CSpace
HAPE: A programmable big knowledge graph platform
Lu, Ruqian1,2,3,4; Fei, Chaoqun1,2,5; Wang, Chuanqing3,4,5; Gao, Shunfeng1,2,6; Qiu, Han7; Zhang, Songmao3,4; Cao, Cungen1,2
2020
Source PublicationINFORMATION SCIENCES
ISSN0020-0255
Volume509Pages:87-103
AbstractHeaven 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 knowledge base, a knowledge graph browser on the client side, and a knowledge graph operating system on the server side. The platform is programmed in two high level scripting languages: JavaScript for programming the client side functions and Python for the server side functions. For making the programming more suitable for big knowledge processing and more friendly to knowledge programmers, we have developed two versions of knowledge scripting languages, namely K-script-c and K-script-s, for performing very high level knowledge programming of client resp. server side functions. HAPE borrows ideas from some well-known knowledge graph processing techniques and also invents some new ones as our creation. As an experiment, we transformed a major part of the DBpedia knowledge base and reconstructed it as a big knowledge graph. It works well in some application tests and provides acceptable efficiency. (C) 2019 Elsevier Inc. All rights reserved.
KeywordBig knowledge Big knowledge system Big knowledge graph Knowledge graph browser Knowledge graph operating system Knowledge scripting language Big knowledge security
DOI10.1016/j.ins.2019.08.051
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2016YFB1000902] ; National Natural Science Foundation of China[61232015] ; National Natural Science Foundation of China[61472412] ; National Natural Science Foundation of China[61621003] ; Tsinghua-Tencent-AMSS Joint Project: WWW Knowledge Structure and its Application
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000494883700006
PublisherELSEVIER SCIENCE INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/50730
Collection中国科学院数学与系统科学研究院
Corresponding AuthorLu, Ruqian
Affiliation1.Chinese Acad Sci, ICT, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Key Lab IIP, Beijing 100190, Peoples R China
3.Chinese Acad Sci, AMSS, Beijing 100190, Peoples R China
4.Chinese Acad Sci, Key Lab MADIS, Beijing 100190, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100190, Peoples R China
6.Jiangsu Univ Sci & Technol, Zhenjiang 210003, Jiangsu, Peoples R China
7.Telecom Paris, F-75013 Paris, France
Recommended Citation
GB/T 7714
Lu, Ruqian,Fei, Chaoqun,Wang, Chuanqing,et al. HAPE: A programmable big knowledge graph platform[J]. INFORMATION SCIENCES,2020,509:87-103.
APA Lu, Ruqian.,Fei, Chaoqun.,Wang, Chuanqing.,Gao, Shunfeng.,Qiu, Han.,...&Cao, Cungen.(2020).HAPE: A programmable big knowledge graph platform.INFORMATION SCIENCES,509,87-103.
MLA Lu, Ruqian,et al."HAPE: A programmable big knowledge graph platform".INFORMATION SCIENCES 509(2020):87-103.
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