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https://issues.apache.org/jira/browse/STANBOL-1121?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Rupert Westenthaler updated STANBOL-1121:
-----------------------------------------
Description:
Functionality
=========
Develop an Enhancement Engine which would construct a formal knowledge
representation from natural language text. The knowledge extracted from the
text would be in the form of Triples (Subject-Verb-Object). This Enhancement
Engine will be mainly concerned with representation of real-world events.
Example :
We have the text "Google buys Youtube". Google=Subject, buys=verb,
Youtube=object.
Implementation
===========
Triple Extraction
-----------------------
The following will be applied on the natural language text in order to extract
the triples:
+ Named entity extraction
+ Co-reference resolution of those named entites
+ POS Tagging or dependency trees to figure out what verbs and object are in
conjunction to the named entities.
Based on the last step we would have the set of triples.
Formal representation of triples
---------------------------------------------
The formal representation of the triples will be based on the DOLCE
foundational ontology. We will have the following data structures :
* fise:SettingAnnotation
* {fise:Enhancement} metadata
describes the context of the data
* fise:ParticipantAnnotation
* {fise:Enhancement} metadata
* fise:inSetting {settingAnnotation}
* fise:hasMention {textAnnotation}
* fise:suggestion {entityAnnotation} (multiple if there are more
suggestions)
* dc:type one of fise:Agent, fise:Patient, fise:Instrument, fise:Cause
describes the participants from the context. In our example these would be
"Google" and "Youtube". In Dolce ontology these would be the Endurants.
* fise:OccurrentAnnotation
* {fise:Enhancement} metadata
* fise:inSetting {settingAnnotation}
* fise:hasMention {textAnnotation}
* dc:type set to fise:Activity
*??:hasRelations (describes the particpants linked to this occurent - TBD)
describes the action made by the participants. In our example this would be
"buys". In Dolce ontology this would be the Perdurant.
For further information see also the Mail Thread related to this Issue:
http://markmail.org/message/qed6y5avbymvmmgu
was:
Functionality
=========
Develop an Enhancement Engine which would construct a formal knowledge
representation from natural language text. The knowledge extracted from the
text would be in the form of Triples (Subject-Verb-Object). This Enhancement
Engine will be mainly concerned with representation of real-world events.
Example :
We have the text "Google buys Youtube". Google=Subject, buys=verb,
Youtube=object.
Implementation
===========
Triple Extraction
-----------------------
The following will be applied on the natural language text in order to extract
the triples:
+ Named entity extraction
+ Co-reference resolution of those named entites
+ POS Tagging or dependency trees to figure out what verbs and object are in
conjunction to the named entities.
Based on the last step we would have the set of triples.
Formal representation of triples
---------------------------------------------
The formal representation of the triples will be based on the DOLCE
foundational ontology. We will have the following data structures :
* fise:SettingAnnotation
* {fise:Enhancement} metadata
describes the context of the data
* fise:ParticipantAnnotation
* {fise:Enhancement} metadata
* fise:inSetting {settingAnnotation}
* fise:hasMention {textAnnotation}
* fise:suggestion {entityAnnotation} (multiple if there are more
suggestions)
* dc:type one of fise:Agent, fise:Patient, fise:Instrument, fise:Cause
describes the participants from the context. In our example these would be
"Google" and "Youtube". In Dolce ontology these would be the Endurants.
* fise:OccurrentAnnotation
* {fise:Enhancement} metadata
* fise:inSetting {settingAnnotation}
* fise:hasMention {textAnnotation}
* dc:type set to fise:Activity
*??:hasRelations (describes the particpants linked to this occurent - TBD)
describes the action made by the participants. In our example this would be
"buys". In Dolce ontology this would be the Perdurant.
> Event extraction Enhancement Engine
> -----------------------------------
>
> Key: STANBOL-1121
> URL: https://issues.apache.org/jira/browse/STANBOL-1121
> Project: Stanbol
> Issue Type: New Feature
> Components: Enhancement Engines
> Reporter: Cristian Petroaca
> Assignee: Rupert Westenthaler
> Labels: extraction, triple
>
> Functionality
> =========
> Develop an Enhancement Engine which would construct a formal knowledge
> representation from natural language text. The knowledge extracted from the
> text would be in the form of Triples (Subject-Verb-Object). This Enhancement
> Engine will be mainly concerned with representation of real-world events.
> Example :
> We have the text "Google buys Youtube". Google=Subject, buys=verb,
> Youtube=object.
> Implementation
> ===========
> Triple Extraction
> -----------------------
> The following will be applied on the natural language text in order to
> extract the triples:
> + Named entity extraction
> + Co-reference resolution of those named entites
> + POS Tagging or dependency trees to figure out what verbs and object are in
> conjunction to the named entities.
> Based on the last step we would have the set of triples.
> Formal representation of triples
> ---------------------------------------------
> The formal representation of the triples will be based on the DOLCE
> foundational ontology. We will have the following data structures :
> * fise:SettingAnnotation
> * {fise:Enhancement} metadata
> describes the context of the data
> * fise:ParticipantAnnotation
> * {fise:Enhancement} metadata
> * fise:inSetting {settingAnnotation}
> * fise:hasMention {textAnnotation}
> * fise:suggestion {entityAnnotation} (multiple if there are more
> suggestions)
> * dc:type one of fise:Agent, fise:Patient, fise:Instrument, fise:Cause
> describes the participants from the context. In our example these would be
> "Google" and "Youtube". In Dolce ontology these would be the Endurants.
> * fise:OccurrentAnnotation
> * {fise:Enhancement} metadata
> * fise:inSetting {settingAnnotation}
> * fise:hasMention {textAnnotation}
> * dc:type set to fise:Activity
> *??:hasRelations (describes the particpants linked to this occurent - TBD)
> describes the action made by the participants. In our example this would be
> "buys". In Dolce ontology this would be the Perdurant.
> For further information see also the Mail Thread related to this Issue:
> http://markmail.org/message/qed6y5avbymvmmgu
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