Re: [foaf-dev] FOAF Relationship

[Andrea Nuzzolese]

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)
Institute for Cognitive Science and Technology (ISTC)
National Research Council (CNR)
Via Nomentana 56, Roma - Italy


[1] https://stanbol.apache.org/ 
[2] https://issues.apache.org/jira/browse/STANBOL-1161 


> On 18 Apr 2016, at 23:01, Seth Grimes  wrote:
> 
> 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 ones, but I'm 
> looking for built-in capabilities
> 
> But I'm sure there are quite a few NLP tools I don't know. I decided to come 
> at the question from a different direction. Since the FOAF Relationship 
> scheme can capture familial relationships (among others), I was hoping 
> someone who works with it might have ideas about tools that could automate 
> extraction that would use it.
> 
>   Seth
> 
> 
> On Mon, 18 Apr 2016, Alvaro Graves wrote:
> 
>> 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: @alvarograves
>> 
>> On Mon, Apr 18, 2016 at 12:08 PM, Seth Grimes  wrote:
>> 
>>> 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 sequence). But I'm not looking for comprehensive narrative
>>> mining. For now, I'm looking only for limited relation extraction and
>>> representation, to support queries across the relationship graph.
>>> 
>>>Sandy was removed from her home by CPS and placed in foster care
>>> after her class teacher observed multiple bruises on Sandy's body. It is
>>> alleged that mother's boyfriend inflicted the injuries. Mother claims she
>>> was unaware of the injuries. Mother has a history of reported drug and
>>> alcohol use and was intoxicated at the time of CPS investigation. Sandy is
>>> currently placed in the agency-operated foster boarding home of Ms. Jones.
>>> Child's mother is allowed to have supervised visits at the foster care
>>> agency until the next planning conference.  Caseworker visited the foster
>>> boarding home of Ms. Jones today to assess Sandy's adjustment to placement
>>> with the Jones' family.  Present in Ms. Jones's home were Ms. Jones, her
>>> two daughters (Erika and Mona), and her foster child, Sandy. Ms. Jones said
>>> her husband was away on business as an insurance evaluator.  The home was
>>> messy with clothes strewn all over the living room floor. The sink was
>>> piled high with dirty dishes and two roaches were observed crawling on the
>>> wall. There were an opened box of cereal, bread, and peanut butter on the
>>> dining table. The apartment is sparsely furnished with a dining table and
>>> chairs, a sofa that is fabric upholstered and heavily soiled, and a
>>> television set. The sleeping arrangement is adequate but there are no
>>> closets or chests of drawers to store the children's clothing. Mary has her
>>> own bedroom and Johnny and Jonathan share a bedroom with two small beds.
>>> Ms. Brown has her own bedroom. The home has safety devices installed
>>> (window guards, fire and carbon monoxide alarms).  Ms. White, Sandy's
>>> mother came to the office today for a supervised visit. Mother looked
>>> somewhat disheveled; her hair was uncombed, her clothes were heavily soiled
>>> and she smelled of alcohol. Caseworker asked mother if she had been
>>> drinking. Mother said she had just had a beer. Sandy took a while to warm
>>> up to her mother. Mother brought a packet of potato chips for Sandy. Sandy
>>> took the chips after much prodding from Ms. Jones but returned to snuggle
>>> up to Ms. Jones.  Sandy disclosed to caseworker that she was fearful of
>>> returning home in case mother's boyfriend hurt her again. Sandy said
>>> mother's boyfriend often hit her for no reason.
>>> 
>>> Thanks,
>>> 
>>>Seth
>>> 
>>> 
>>> 
>>> On Mon, 18 Apr 2016, Kingsley Idehen wrote:
>>> 
>>> On 4/18/16 2:47 PM, Seth Grimes wrote:
 
> Yes, that's pretty much it, thanks. Anaphora (pronoun) 

Re: [foaf-dev] FOAF Relationship

[Seth Grimes]

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 ones, 
but I'm looking for built-in capabilities


But I'm sure there are quite a few NLP tools I don't know. I decided to 
come at the question from a different direction. Since the FOAF 
Relationship scheme can capture familial relationships (among others), I 
was hoping someone who works with it might have ideas about tools that 
could automate extraction that would use it.


Seth


On Mon, 18 Apr 2016, Alvaro Graves wrote:


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: @alvarograves

On Mon, Apr 18, 2016 at 12:08 PM, Seth Grimes  wrote:


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 sequence). But I'm not looking for comprehensive narrative
mining. For now, I'm looking only for limited relation extraction and
representation, to support queries across the relationship graph.

