全部文献期刊会议图书|学者科研项目
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作者:Xin Hu , Jiangli Duan , Depeng Dang
来源:[J].Future Generation Computer Systems(IF 1.864), 2020, Vol.107, pp.588-600
摘要:Abstract(#br)Existing keyword query systems over knowledge graphs are easy to use and can produce interesting results. However, they cannot address even simple aggregate queries (i.e., a query that needs statistics such as COUNT, SUM, AVG, MAX, MIN, >, < and =), and the sizes of ...
作者:Richong Zhang , Yongyi Mao , Weihua Zhao
来源:[J].Information Sciences(IF 3.643), 2020, Vol.521, pp.144-159
摘要:Abstract(#br)Constructing large-scale knowledge base has encountered a bottleneck because of the limitation of natural language processing. Many approaches have been put forward to infer new facts based on existing knowledge. Graph feature models mine rule-like patterns from a knowledge...
作者:Rita T. Sousa , Sara Silva , Catia Pesquita
来源:[J].BMC Bioinformatics(IF 3.024), 2020, Vol.21 (3), pp.907-28Springer
摘要:Abstract(#br)Background(#br)In recent years, biomedical ontologies have become important for describing existing biological knowledge in the form of knowledge graphs. Data mining approaches that work with knowledge graphs have been proposed, but they are based on vector represent...
作者:Shengtian Sang , Zhihao Yang , Lei Wang ...
来源:[J].BMC Bioinformatics(IF 3.024), 2018, Vol.19 (1), pp.1-11DOAJ
摘要:... Methods Here, we propose a biomedical knowledge graph-based drug discovery method called SemaTyP, which discovers candidate drugs for diseases by mining published biomedical literature. We first construct a biomedical knowledge graph with the relations extracted from biome...
作者:Haoze Yu , Haisheng Li , Dianhui Mao ...
来源:[J].World Wide Web: Internet and Web Information Systems(IF 1.196), 2020, Vol.23 (1), pp.735-753Springer
摘要:Abstract(#br)As a semantic knowledge base, knowledge graph is a powerful tool for managing large-scale knowledge consists with instances, concepts and relationships between them. In view that the existing domain knowledge graphs can not obtain relationships in various structures ...
作者:Jinjing Huang , Wei Chen , An Liu ...
来源:[J].World Wide Web: Internet and Web Information Systems(IF 1.196), 2020, Vol.23 (10), pp.755-779Springer
摘要:Abstract(#br)A temporal knowledge graph (TKG) is theoretically a temporal graph. Recently, systems have been developed to support snapshot queries over temporal graphs. However, snapshot queries can only give separate answers. To retrieve forward-backward correlation facts from t...
作者:Ruqian LU , Chaoqun FEI , Chuanqing WANG ...
来源:[J].Information Sciences(IF 3.643), 2020, Vol.509, pp.87-103Elsevier
摘要:Abstract(#br)Heaven Ape (HAPE) is an integrated big knowledge graph platform supporting the construction, management, and operation of large to massive scale knowledge graphs. Its current version described in this paper is a prototype, which consists of three parts: a big knowledge graph...
作者:Bo Qiao , Kui Fang , Yiming Chen ...
来源:[J].Cluster Computing(IF 0.776), 2017, Vol.20 (1), pp.81-91Springer
摘要:Google proposed the concept of knowledge graph to improve the quality of searching results in 2012, so the knowledge graph brought a hot topic in the field of academic and industry. The knowledge graph can effectively improve the searching quality and the accuracy of Q & A system...
作者:Xiaoming Zhang , Xin Liu , Xin Li ...
来源:[J].Computer Physics Communications(IF 3.078), 2017, Vol.211, pp.98-112Elsevier
摘要:Abstract(#br)The research and development of metallic materials are playing an important role in today’s society, and in the meanwhile lots of metallic materials knowledge is generated and available on the Web (e.g., Wikipedia) for materials experts. However, due to the diver...
作者:Daqian Shi , Ting Wang , Hao Xing ...
来源:[J].Knowledge-Based Systems(IF 4.104), 2020Elsevier
摘要:... Currently, knowledge-graph-based learning path recommendation algorithms are attracting the attention of researchers in this field. However, these methods only connect learning objects using single relationships, which cannot generate diverse learning paths to satisfy di...

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