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Building on the proposal outlined in #10, this issue outlines a set of categories for describing the high level type of agent that generated the statement expressed in an edge.
Below are brief definitions of 9 categories (note their hierarchical organization). Additional detail and insight re: the specific use and relevance in Translator can be found in the document here.
Manual Agent: A human agent is responsible for generating the knowledge expressed in the Statement.
Automated Agent: An automated agent is responsible for generating the Statement. Human contribution ends with the definition / and coding of algorithms or analysis pipelines executed by the computational agent.
----Data Analysis Pipeline: An automated agent programmed to execute statistical analyses on instance data generates Statements that merely report associations/correlations between variables in the data.
----Computational Model: An automated agent generates Statements (typically predictions) about the domain of discourse based on rules/logic that are encoded directly in computational algorithms (e.g. heuristic models, supervised classifiers), or rules that are learned from patterns observed in data (e.g. ML models, unsupervised classifiers).
----Text Mining Agent: An automated agent is a text-mining tool that uses NLP to recognize concepts and/or relationships in text and generate Statements about these concepts with formally encoded semantics.
Manual Validation of Automated Agent: A human agent reviews and validates/approves the veracity of a Statement that is initially made by an automated agent.
Unspecified: It cannot be determined from available information if the agent is manual or automated.
Note that these categories are complemented by the 'Knowledge Level/Type' categories in #11 We had previously considered pre-composing terms from the cross-product of (relevant) Knowledge Level and Agent Type categories (e.g. 'Manual Knowledge Assertion', 'Computational Model Prediction') - but for now are splitting these into separate properties/annotations.
As we recommended for Knowledge Level tags, we would advocate for Agent Type tags to be REQUIRED on all Edges.
Examples of their application to real Translator scenarios/use cases can be found in the document here.
The text was updated successfully, but these errors were encountered:
Building on the proposal outlined in #10, this issue outlines a set of categories for describing the high level type of agent that generated the statement expressed in an edge.
Below are brief definitions of 9 categories (note their hierarchical organization). Additional detail and insight re: the specific use and relevance in Translator can be found in the document here.
Note that these categories are complemented by the 'Knowledge Level/Type' categories in #11 We had previously considered pre-composing terms from the cross-product of (relevant) Knowledge Level and Agent Type categories (e.g. 'Manual Knowledge Assertion', 'Computational Model Prediction') - but for now are splitting these into separate properties/annotations.
As we recommended for Knowledge Level tags, we would advocate for Agent Type tags to be REQUIRED on all Edges.
Examples of their application to real Translator scenarios/use cases can be found in the document here.
The text was updated successfully, but these errors were encountered: