![]() ![]() No sooner has Ling expressed her deep fear of not becoming successful enough to make her mother proud than Ying is fatally injured in a road accident that miraculously leaves Ling unscathed. Surrounded by relatives obsessed with personal wealth, career opportunities and luxury goods, Ling’s painfully aware that such things were out of reach for her mother, Ying (Liu Jia), when she was young and China’s economic reforms had only just begun. Slightly awkward and immediately likable, Ling narrates her story as it begins in 2001. Now 38, Jia plays the autobiographical role of daughter Ling with such sincerity and enthusiasm it hardly matters that she’s twice the character’s age. : OpenAlex integration in dblp įor more than 12 years, the Microsoft Academic Search, later renamed to just Microsoft Academic and eventually to Microsoft Academic Graph (MAG), had been the software giant’s scholarly bibliographic information service.Expanded from a popular TV comedy sketch Jia performed in 2016, “Hi, Mom” is based on memories of her mother, who passed away when Jia was 19. We are pleased to see that the community is interested in using our semantic data in their research and beyond. In the six months since the release of the dblp RDF dump and its persistent snapshot releases, the RDF dump has been downloaded a total of about a thousand times. The consortium will be funded in the double-digit millions of Euros and over a duration of five ![]() ![]() On November 4, 2022, the Joint Science Conference (GWK) selected Schloss Dagstuhl – Leibniz Center for Informatics and the consortium NFDIxCS for federal and state funding within the German National Research Data Infrastructure (NFDI). : Building the German Research Data Infrastructure NFDI – for and with Computer Science Currently, the dblp team is involved in three of them: NFDI4DataScience, NFDIxCS, and Unknown Data. Many ongoing projects focus on improving the standardization, publication and citation of these artifacts. : Dataset publications in dblp ĭatasets and other research artifacts are a major topic in the scientific community in the recent years. A quick reminder: you can download the dblp dataset as a single XML ![]() As a preparation for more and more detailed datasets we slightly modify the DTD that defines the structure of our XML data export. (updated ) A few days ago, we discussed the new dataset publications in dblp. ![]()
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