PyTrips 
PyTrips provides a python interface to interacting with the TRIPS ontology and parser.
Installation
pip install pytrips
pip install pytrips[tools] # optional
python -c "import nltk; nltk.download('wordnet')"
Basic Usage
Load the ontology and retrieve a type by name:
from pytrips.ontology import load
ont = load()
catch = ont["catch"] # lookup an ontology type
And then inspect said type:
print(catch)
print(catch.parent)
print(catch.children)
print(catch.arguments)
which should result in:
# ont::catch
# ont::co-motion
# []
# [<TripsRestriction :neutral >, <TripsRestriction :source >, <TripsRestriction :result >, <TripsRestriction :extent >, <TripsRestriction :affected >, <TripsRestriction :agent >]
Check if types subsume each other:
catch < ont["event-of-action"]
# Make sure at least one type is explicitly a TripsType. The other can be a string.
"food" > ont["bread"]
Or get the lowest common subsumer of two types:
ont["bread"] ^ ont["geo-object"]
For simplicity, lookup words and ontology types in the same way:
ont["person"] # default is to look up an ontology type
ont["ont::person"] # explicitly get the ontology type named "ont::person"
ont["w::person"] # or lookup the list of ontology types that the word "person" can map to
WordNet lookups are similar:
ont["wn::cat%1:06:00::"]
>> [ont::device]
ont["q::cat"] # returns all lexical and wordnet mappings for the word cat in a dictionary
>> {'lex': [ont::nonhuman-animal, ont::medical-diagnostic],
'wn': [ont::pharmacologic-substance,
ont::female-person,
ont::communication-party,
ont::male-person,
ont::medication,
ont::mammal,
ont::device,
ont::land-vehicle,
ont::vomit]}
Or we can specify a part of speech to limit the search:
ont[("q::move", 'v')]
>> {'lex': [ont::cause-move, ont::move, ont::provoke, ont::activity-ongoing],
'wn': [ont::cause-effect,
ont::change,
ont::believe,
ont::activity-event,
ont::commerce-sell,
ont::move,
ont::progress,
ont::live,
ont::suggest]}
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