Welcome to Data Intelligence!
AMiner: Search and Mining of Academic Social Networks
Authors: Huaiyu Wan, Yutao Zhang, Jing Zhang et al.
Institution:Beijing Jiaotong University
Keywords:Academic social networks;Profile extraction;Name disambiguation;Topic modeling;Expertise Search;Network mining
Issue 1: 58-76, 2018 | PDF

Published: June 20, 2018
Abstract: AMiner is a novel online academic search and mining system, and it aims to provide a systematic modeling approach to help researchers and scientists gain a deeper understanding of the large and het...
FAIR Science for Social Machines: Let's Share Metadata Knowlets in the Internet of FAIR Data and Services
Authors: Barend Mons
Institution:Leiden University Medical Centre, The Netherlands
Keywords:FAIR science;Semantic publication;Metadata;Knowlets;FAIR principles
Issue 1: 22-42, 2018 | PDF

Published: May 11, 2018
Abstract: In a world awash with fragmented data and tools, the notion of Open Science has been gaining a lot of momentum, but simultaneously, it caused a great deal of anxiety. Some of the anxiety may be rel...
Introducing the Editor-in-Chief Committee of Data Intelligence
Authors: Fenghong
Institution:Data Intelligence Editorial Committee
Keywords:Editor-in-Chief Committee, Data Intelligence
Issue 1: 1, 2018 | PDF

Published: Sept. 26, 2017
Abstract: Welcome to the Data Intelligence Journal! We would like to introduce the Editor-in-Chief Committee.
XLORE2: Large-scale Cross-lingual Knowledge Graph Construction and Application
Authors: Hailong Jin, Chengjiang Li, Jing Zhang et al.
Institution:Tsinghua University
Keywords:Knowledge base completion;Knowledge linking;Property matching;Taxonomy alignment;Type inference;Entity linking
Issue 1: 77-98, 2018 | PDF

Abstract: Knowledge bases (KBs) are often greatly incomplete, necessitating a demand for KB completion. Although XLORE is an English-Chinese bilingual knowledge graph, there are only 423,974 cross-lingual li...
From Persistent Identifiers to Digital Objects to Make Data Science More Efficient
Authors: Peter Wittenburg
Institution:Max Planck Computing and Data Facility
Keywords:Big data; Data management; Persistent identifiers; Digital objects; Data infrastructure; Data intensive science
Issue 1: 6-21, 2018 | PDF

Abstract: Data-intensive science is reality in large scientific organizations such as the Max Planck Society, but due to the inefficiency of our data practices when it comes to integrating data from differen...
Sustainability in Data and Food
Authors: Dean Allemang
Institution:Working Ontologist, LLC., 55 W Livingston Avenue, Columbus, OH 43215, USA
Keywords:Agriculture; Data science; Data sharing; Sustainability; Vocabulary management
Issue 1: 43-57, 2018 | PDF

Abstract: As the world population continues to increase, world food production is not keeping up. This means that to continue to feed the world, we will need to optimize the production and utilization of foo...
Editorial: A Journal for Human and Machine
Authors: Jim Hendler, Ying Ding, Barend Mons
Issue 1: 1-5, 2018 | PDF