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Data Intelligence Newsletter, September 2020 Oct. 15, 2020  |  views: 151

DI Data and Facts

1. DI Citations in Web of Science

       Up to Sept. 15, the DI journal has received 39 citations according to Web of Science, 8 times more than July .


   Lead Author




Barend Mons†

FAIR Science for Social Machines: Let’s Share Metadata Knowlets in the Internet of FAIR Data and Services



Dean Allemang*

Sustainability in Data and Food



Juanzi Li*

XLORE2: Large-Scale Cross-Lingual Knowledge Graph Construction and Application



Jie Tang*

AMiner: Search and Mining of Academic Social Networks



Heng Ji

Joint Entity and Event Extraction with Generative Adversarial Imitation Learning



Xin Wayne Zhao

KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems



Huawei Shen

User Profiling for CSDN: Keyphrase Extraction, User Tagging and User Growth Value Prediction



Binyang Li

Identifying User Profile by Incorporating Self-Attention Mechanism Based on CSDN Data Set



Guohui Xiao*

Virtual Knowledge Graphs: An Overview of Systems and Use Cases



Wei Hu*

Learning to Complete Knowledge Graphs with Deep Sequential Models



Yanghua Xiao*

CN-DBpedia2: An Extraction and Verification Framework for Enriching Chinese Encyclopedia Knowledge Base



Lei Ji

Microsoft Concept Graph: Mining Semantic Concepts for Short Text Understanding


Vol.1/Iss. 4

Xiao Hu*

Toward Training and Assessing Reproducible Data Analysis in Data Science Education



Danielle Descoteaux

Playing Well on the Data FAIRground: Initiatives and Infrastructure in Research Data Management




Oya Beyan

Distributed Analytics on Sensitive Medical Data: The Personal Health Train



Larry Lannom

FAIR Data and Services in Biodiversity Science and Geoscience



Shelley Stall

Growing the FAIR Community at the Intersection of the Geosciences and Pure and Applied Chemistry



Mirjam van Reisen

Towards the Tipping Point for FAIR Implementation



Paul Groth*

FAIR Data Reuse – the Path through Data Citation


Vol.2/Iss. 3

Frank van Harmelen*

Constructing and Cleaning Identity Graphs in the LOD Cloud


Vol.2/Iss. 4

Pablo Rubén Fillottrani

KnowID: An Architecture for Efficient Knowledge-Driven Information and Data Access






Note: † indicates DI advisory board member and * indicates DI editor.


2 Most Read Articles


   Lead Author


    Read times


Qi Zhang

Knowledge Graph Construction and Applications for Web Search and Beyond



Barend Mons

FAIR Principles: Interpretations and Implementation Considerations



Barend Mons

The FAIR Principles: First Generation Implementation Choices and Challenges



3 Early Access Articles

      Rapid academic communicaton benefits the whole scientific community.We make the articles online available as soon as they are accepted and assigned a DOI.


The Open Data Challenge: An Analysis of 124,000 Data Availability Statements and an Ironic Lesson about Data Management Plans

Citation: C. Graf, D. Flanagan, L. Wylie & D. Silver. The open data challenge: An analysis of 124,000 data availability statements and an ironic lesson about data management plans. Data Intelligence 2(2020), 554–568. https://doi.org/10.1162/dint_a_00061

Lead Author: Chris Graf is Director, Research Integrity, in Wiley’s Open Research team. Chris’s responsibilities include the implementation of policies and tools at Wiley that enable researchers and journals to adopt more open, transparent practices. Chris is past co-chair of COPE, the Committee on Publication Ethics, and a program committee member for the 7th World Conference on Research Integrity.



