Hi Wojtek,
Feel free to poke me if you need any help regarding spotlight
Cheers,
David
On Wed, May 11, 2016 at 10:51 AM, Marco Fossati <hell.j....@gmail.com>
wrote:
> Hey Wojtek,
>
> I strongly encourage you to reuse the fact extractor as much as you can
> if it is relevant to your work:
> https://github.com/dbpedia/fact-extractor
>
> Cheers,
>
> On 5/10/16 15:10, Alexandru Todor wrote:
> > Hi Wojtek,
> >
> > Welcome to the DBpedia Discussion mailing list. For the people
> > interested in your project I will mention following resources:
> > The github repo is accessible under [1]
> > The weekly reports and documentation will be available in the wiki [2]
> >
> > [1] https://github.com/dbpedia/topicmodel-extractor/
> > [2] https://github.com/dbpedia/topicmodel-extractor/wiki
> >
> > Cheers,
> > Alexandru
> >
> >
> > On Mon, May 9, 2016 at 4:50 PM, Wojtek Lukasiewicz <woj.lu...@gmail.com
> > <mailto:woj.lu...@gmail.com>> wrote:
> >
> > Dear DBpedia community,
> >
> > I'm Wojtek and hereby I would like to introduce myself as this
> > year's Google Summer of Code student.
> > My contribution to DBpedia will be mining topic models and extending
> > DBpedia Spotlight's functionality by predicting the topics of the
> > annotated document.
> >
> > Attached you can find the abstract of my proposal.
> >
> > Best regards,
> > Wojtek Lukasiewicz
> >
> > *Abstract*:
> > DBpedia, a crowd- and open-sourced community project extracting the
> > content from Wikipedia, stores this information in a huge RDF graph.
> > DBpedia Spotlight is a tool which delivers the DBpedia resources
> > that are being mentioned in the document.
> >
> > Using DBpedia Spotlight to extract and disambiguate Named Entities
> > from Wikipedia articles and then applying a topic modelling
> > algorithm (e.g. LDA) with URIs of DBpedia resources as features
> > would result in a model, which is capable of describing the
> > documents with the proportions of the topics covering them. But
> > because the topics are also represented by DBpedia URIs, this
> > approach could result in a novel RDF hierarchy and ontology with
> > insights for further analysis of the emerged subgraphs.
> >
> > The direct implication and first application scenario for this
> > project would be utilizing the inference engine in DBpedia
> > Spotlight, as an additional step after the document has been
> > annotated and predicting its topic coverage.
> >
> >
>
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>
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Mobile security can be enabling, not merely restricting. Employees who
bring their own devices (BYOD) to work are irked by the imposition of MDM
restrictions. Mobile Device Manager Plus allows you to control only the
apps on BYO-devices by containerizing them, leaving personal data untouched!
https://ad.doubleclick.net/ddm/clk/304595813;131938128;j
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