Scholars and their academic information are widely distributed on the Web. Integrating these information and making association between them can play a catalytic role in academic evaluation and research. Since 2008, Web and Mobile Data Management Laboratory (WAMDM) in Renmin University of China began to collect Chinese literatures in more than 20 academic domains, and build a data integration system called ScholarSpace to automatically integrate the relevant chinese academic information from the chinese scholars and science. Focusing on the chinese scholars, ScholarSpace can give you an academic portrait about a chinese scholar with the form of knowledge graph. So the ScholarSpace can be tranformed into a knowledge graph called ScholarGraph. It includes the scholar information such as the affiliation, publications, teacher-student relationship, etc. ScholarGraph is a subset of the whole knowledge graph generated from the ScholarSpace and is published on the web page of WAMDM. ScholarGraph consists of more than 10,000,000 triples, including more than 9,000,000 entities and 6 relations. It can support the search and query about portrait of Chinese scholars and other relevant applications.
@InProceedings{WANG18.144, author = {Shuo Wang and Zehui Hao and Xiaofeng Meng and Qiuyue Wang}, title = "{ScholarGraph:a Chinese Knowledge Graph of Chinese Scholars}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
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