Hi Get the following error when running the project in interlij idea

Exception in thread "main" java.io.FileNotFoundException:
../mappings/Mapping_ceb.xml (No such file or directory)
    at java.io.FileInputStream.open0(Native Method)
    at java.io.FileInputStream.open(FileInputStream.java:195)
    at java.io.FileInputStream.<init>(FileInputStream.java:138)
    at
org.dbpedia.extraction.sources.XMLSource$$anonfun$fromFile$1.apply(XMLSource.scala:32)
    at
org.dbpedia.extraction.sources.XMLSource$$anonfun$fromFile$1.apply(XMLSource.scala:32)
    at
org.dbpedia.extraction.sources.XMLReaderSource.foreach(XMLSource.scala:111)
    at scala.collection.TraversableLike$class.map(TraversableLike.scala:245)
    at
org.dbpedia.extraction.sources.XMLReaderSource.map(XMLSource.scala:108)
    at
org.dbpedia.extraction.server.ExtractionManager.loadMappingPages(ExtractionManager.scala:166)
    at
org.dbpedia.extraction.server.ExtractionManager$$anonfun$loadMappingPages$1.apply(ExtractionManager.scala:147)
    at
org.dbpedia.extraction.server.ExtractionManager$$anonfun$loadMappingPages$1.apply(ExtractionManager.scala:147)
    at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
    at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
    at
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
    at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:35)
    at scala.collection.TraversableLike$class.map(TraversableLike.scala:245)
    at scala.collection.AbstractTraversable.map(Traversable.scala:104)
    at
org.dbpedia.extraction.server.ExtractionManager.loadMappingPages(ExtractionManager.scala:147)
    at
org.dbpedia.extraction.server.DynamicExtractionManager.<init>(DynamicExtractionManager.scala:40)
    at org.dbpedia.extraction.server.Server.<init>(Server.scala:32)
    at org.dbpedia.extraction.server.Server$.main(Server.scala:74)
    at org.dbpedia.extraction.server.Server.main(Server.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at com.intellij.rt.execution.application.AppMain.main(AppMain.java:144)

On 9 March 2016 at 15:44, <[email protected]>
wrote:

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> Today's Topics:
>
>    1. Introducing myself. (ved mathai)
>    2. Re: Introduction and Interest in Table Extractor  Project
>       (Dimitris Kontokostas)
>    3. Re: GSoC + Setting up extraction-framework (Dimitris Kontokostas)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Wed, 9 Mar 2016 11:25:33 +0530
> From: ved mathai <[email protected]>
> Subject: [Dbpedia-gsoc] Introducing myself.
> To: [email protected]
> Message-ID:
>         <
> cak-vgpvchxgeoskusi-kj-dyoqe6o2dsymstw4kasi30q0c...@mail.gmail.com>
> Content-Type: text/plain; charset="utf-8"
>
> Hi,
> I am just taking this opportunity to introduce myself to the group. My name
> is Ved Mathai, and I am from Bangalore, India. I am a Masters student in
> Computer Science at the International Institute of Information Technology,
> Bangalore (IIIT-B). My research interests include web ontology and
> semantics, nlp, information retrieval. I am learning Machine Learning, Game
> Theory and Agent based modeling as part of course work.
> But for the last 8 months, I have been working on a project, which is
> actually another student's PhD project which uses dbpedia very closely. It
> attempts to take a simple csv file from let's say data.gov, about some
> topic say commodity prices or traffic details. Many of these tables aren't
> topically mapped to an ontology. So by using type information from DBpedia
> (and skos-classes) we find the most common types (non trivial) for each
> data value and store their frequency of occurrence. Then we map properties
> ?p (?s ?p ?o) where ?s is an item from one row one column and ?o is the
> data from the same row another column and we map the frequency of this
> property occurring between columns. And from this not only will we know the
> topic (theme) but also how the columns relate to each other (scheme) so
> that we can now suggest tuples back to a dataset (say dbpedia itself).
