map_metrics.py 文件源码

python
阅读 16 收藏 0 点赞 0 评论 0

项目:rap-etl 作者: RAP-research-output-impact 项目源码 文件源码
def org_total_cites(orgs):
    g = Graph()
    for org_name in orgs:
        org_uri = waan_uri(org_name)
        #print>>sys.stderr, "Processing", org_name, "total cites"
        ln = local_name(org_uri)
        tc = load_incites_json_file(org_name, 'cites')
        for item in tc:
            curi = D['citecount-' + ln + '-' + str(item['year'])]
            g.add((curi, RDF.type, WOS.InCitesCitesPerYear))
            g.add((curi, RDFS.label, Literal("{} - {}".format(item['year'], item['count']))))
            g.add((curi, WOS.number, Literal(item['count'])))
            g.add((curi, WOS.year, Literal(item['year'])))
            g.add((org_uri, VIVO.relates, curi))


    #print g.serialize(format="turtle")
    ng = "http://localhost/data/incites-total-cites-year-counts"
    backend.sync_updates(ng, g)
    return True
评论列表
文章目录


问题


面经


文章

微信
公众号

扫码关注公众号