Metadata-Version: 2.1
Name: easysparql
Version: 1.5.2
Summary: A python wrapper to easily query knowledge graphs with SPARQL
Home-page: https://github.com/oeg-upm/easysparql
Author: Ahmad Alobaid
Author-email: aalobaid@fi.upm.es
License: UNKNOWN
Description: # easysparql
        A python wrapper to easily query knowledge graphs with SPARQL
        
        
        [![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)
        
        
        # Install
        
        ## via setuptools
        ```python setup.py ```
        
        ## via pip
        ```pip install easysparql```
        
        ## Run tests
        ```python -m unittest discover```
        
        
        # Functions
        * `run_query`: run a sparql query.
        * `get_entities`: get candidate entities of the given name (exact match).
        * `get_classes`: get classes of a given entity.
        * `get_parents_of_class`: get direct parent classes of a given class.
        * `get_subjects`: Get the number of subjects of a given class.
        * `get_properties_of_subject`: Get the properties of a given subject.
        * `get_numerics_from_list`: Get the numbers from a list of strings and numbers (if they are more that the provided percentage).
        * `get_num`: Get the number of a given number/string or None (if it was not a number).
        
        
        # Example
        ```
        from easysparql import easysparql
        
        DBPEDIA_ENDPOINT = "https://dbpedia.org/sparql"
        
        albert_uri = "http://dbpedia.org/resource/Albert_Einstein"
        albert_name = "Albert Einstein"
        scientist = "http://dbpedia.org/ontology/Scientist"
        foaf_name = "http://xmlns.com/foaf/0.1/name"
        
        
        classes = easysparql.get_classes(albert_uri, DBPEDIA_ENDPOINT)
        
        entities = easysparql.get_entities(albert_name, DBPEDIA_ENDPOINT, "@en")
        
        parents = easysparql.get_parents_of_class(scientist, DBPEDIA_ENDPOINT)
        
        query = "select distinct ?Concept where {[] a ?Concept} LIMIT 100"
        results = easysparql.run_query(query, DBPEDIA_ENDPOINT)
        
        subjects = easysparql.get_subjects(class_uri=scientist, endpoint=DBPEDIA_ENDPOINT)
        
        properties = easysparql.get_properties_of_subject(subject_uri=albert_uri, endpoint=DBPEDIA_ENDPOINT)
        
        a =  ["1.2","2","4","3",3,6,"a","b", "ccc", "1jasdf"]
        nums = easysparql.get_numerics_from_list(a, 0.5)
        
        ```
        
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
