Building a Knowledge graph of covid19 on neo4j, from the data of Wikipedia data, Wikidata, by SPARQL querying

If you are working on similar projects, I am happy to help. Contact me by [email protected]

wget http://neo4j.com/artifact.php?name=neo4j-community-3.5.12-unix.tar.gz
tar -xf 'artifact.php?name=neo4j-community-3.5.12-unix.tar.gz'
cd neo4j-community-3.5.12
bin/neo4j start

go to url

http://localhost:7474/

bolt://localhost:7687
user name:neo4j
password neo4j

reset new password to

neo4j1

pip3 install pyspark
pip3 install neo4j

git clone https://github.com/gaoyuanliang/covid19_knowledge_graph.git
cd covid19_knowledge_graph

collect the entities and relationships of covid 19 from wikibase by SPARQL queries at https://query.wikidata.org/

SELECT ?s ?sLabel ?sAltLabel ?st ?stLabel 
?rp ?rpLabel 
?o ?oLabel ?oAltLabel ?ot ?otLabel 
WHERE
{
?s wdt:P361 wd:Q83741704 .
?s ?r ?o .
?s wdt:P31 ?st .
?o wdt:P31 ?ot .
?rp wikibase:directClaim ?r . 
SERVICE wikibase:label { bd:serviceParam wikibase:language "en" }
}

SELECT ?s ?sLabel ?sAltLabel ?st ?stLabel 
?rp ?rpLabel 
?o ?oLabel ?oAltLabel ?ot ?otLabel 
WHERE
{
?o wdt:P361 wd:Q83741704 .
?s ?r ?o .
?s wdt:P31 ?st .
?o wdt:P31 ?ot .
?rp wikibase:directClaim ?r . 
SERVICE wikibase:label { bd:serviceParam wikibase:language "en" }
}

python3 jessica_covid_knowledge_graph.py

go to http://localhost:7474/ to see the results

ongoing

• building the function to link the news texts to the entities of the covid knowledge graph, by using the open source code of https://github.com/wikilinks/nel/blob/master/notebooks/train.ipynb

• building the dashboards of the covid events, with map, time, and other attributs

• building a local Standalone SPARQL search service to speed up the query process https://www.mediawiki.org/wiki/Wikidata_Query_Service/User_Manual#Standalone_service

I am actively looking for a data science/AI related job. If you have such an opportunity, thank you so much for contacting me. I am ready for an interview at any time. My email is [email protected]