Hi Matthias,
We worked on something similar: entity type discovery using linked open
data.
Our project was given a corpus of documents in the same domain, identify
specific entity types in the documents. Our objective was to search for
documents in a corpus by specific entities. For example:
Juan Sequeda wrote:
we followed several domain term extraction techniques.
any chance you could name drop / point to a few of the techniques - very
interested in this myself and in all honesty, no idea where to start
(other than a crude string split and check word combinations against a
: DBpedia-based entity recognition service / tool?
Dear LOD community,
I would be glad to hear your advice on how to best accomplish a simple
task:
extracting DBpedia entities (identified with DBpedia URIs) from a string
of
text. With good accuracy and recall, possibly with some options
Nathan,
On Feb 4, 2010, at 8:10, Nathan nat...@webr3.org wrote:
Juan Sequeda wrote:
we followed several domain term extraction techniques.
any chance you could name drop / point to a few of the techniques -
very
interested in this myself and in all honesty, no idea where to start
(other
On Thu, Feb 4, 2010 at 5:10 AM, Nathan nat...@webr3.org wrote:
Juan Sequeda wrote:
we followed several domain term extraction techniques.
any chance you could name drop / point to a few of the techniques - very
interested in this myself and in all honesty, no idea where to start
(other
On Tue, Feb 2, 2010 at 10:21 AM, Nathan nat...@webr3.org wrote:
I should probably be replying here as I've been doing this, and working
on this for the past few months.
I've found from experience that the only viable way to address this need
is to do as follows:
1: Pass content through to
Tom Morris wrote:
On Tue, Feb 2, 2010 at 10:21 AM, Nathan nat...@webr3.org wrote:
I should probably be replying here as I've been doing this, and working
on this for the past few months.
I've found from experience that the only viable way to address this need
is to do as follows:
1: Pass
Matthias,
Our epiphany project will also do part of what you want, although it is
geared towards providing RDFa output, i.e. annotating your html page
with links to dbpedia etc.
http://projects.dfki.uni-kl.de/epiphany/
- Gunnar
Ivan Herman wrote:
Not providing an answer, but... if such tools
Dear LOD community,
I would be glad to hear your advice on how to best accomplish a simple task:
extracting DBpedia entities (identified with DBpedia URIs) from a string of
text. With good accuracy and recall, possibly with some options to
constraint the recognized entities to some subset of
Hi Matthias,
have you ever tried this http://lupedia.ontotext.com/ ? Perhaps it may help.
cheers,
Davide
On Tue, Feb 2, 2010 at 1:26 PM, Matthias Samwald samw...@gmx.at wrote:
Dear LOD community,
I would be glad to hear your advice on how to best accomplish a simple task:
extracting
...@gmx.at
Cc: public-lod@w3.org
Subject: Re: DBpedia-based entity recognition service / tool?
Hi Matthias,
have you ever tried this http://lupedia.ontotext.com/ ? Perhaps it may
help.
cheers,
Davide
On Tue, Feb 2, 2010 at 1:26 PM, Matthias Samwald samw...@gmx.at wrote:
Dear LOD community,
I would
To: Matthias Samwald samw...@gmx.at
Cc: public-lod@w3.org
Subject: Re: DBpedia-based entity recognition service / tool?
Hi Matthias,
have you ever tried this http://lupedia.ontotext.com/ ? Perhaps it may
help.
cheers,
Davide
On Tue, Feb 2, 2010 at 1:26 PM, Matthias Samwald samw...@gmx.at
I should probably be replying here as I've been doing this, and working
on this for the past few months.
I've found from experience that the only viable way to address this need
is to do as follows:
1: Pass content through to both OpenCalais and Zemanta
2: Combine the results to provide a list of
Davide Palmisano wrote:
On Tue, Feb 2, 2010 at 3:39 PM, Matthias Samwald samw...@gmx.at wrote:
Davide wrote:
BTW: and what about http://www.alchemyapi.com ? have you tried it?
AlchemyAPI does not seem to return DBpedia / Wikipedia identifiers (?)
yes, read here
: public-lod-requ...@w3.org [mailto:public-lod-requ...@w3.org] On
Behalf Of Matthias Samwald
Sent: Tuesday, February 02, 2010 1:26 PM
To: public-lod@w3.org
Subject: DBpedia-based entity recognition service / tool?
Dear LOD community,
I would be glad to hear your advice on how to best
Georgi wrote:
So you're asking for the perfect entity recognition service, applicable to
the easy domain of scientific texts?
No, just something that does not suck.
Cheers,
Matthias
(Have registered for AlchemiAPI but have not tested it yet)
On Tue, Feb 2, 2010 at 4:47 PM, Georgi Kobilarov
georgi.kobila...@gmx.de wrote:
Hi Matthias,
So you're asking for the perfect entity recognition service, applicable to
the easy domain of scientific texts? Sure, I developed one in my spare time,
it's much better than OpenCalais, I was just too
Nathan wrote:
Davide Palmisano wrote:
On Tue, Feb 2, 2010 at 3:39 PM, Matthias Samwald samw...@gmx.at wrote:
Davide wrote:
BTW: and what about http://www.alchemyapi.com ? have you tried it?
AlchemyAPI does not seem to return DBpedia / Wikipedia identifiers (?)
yes, read here
Danbri wrote:
One idea I had on NoTube that is implemented experimentally in
http://lupedia.ontotext.com/ is to use RDFa as an interop point. So
one of the interfaces from the Ontotext demo there is to return RDFa
markup - http://lupedia.ontotext.com/test-page4rdfa.html
I had a similar idea
-lod@w3.org
Subject: Re: DBpedia-based entity recognition service / tool?
Hi Matthias,
have you ever tried this http://lupedia.ontotext.com/ ? Perhaps it
may help.
cheers,
Davide
On Tue, Feb 2, 2010 at 1:26 PM, Matthias Samwald samw...@gmx.at wrote:
Dear LOD community,
I would be glad
Matthias Samwald wrote:
Nathan wrote
Quite sure the results speak for themselves + glad that so much useful
information can be extracted from text all ready.
The results look good indeed. It even passed the FOAF test!
Can you estimate the ratio of contributions from Zemanta /
Kingsley wrote:
Since MarkMail hasn't indexed this page, could you make an HTML page
somewhere, with the excerpt above in a paragraph, then reply with the
doc URL, so I can quickly test to see how close we can get to what you
seek via our Sponger Middleware.
Sure. I uploaded it to
Nathan wrote:
Matthias Samwald wrote:
Nathan wrote
Quite sure the results speak for themselves + glad that so much useful
information can be extracted from text all ready.
The results look good indeed. It even passed the FOAF test!
Can you estimate the ratio of contributions
On 2/2/10 7:26 AM, Matthias Samwald wrote:
I would be glad to hear your advice on how to best accomplish a simple
task: extracting DBpedia entities (identified with DBpedia URIs) from a
string of text. With good accuracy and recall, possibly with some
options to constraint the recognized
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