Knowledge Integration Framework

KIF is a knowledge integration framework from IBM Research.

It is based on Wikidata and licensed under the Apache-2.0 license.

First time here? Check out the quickstart guide.

Highlights

• KIF is an interface to query knowledge sources as if they were Wikidata.

• KIF queries are written as simple, high-level filters using entities of the Wikidata data model.

• KIF can be used to query Wikidata itself or other knowledge sources, provided proper mappings are given.

• KIF comes with built-in mappings for DBpedia and PubChem RDF. Other mappings can be added programmatically.

• KIF has full support for asyncio. KIF async API can be used run queries asynchronously, without blocking waiting for their results.

Installation

Latest release:

$ pip install kif-lib

Development version:

$ pip install kif-lib@git+https://github.com/IBM/kif.git

Documentation

See documentation and examples.

Hello world!

---

(1)

Gets from Wikidata all statements with property shares border with (P47) and value Brazil (Q155).

Using the kif command-line utility:

kif filter -s wdqs --property=wd.shares_border_with --value='wd.Q(155)'

(Statement (Item Argentina) (ValueSnak (Property shares border with) (Item Brazil)))
(Statement (Item Peru) (ValueSnak (Property shares border with) (Item Brazil)))
(Statement (Item Paraguay) (ValueSnak (Property shares border with) (Item Brazil)))
⋮

Using the KIF API:

from kif_lib import *               # import the KIF namespace
from kif_lib.vocabulary import wd   # import the Wikidata vocabulary module

# Create a SPARQL store loaded with Wikidata mappings and optimized for WDQS.
kb = Store('wdqs', 'https://query.wikidata.org/sparql')

# Filter all statements with the given property and value.
for stmt in kb.filter(property=wd.shares_border_with, value=wd.Q(155)):
    print(stmt)

---

(2)

Gets from Wikidata and PubChem RDF the IRI and molecular mass of all chemicals whose formula is H₂O.

Using the kif command-line utility:

$ kif filter -s wdqs -s pubchem-sparql --select sv --subject='wd.chemical_formula("H₂O")' --property=wd.mass

(Item hydrogen tritium oxide) (Quantity 20.01878893 (Item dalton))
(Item oxygen-15 atom) (Quantity 17.0187 (Item dalton))
(Item diprotium oxide) (Quantity 18.010564684 (Item dalton))
⋮

Using the KIF API:

# Create a mixer store combining:
# • wdqs: A SPARQL store loaded with Wikidata mappings optimized for WDQS.
# • pubchem-sparql: A SPARQL store loaded with PubChem RDF mappings.

kb = Store('mixer', [
    Store('wdqs', 'https://query.wikidata.org/sparql'),
    Store('pubchem-sparql', 'https://qlever.cs.uni-freiburg.de/api/pubchem')])

# Filter the subject and value (sv) of all statements where:
# • subject has chemical formula (P274) H₂O.
# • property is mass (P2067).

it = kb.filter_sv(subject=wd.chemical_formula('H₂O'), property=wd.mass)
for chem, mass in it:
    print(chem, mass)

Citation

Guilherme Lima, João M. B. Rodrigues, Marcelo Machado, Elton Soares, Sandro R. Fiorini, Raphael Thiago, Leonardo G. Azevedo, Viviane T. da Silva, Renato Cerqueira. "KIF: A Wikidata-Based Framework for Integrating Heterogeneous Knowledge Sources", arXiv:2403.10304, 2024.

License

Released under the Apache-2.0 license.