Sandy was removed from her home by CPS and placed in foster care
after her class teacher observed multiple bruises on Sandy's body. It is
alleged that mother's boyfriend inflicted the injuries. Mother claims she
was unaware of the injuries. Mother has a history of reported drug and
alcohol use and was intoxicated at the time of CPS investigation. Sandy is
currently placed in the agency-operated foster boarding home of Ms. Jones.
Child's mother is allowed to have supervised visits at the foster care
agency until the next planning conference.  Caseworker visited the foster
boarding home of Ms. Jones today to assess Sandy's adjustment to placement
with the Jones' family.  Present in Ms. Jones's home were Ms. Jones, her
two daughters (Erika and Mona), and her foster child, Sandy. Ms. Jones said
her husband was away on business as an insurance evaluator.  The home was
messy with clothes strewn all over the living room floor. The sink was
piled high with dirty dishes and two roaches were observed crawling on the
wall. There were an opened box of cereal, bread, and peanut butter on the
dining table. The apartment is sparsely furnished with a dining table and
chairs, a sofa that is fabric upholstered and heavily soiled, and a
television set. The sleeping arrangement is adequate but there are no
closets or chests of drawers to store the children's clothing. Mary has her
own bedroom and Johnny and Jonathan share a bedroom with two small beds.
Ms. Brown has her own bedroom. The home has safety devices installed
(window guards, fire and carbon monoxide alarms).  Ms. White, Sandy's
mother came to the office today for a supervised visit. Mother looked
somewhat disheveled; her hair was uncombed, her clothes were heavily soiled
and she smelled of alcohol. Caseworker asked mother if she had been
drinking. Mother said she had just had a beer. Sandy took a while to warm
up to her mother. Mother brought a packet of potato chips for Sandy. Sandy
took the chips after much prodding from Ms. Jones but returned to snuggle
up to Ms. Jones.  Sandy disclosed to caseworker that she was fearful of
returning home in case mother's boyfriend hurt her again. Sandy said
mother's boyfriend often hit her for no reason.

Thanks,

Seth



On Mon, 18 Apr 2016, Kingsley Idehen wrote:

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.


Kingsley




On Mon, 18 Apr 2016, Kingsley Idehen wrote:

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 this
moment is identification and extraction of familial relationships from
documents, and preferably also of attributes associated with the
relationships, and representation of extracted relationships.

Thanks,

Seth



--
Seth Grimesgri...@altaplana.com   +1 301-270-0795@sethgrimes
Alta Plana Corp, analytics strategy consulting, http://altaplana.com

Re: [foaf-dev] FOAF Relationship

[Alvaro Graves]

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: @alvarograves

On Mon, Apr 18, 2016 at 12:08 PM, Seth Grimes  wrote:

> 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 sequence). But I'm not looking for comprehensive narrative
> mining. For now, I'm looking only for limited relation extraction and
> representation, to support queries across the relationship graph.
>
> Sandy was removed from her home by CPS and placed in foster care
> after her class teacher observed multiple bruises on Sandy's body. It is
> alleged that mother's boyfriend inflicted the injuries. Mother claims she
> was unaware of the injuries. Mother has a history of reported drug and
> alcohol use and was intoxicated at the time of CPS investigation. Sandy is
> currently placed in the agency-operated foster boarding home of Ms. Jones.
> Child's mother is allowed to have supervised visits at the foster care
> agency until the next planning conference.  Caseworker visited the foster
> boarding home of Ms. Jones today to assess Sandy's adjustment to placement
> with the Jones' family.  Present in Ms. Jones's home were Ms. Jones, her
> two daughters (Erika and Mona), and her foster child, Sandy. Ms. Jones said
> her husband was away on business as an insurance evaluator.  The home was
> messy with clothes strewn all over the living room floor. The sink was
> piled high with dirty dishes and two roaches were observed crawling on the
> wall. There were an opened box of cereal, bread, and peanut butter on the
> dining table. The apartment is sparsely furnished with a dining table and
> chairs, a sofa that is fabric upholstered and heavily soiled, and a
> television set. The sleeping arrangement is adequate but there are no
> closets or chests of drawers to store the children's clothing. Mary has her
> own bedroom and Johnny and Jonathan share a bedroom with two small beds.
> Ms. Brown has her own bedroom. The home has safety devices installed
> (window guards, fire and carbon monoxide alarms).  Ms. White, Sandy's
> mother came to the office today for a supervised visit. Mother looked
> somewhat disheveled; her hair was uncombed, her clothes were heavily soiled
> and she smelled of alcohol. Caseworker asked mother if she had been
> drinking. Mother said she had just had a beer. Sandy took a while to warm
> up to her mother. Mother brought a packet of potato chips for Sandy. Sandy
> took the chips after much prodding from Ms. Jones but returned to snuggle
> up to Ms. Jones.  Sandy disclosed to caseworker that she was fearful of
> returning home in case mother's boyfriend hurt her again. Sandy said
> mother's boyfriend often hit her for no reason.
>
> Thanks,
>
> Seth
>
>
>
> On Mon, 18 Apr 2016, Kingsley Idehen wrote:
>
> 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.
>>
>>
>> Kingsley
>>
>>>
>>>
>>> On Mon, 18 Apr 2016, Kingsley Idehen wrote:
>>>
>>> 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 this
> moment is identification and extraction of familial relationships from
> documents, and preferably also of attributes associated with the
> relationships, and representation of extracted relationships.
>
> Thanks,
>
> Seth
>
>
>
> --
> Seth Grimesgri...@altaplana.com   +1 301-270-0795@sethgrimes
> Alta Plana Corp, analytics strategy consulting, http://altaplana.com
> Sentiment Analysis Symposium, July 12 in NYC, SentimentSymposium.com
>

