Use an Ontology model to parse unstructured text
This is the root level method.
The input parameters and return values have well-described data types.
def owl_parser(tokens: list,
ontology_name: str,
absolute_path: str) -> list:
Enforcer.is_list_of_dicts(tokens)
Enforcer.is_str(ontology_name)
FileIO.exists_or_error(absolute_path)
from owl_finder.multiquery.bp import FindOntologyData
from owl_parser.bp import MutatoAPI
finder = FindOntologyData(ontologies=[ontology_name],
absolute_path=absolute_path)
results = MutatoAPI(finder).swap(tokens)
Enforcer.is_list_of_dicts(results)
return results
from owl_parser import owl_parser
results = owl_parser(
tokens,
ontology_name="<ontology-name>",
absolute_path="<absolute-path>")
FAQs
Parse Input Text using One-or-More Ontology (OWL) files
We found that owl-parser demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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