> We are awaiting acceptance for our paper in VLDB this year for this. The
> code for this however is available on github (not recent version). In this
> project, we faced a tables where a lot of columns are date values which
> exist on Wikipedia but not in DBpedia or not in xsd:format. So it seemed
> plausible that this whole domain of date time
> <
> http://wiki.dbpedia.org/ideas/idea/156/parsing-time-information-as-xsddates-from-wikipedia-plain-text/
> >
> can take some working on from the DBpedia extractor so that other projects
> built upon this benefit. And I have got some time on my hands, so I thought
> might as well make a proper contribution through Gsoc to the main code,
> rather than make ad hoc versions here for my research.
> Thanks,
> Ved
> -------------- next part --------------
> An HTML attachment was scrubbed...
>
> ------------------------------
>
> Message: 2
> Date: Wed, 9 Mar 2016 11:15:45 +0200
> From: Dimitris Kontokostas <[email protected]>
> Subject: Re: [Dbpedia-gsoc] Introduction and Interest in Table
>         Extractor       Project
> To: Sandro Coelho <[email protected]>
> Cc: Andrey Pechenezhskiy <[email protected]>,    "DBpedia GSoC
>         \(ML\)" <[email protected]>
> Message-ID:
>         <CA+u4+a0PJYN5rzq7gyfXw=QeCqvs=R5xBXztfV=R=
> [email protected]>
> Content-Type: text/plain; charset="utf-8"
>
> Hi Andrey & welcome,
>
> I sent you a slack invitation, regarding your project questions, I think it
> is best if you ask them on the ideas page directly
>
> Cheers,
> Dimitris
>
> On Wed, Mar 9, 2016 at 12:29 AM, Sandro Coelho <[email protected]>
> wrote:
>
> > Welcome to DBpedia Andrey!
> >
> > Nice to know that you are working on warm-up tasks. Keep going  and
> please use
> > the ideas page to discuss details for each project.
> >
> > About Slack, @Dimitris can provide you more details.
> >
> > All the best,
> >
> >
> > 2016-03-08 9:54 GMT-03:00 Andrey Pechenezhskiy <[email protected]
> >:
> >
> >> Hello!
> >>
> >> My name is Andrey Pechenezhskiy, I have been studying at the Perm State
> >> University, Russia for six years. My research interests lie in the
> fields
> >> of NLP and web-mining for Competitive Intelligence tasks.
> >>
> >> I am interested in the table extractor project
> >> <http://wiki.dbpedia.org/ideas/idea/59/the-table-extractor/> that aims
> >> to extract data hidden in tables because I have experience in the web
> >> content mining and Scala. I have studied the code of the soccer
> extractor
> >> <https://bitbucket.org/tsiteam/soccer-extractor> which parses a
> >> Wikipedia template ?CarrieraSportivo? and composes an RDF graph. I
> decided
> >> to continue working with the football domain on the first step because
> this
> >> domain contains many different tables. I have been researching the
> >> Wikipedia templates that formats tables. Then I have worked with the
> >> extraction-framework and found some infobox mappings for the table
> >> templates that could be useful.
> >>
> >> I think the project will be based on the systematization of hypothesis
> >> testing results. So, have the result of the project to be a new table
> >> extractor in extractor-framework and should intermediate work of the
> >> project be Scala scripts without extraction-framework?
> >>
> >> I will continue to explore extractor-framework, Wikipedia tables, and
> >> articles about the table extraction, then I will write the draft of the
> >> proposal and will implement extractor for some table templates in
> Scala. I
> >> will appreciate if you invited me in the DBpedia #gsoc slack channel or
> >> give me some suggestions.
> >>
> >> Thanks in advance!
> >>
> >>
> >>
> ------------------------------------------------------------------------------
> >> Transform Data into Opportunity.
> >> Accelerate data analysis in your applications with
> >> Intel Data Analytics Acceleration Library.
> >> Click to learn more.