 Hi Seth,

 Are you looking for technology that would perform the following tasks?

 [1] analyze a document containing a collection of English sentences
 representing familial relationships
 [2] extract said relationships and then convert to RDF sentences using
 terms from the FOAF vocabulary
 [3] return an RDF document and the final output artifact.

 I've copied the LOD list 

Re: [foaf-dev] FOAF Relationship

[Seth Grimes]

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 sequence). But I'm not looking for comprehensive narrative 
mining. For now, I'm looking only for limited relation extraction and 
representation, to support queries across the relationship graph.


	Sandy was removed from her home by CPS and placed in foster care 
after her class teacher observed multiple bruises on Sandy's body. It is 
alleged that mother's boyfriend inflicted the injuries. Mother claims she 
was unaware of the injuries. Mother has a history of reported drug and 
alcohol use and was intoxicated at the time of CPS investigation. Sandy is 
currently placed in the agency-operated foster boarding home of Ms. Jones. 
Child's mother is allowed to have supervised visits at the foster care 
agency until the next planning conference.  Caseworker visited the foster 
boarding home of Ms. Jones today to assess Sandy's adjustment to placement 
with the Jones' family.  Present in Ms. Jones's home were Ms. Jones, her 
two daughters (Erika and Mona), and her foster child, Sandy. Ms. Jones 
said her husband was away on business as an insurance evaluator.  The home 
was messy with clothes strewn all over the living room floor. The sink was 
piled high with dirty dishes and two roaches were observed crawling on the 
wall. There were an opened box of cereal, bread, and peanut butter on the 
dining table. The apartment is sparsely furnished with a dining table and 
chairs, a sofa that is fabric upholstered and heavily soiled, and a 
television set. The sleeping arrangement is adequate but there are no 
closets or chests of drawers to store the children's clothing. Mary has 
her own bedroom and Johnny and Jonathan share a bedroom with two small 
beds. Ms. Brown has her own bedroom. The home has safety devices installed 
(window guards, fire and carbon monoxide alarms).  Ms. White, Sandy's 
mother came to the office today for a supervised visit. Mother looked 
somewhat disheveled; her hair was uncombed, her clothes were heavily 
soiled and she smelled of alcohol. Caseworker asked mother if she had been 
drinking. Mother said she had just had a beer. Sandy took a while to warm 
up to her mother. Mother brought a packet of potato chips for Sandy. Sandy 
took the chips after much prodding from Ms. Jones but returned to snuggle 
up to Ms. Jones.  Sandy disclosed to caseworker that she was fearful of 
returning home in case mother's boyfriend hurt her again. Sandy said 
mother's boyfriend often hit her for no reason.


Thanks,

Seth


On Mon, 18 Apr 2016, Kingsley Idehen wrote:


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.


Kingsley



On Mon, 18 Apr 2016, Kingsley Idehen wrote:


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 this
moment is identification and extraction of familial relationships from
documents, and preferably also of attributes associated with the
relationships, and representation of extracted relationships.

