Hi Seth,
I found something in the Apache Stanbol project [1] that could be useful to
your problem.
There is a closed ticket (with source code attached) about Entity
Disambiguation using FOAF Correlation [2].
Cheers,
—
Andrea Giovanni Nuzzolese, Ph.D.
Semantic Technology Laboratory (STLab)
Thanks. I'm very aware of NLP capabilities. There really aren't many that
will do familial relationships out of the box -- IBM Watson, Open Calais.
In principle, a tool that does deep syntactic parsing could be adapted for
this sort of use, because syntactic relationships indicate semantic
Hi Seth,
Although I'd love to hear of a simpler process, I think you may need to
look at NLP software, such as CoreNLP (see http://corenlp.run for a demo),
and then programmatically link the entities detected.
Hope it helps
Alvaro Graves-Fuenzalida, PhD
Web: http://graves.cl - Twitter:
Do you have any sample document URLs? That would help anyone seeking to
respond to your request that produces these kinds of solutions.
Here's a text sample. There's actually quite a lot of salient information
to extract: Persons, inter-personal relationships, locations, events
(including
On 4/18/16 2:47 PM, Seth Grimes wrote:
> Yes, that's pretty much it, thanks. Anaphora (pronoun) resolution
> would be a big plus.
>
> Seth
Do you have any sample document URLs? That would help anyone seeking to
respond to your request that produces these kinds of solutions.
On 4/18/16 9:44 AM, Seth Grimes wrote:
> Hello,
>
> Are there any available information-extraction systems that
> implement the FOAF Relationship vocabulary
> (http://vocab.org/relationship/)? By available, I mean commercial or
> open source and currently maintained. My particular interest at