> >> http://makebettercode.com/inteldaal-eval
> >> _______________________________________________
> >> Dbpedia-gsoc mailing list
> >> [email protected]
> >> https://lists.sourceforge.net/lists/listinfo/dbpedia-gsoc
> >>
> >>
> >
> >
> > --
> > Sandro
> >
> >
> >
> >
> >
> ------------------------------------------------------------------------------
> > Transform Data into Opportunity.
> > Accelerate data analysis in your applications with
> > Intel Data Analytics Acceleration Library.
> > Click to learn more.
> > http://makebettercode.com/inteldaal-eval
> > _______________________________________________
> > Dbpedia-gsoc mailing list
> > [email protected]
> > https://lists.sourceforge.net/lists/listinfo/dbpedia-gsoc
> >
> >
>
>
> --
> Kontokostas Dimitris
> -------------- next part --------------
> An HTML attachment was scrubbed...
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> ------------------------------
>
> Message: 3
> Date: Wed, 9 Mar 2016 12:14:05 +0200
> From: Dimitris Kontokostas <[email protected]>
> Subject: Re: [Dbpedia-gsoc] GSoC + Setting up extraction-framework
> To: Nico Del Piano <[email protected]>
> Cc: "DBpedia GSoC \(ML\)" <[email protected]>
> Message-ID:
>         <CA+u4+a3+QVM4j51ps=gN=
> [email protected]>
> Content-Type: text/plain; charset="utf-8"
>
> Welcome to DBpedia Nicolas!
>
> if you run it through intellij  you probably need to set the working
> directory to the module or maven directory.
> If this fixes the problem can you also update the documentation
> accordingly?
>
> [image: Inline image 1]
>
> Cheers,
> Dimitris
>
> On Wed, Mar 9, 2016 at 12:00 AM, Nico Del Piano <[email protected]> wrote:
>
> > Hi guys!
> >
> > I'm a Computer Science student from Rosario, Argentina. Last year I've
> > participated in the GSoC for Haskell.org and now I definitely want to
> > participate again. I find DBPedia a very interesting project and a
> > great community to be part of, and I'm looking for a cool project to
> > work on inside this organization. I'm keen on functional-oriented
> > languages (such as Scala, Haskell, and so on), and I came up with the
> > following idea which I'm very interested in:
> > http://wiki.dbpedia.org/ideas/idea/43/upgrade-fix-sweble-parser/
> >
> > To begin with, I'd like to start with the warm-up tasks, and I could
> > properly set the environment to work with the extraction-framework. I
> > followed this guide:
> >
> >
> https://github.com/dbpedia/extraction-framework/wiki/Setting-up-intellij-idea
> > .
> > However, when I run the project, I get the following error:
> >
> > Exception in thread "main" java.io.FileNotFoundException:
> > ../mappings/Mapping_ceb.xml (No such file or directory)
> >
> > Could you provide me with some help with this issue? Do I need to do
> > something else?
> >
> > Thanks in advance!
> >
> > Nicolas.
> >
> >
> >
> ------------------------------------------------------------------------------
> > Transform Data into Opportunity.
> > Accelerate data analysis in your applications with
> > Intel Data Analytics Acceleration Library.
> > Click to learn more.
> > http://makebettercode.com/inteldaal-eval
> > _______________________________________________
> > Dbpedia-gsoc mailing list
> > [email protected]
> > https://lists.sourceforge.net/lists/listinfo/dbpedia-gsoc
> >
>
>
>
> --
> Kontokostas Dimitris
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> ------------------------------
>
>
> ------------------------------------------------------------------------------
> Transform Data into Opportunity.
> Accelerate data analysis in your applications with
> Intel Data Analytics Acceleration Library.
> Click to learn more.
> http://pubads.g.doubleclick.net/gampad/clk?id=278785111&iu=/4140
>
> ------------------------------
>
> _______________________________________________
> Dbpedia-gsoc mailing list
> [email protected]
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>
>
> End of Dbpedia-gsoc Digest, Vol 17, Issue 7
> *******************************************
>
------------------------------------------------------------------------------
Transform Data into Opportunity.
Accelerate data analysis in your applications with
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Click to learn more.
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