wiki, to lead the work on one of these documents and/or volunteer to help someone else with the work that needs to go into it. Obviously everything will be discussed on the list, but lead editors are instrumental in framing those discussions.
> >> >>>
> >> >>> Thanks,
> >> >>>
> >> >>> Jeni
> >> >>> --
> >> >>> Jeni Tennison
> >> >>> http://www.jenitennison.com/
> >> >>>
> >> >>>
> >> >>>
> >> >>>
> >> >>>
> >> >>> ----
> >> >>> Ivan Herman, W3C
> >> >>> Digital Publishing Activity Lead
> >> >>> Home: http://www.w3.org/People/Ivan/
> >> >>> mobile: +31-641044153
> >> >>> GPG: 0x343F1A3D
> >> >>> FOAF: http://www.ivan-herman.net/foaf
> >> >>>
> >> >>>
> >> >>>
> >> >>>
> >> >>>
> >> >>>
> >> >>>
> >> >>>
> >> >>
> >> >>
> >> >> ----
> >> >> Ivan Herman, W3C
> >> >> Digital Publishing Activity Lead
> >> >> Home: http://www.w3.org/People/Ivan/
> >> >> mobile: +31-641044153
> >> >> GPG: 0x343F1A3D
> >> >> FOAF: http://www.ivan-herman.net/foaf
> >> >>
> >> >>
> >> >>
> >> >>
> >> >>
> >> >
> >> >
> >>
> >>
> >
> 
> 
> ----
> Ivan Herman, W3C
> Digital Publishing Activity Lead
> Home: http://www.w3.org/People/Ivan/
> mobile: +31-641044153
> GPG: 0x343F1A3D
> FOAF: http://www.ivan-herman.net/foaf
> 
> 
> 
> 
> 
> 


----
Ivan Herman, W3C 
Digital Publishing Activity Lead
Home: http://www.w3.org/People/Ivan/
mobile: +31-641044153
GPG: 0x343F1A3D
FOAF: http://www.ivan-herman.net/foaf

Received on Friday, 21 March 2014 09:31:41 UTC