Thanks,

Seth



--
Seth Grimesgri...@altaplana.com   +1 301-270-0795@sethgrimes
Alta Plana Corp, analytics strategy consulting, http://altaplana.com
Sentiment Analysis Symposium, July 12 in NYC, SentimentSymposium.com


Hi Seth,

Are you looking for technology that would perform the following tasks?

[1] analyze a document containing a collection of English sentences
representing familial relationships
[2] extract said relationships and then convert to RDF sentences using
terms from the FOAF vocabulary
[3] return an RDF document and the final output artifact.

I've copied the LOD list in on this response to broaden audience for
this exchange.




--
Seth Grimesgri...@altaplana.com   +1 301-270-0795@sethgrimes
Alta Plana Corp, analytics strategy consulting, http://altaplana.com
Sentiment Analysis Symposium, July 12 in NYC, SentimentSymposium.com






--
Seth Grimesgri...@altaplana.com   +1 301-270-0795@sethgrimes
Alta Plana Corp, analytics strategy consulting, http://altaplana.com
Sentiment Analysis Symposium, July 12 in NYC, SentimentSymposium.com

Re: [foaf-dev] FOAF Relationship

[Kingsley Idehen]

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.


Kingsley
>
>
> On Mon, 18 Apr 2016, Kingsley Idehen wrote:
>
>> 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 this
>>> moment is identification and extraction of familial relationships from
>>> documents, and preferably also of attributes associated with the
>>> relationships, and representation of extracted relationships.
>>>
>>> Thanks,
>>>
>>> Seth
>>>
>>>
>>>
>>> -- 
>>> Seth Grimesgri...@altaplana.com   +1 301-270-0795@sethgrimes
>>> Alta Plana Corp, analytics strategy consulting, http://altaplana.com
>>> Sentiment Analysis Symposium, July 12 in NYC, SentimentSymposium.com
>>
>> Hi Seth,
>>
>> Are you looking for technology that would perform the following tasks?
>>
>> [1] analyze a document containing a collection of English sentences
>> representing familial relationships
>> [2] extract said relationships and then convert to RDF sentences using
>> terms from the FOAF vocabulary
>> [3] return an RDF document and the final output artifact.
>>
>> I've copied the LOD list in on this response to broaden audience for
>> this exchange.
>>
>>
>
> -- 
> Seth Grimesgri...@altaplana.com   +1 301-270-0795@sethgrimes
> Alta Plana Corp, analytics strategy consulting, http://altaplana.com
> Sentiment Analysis Symposium, July 12 in NYC, SentimentSymposium.com


-- 
Regards,

Kingsley Idehen   
Founder & CEO 
OpenLink Software 
Company Web: http://www.openlinksw.com
Personal Weblog 1: http://kidehen.blogspot.com
Personal Weblog 2: http://www.openlinksw.com/blog/~kidehen
Twitter Profile: https://twitter.com/kidehen
Google+ Profile: https://plus.google.com/+KingsleyIdehen/about
LinkedIn Profile: http://www.linkedin.com/in/kidehen
Personal WebID: http://kingsley.idehen.net/dataspace/person/kidehen#this




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Description: S/MIME Cryptographic Signature

Re: [foaf-dev] FOAF Relationship

[Kingsley Idehen]

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 this
> moment is identification and extraction of familial relationships from
> documents, and preferably also of attributes associated with the
> relationships, and representation of extracted relationships.
>
> Thanks,
>
> Seth
>
>
>
> -- 
> Seth Grimesgri...@altaplana.com   +1 301-270-0795@sethgrimes
> Alta Plana Corp, analytics strategy consulting, http://altaplana.com
> Sentiment Analysis Symposium, July 12 in NYC, SentimentSymposium.com

Hi Seth,

Are you looking for technology that would perform the following tasks?

[1] analyze a document containing a collection of English sentences
representing familial relationships
[2] extract said relationships and then convert to RDF sentences using
terms from the FOAF vocabulary
[3] return an RDF document and the final output artifact.

I've copied the LOD list in on this response to broaden audience for
this exchange.

-- 
Regards,

Kingsley Idehen   
Founder & CEO 
OpenLink Software 
Company Web: http://www.openlinksw.com
Personal Weblog 1: http://kidehen.blogspot.com
Personal Weblog 2: http://www.openlinksw.com/blog/~kidehen
Twitter Profile: https://twitter.com/kidehen
Google+ Profile: https://plus.google.com/+KingsleyIdehen/about
LinkedIn Profile: http://www.linkedin.com/in/kidehen
Personal WebID: http://kingsley.idehen.net/dataspace/person/kidehen#this




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Description: S/MIME Cryptographic Signature