def main():
data = load_csv("dco-dois.csv")
data.pop(0)
crossref = CrossRefClient()
with WebOfScienceClient() as web_of_science:
for (uri, title, doi) in data:
keywords = set()
keywords |= set(web_of_science.get_keywords_by_doi(doi))
keywords |= set(crossref.get_publication(doi).keywords)
keywords = set([keyword.lower() for keyword in keywords])
for keyword in keywords:
process_keyword(uri=uri, keyword=keyword)
graph = build_rdf()
with open("pub.ttl", "w") as out:
out.write(graph.serialize(format='n3', encoding="UTF-8").decode(encoding="UTF-8"))
def main():
data = load_csv("dco-dois.csv")
data.pop(0)
crossref = CrossRefClient()
with WebOfScienceClient() as web_of_science:
for (uri, title, doi) in data:
keywords = set()
keywords |= set(web_of_science.get_keywords_by_doi(doi))
keywords |= set(crossref.get_publication(doi).keywords)
keywords = set([keyword.lower() for keyword in keywords])
for keyword in keywords:
process_keyword(uri=uri, keyword=keyword)
graph = build_rdf()
with open("pub.ttl", "w") as out:
out.write(
graph.serialize(format='n3',
encoding="UTF-8").decode(encoding="UTF-8"))
def main():
crossref = CrossRefClient()
publications = select_publications()
out = [(pub["uri"], crossref.resolve_doi(pub["doi"])) for pub in publications]
generate_rdf(out)
def main():
crossref = CrossRefClient()
publications = select_publications()
out = [(pub["uri"], crossref.resolve_doi(pub["doi"]))
for pub in publications]
generate_rdf(out)
