RDFlib OWL TIME Functions

This Python package implements functions to ascertain the temporal relations of objects in RDF graphs.

This package invents SPARQL functions that are based on logic provided in OWL TIME and are named similarly to TIME's Temporal Entity's predicates, for example, the function isBefore() correlates to time:before, i.e. isBefore(a, b) will test to see if time:before should be applied between object a & b.

The functions are made available as functions in RDFlib's SPARQL implementation where they can be called by IRI, e.g. isBefore(a, b) is called tfun:isBefore(?a, ?b). All functions are posed as questions, "is before", and return an RDF literal true or false.

Installation

Normal installation e.g. from PyPI: pip install timefuncs.

This package's only dependency is RDFlib.

Use

These functions are implemented in RDFlib Python in the file timefuncts/funcs.py and are imported into timefuncs/__init__.py and registered there in RDFlib as SPARQL extension functions with their IRIs.

This means they can be used like this (full working script):

from rdflib import Graph
from timefuncs import TFUN

data = """
    PREFIX : <http://example.com/>
    PREFIX time: <http://www.w3.org/2006/time#>    
    
    :a01 time:before :b01 . 
    
    :a02 time:after :b02 .
    """

g = Graph().parse(data=data)

q = """
    SELECT *
    WHERE {
        ?x ?p ?y .
        FILTER tfun:isBefore(?x, ?y)
    }
    """
for r in g.query(q, initNs={"tfun": TFUN}):
    print(f"{r['x']} is before {r['y']}")

# prints: http://example.com/a01 is before http://example.com/b0

Functions

These functions are implemented as SPARQL extension functions with the namespace https://w3id.org/timefuncs/, e.g. isBefore()'s full IRI is https://w3id.org/timefuncs/isBefore.

Functions implemented so far, and their corresponding TIME relations:

• tfun:contains()
  • time:intervalBefore
• tfun:hasDuring()
  • alias for contains()
• tfun:hasInside()
  • time:intervalBefore
• tfun:isAfter()
  • time:after
• tfun:isBefore()
  • time:before
• tfun:isContainedBy()
  • time:intervalBefore
• tfun:isDuring()
  • alias for isContainedBy()
• tfun:isInside()
  • time:inside

These functions are yet to be implemented:

• tfun:isDisjoint()
  • time:intervalDisjoint
• tfun:isIn()
  • time:intervalIn

Implementation logic

Functions are implemented to test for every conceivable way that they may be found to be true in data. For example, isBefore(a, b) will return true if:

• the predicate time:before is given between a & b, or any chain of objects a ... n ... b
• the predicate time:after is given between b & a, or any chain of objects b ... n ... a
• any chain of time:before & time:after links a & b, all pointing in the right directions
• the end of a is declared as being before b or the start of b
  • i.e. for <a> time:hasEnd <a_end> . and <b> time:hasBeginning <b_beginning> ., isBefore(a, b) is true if <a_end> time:before <b_beginning>
• the start of b is declared as being after a or the end of a
• a can be calculated as being before b, based on their instantaneous times or start and end times
  • i.e. for <a> time:inXSDDateTimeStamp <a_xsd> . and <b> time:inXSDDateTimeStamp <b_xsd> . or <a> time:hasEnd/time:inXSDDateTimeStamp <a_xsd> . and <b> time:hasEnd/time:inXSDDateTimeStamp <b_xsd> ., isBefore(a, b) is true if <a_xsd> <b_xsd>

Testing

All tests are in tests/ and implemented using pytest.

There are individual tests for each function, e.g. tests/test_is_before.py for isBefore() as well as a test file to rn all tests againts OWL TIME's test suite): tests/test_test_suite.py.

Contributing

Via GitHub, Issues & Pull Requests:

• https://github.com/rdflib/timefuncs

License

This code is licensed with the BSD 3-clause license as per LICENSE which is the same license as used for rdflib.

Citation

@software{https://github.com/rdflib/timefuncs,
  author = {{Nicholas J. Car}},
  title = {RDFlib OWL TIME Functions},
  version = {0.0.2},
  date = {2021},
  url = {https://github.com/rdflib/timefuncs}
}

Contact

Creator & maintainer:
Nicholas J. Car
Data System Architect
SURROUND Australia Pty Ltd
nicholas.car@surroundaustrlaia.com
and
Adjunct Senior Lecturer
College of Engineering & Computer Science
Australian National University
nicholas.car@anu.edu.au

https://orcid.org/0000-0002-8742-7730