The Semantic Data Dictionary – An Approach for Describing and Annotating Data

Citation: S.M. Rashid, J.P. McCusker, P. Pinheiro, M.P. Bax, H. Santos, J.A. Stingone, A.K. Das & D.L. McGuinness. The semantic  data dictionary – an approach for describing and annotating data. Data Intelligence 2(2020), 443–486. https://doi.org/10.1162/dint_a_00058

Lead Author:  Deborah L. McGuinness is the Tetherless World Senior Constellation Chair and Professor of Computer and Cognitive Science. She is also the founding director of the Web Science Research Center at Rensselaer Polytechnic Institute. Dr. McGuinness has been recognized with awards as a fellow of the American Association for the Advancement of Science (AAAS) for contributions to the Semantic Web, knowledge representation, and reasoning environments and as the recipient of the Robert Engelmore award from Association for the Advancement of Artificial Intelligence (AAAI) for leadership in Semantic Web research and in bridging Artificial Intelligence (AI) and eScience, significant contributions to deployed AI applications, and extensive service to the AI community.


An RDF Data Set Quality Assessment Mechanism for Decentralized Systems


Citation: Citation: L. Huang, Z. Liu, F. Xu & J. Gu. An RDF data set quality assessment mechanism for decentralized systems. Data Intelligence 2(2020), 487–511. https://doi.org/10.1162/dint_a_00059

Lead Author: Jinguang Gu is currently a professor of the College of Computer Science and Technology, Wuhan University of Science and Technology (WUST) and vice dean of Institute of Big Data Science and Engineering, WUST. His research interests include knowledge graph, semantic Web, and distributed and service computing.



KnowID: An Architecture for Efficient Knowledge-Driven Information and Data Access


Citation: P.R. Fillottrani & C.M. Keet. KnowID: An architecture for efficient knowledge-driven information and data access. Data Intelligence 2(2020). https://doi.org/10.1162/dint_a_00060

Lead Author:  Pablo Rubén Fillottrani is a Professor with the Department of Computer Science and Engineering, Universidad Nacional del Sur, Bahía Blanca, Argentina, and independent researcher at Comisión de Investigaciones Cientficas de la Provincia de Buenos Aires.




Paper Solicitation


             Possible Title

      Lead Author


Blockchain Intelligence: A New Frontier for Data Intelligence and Smart Crowd Operations

Feiyue Wang*

Institute of Automation, Chinese Academy of Sciences, China

Open KG

Huajun Chen*

Zhejiang University, China


Open Base

Haofen Wang*

Tongji University, China

Knowledge extraction or knowledge graph construction

Wei Hu*

Nanjing University, China

Data science education

Xiao Hu*

The University of Hong Kong, China

Data paper

Huaiyu Wan*

Beijing Jiaotong University

Knowledge graph construction

Tianxing Wu*

Southeast University

Industrial Applications of UFO and OntoUML

Tiago Prince Sales

Free University of Bozen-Bolzano, Italy

Conceptual modeling of legal relations

Cristine Griffo

Free University of Bozen-Bolzano, Italy

Recent advances in completeness reasoning

Nutt Werner

Free University of Bozen-Bolzano, Italy

Probabilistic Tractable Models in Mixed Discrete-Continuous Domains

Andreas Bueff

University of Edinburgh, School of Informatics, UK

Alan Turing Institute. UK

Note: * DI editor.


2 Reviewers this Month

     We’d like to thank the following editors who reviewed papers for Data Intelligence this month.

Dr. Jian Qin, Syracuse University, USA

Dr. Xiao Hu, The University of Hong Kong, China

Dr. Peter Wittenburg, Max Planck Compute and Data Facility, Germany

Dr. Francesco Osborne, Open University in Milton Keynes, UK

Dr. Chengzhi Zhang, Nanjing University of Science & Technology, China

Dr. Xiaowang Zhang,Tianjin University, China

Dr. Tianxing Wu, Southeast University, China

Dr. Huaiyu Wan, Beijing Jiaotong University, China



DI News Highlights


1 Peer review of Open Science special issue papers started

Guest Editors of the Speical Issue:


Peter Wittenburg                                                           George Strawn                    

Max Planck Institute (MPI), Germany                           US National Academies of  Sciences, Engineering, and Medicine

      This special issue is firstly based on a selection of a number of accepted abstracts by the Open Science conference held in Germany, which are all focused on specific topics and projects fostering OS. As the guest editors Peter Wittenburg, George Strawn  and the managing editor Fenghong Liu thought that it would be desirable to add some generic papers to this special issue to add a general framework for these particular papers, a very high-level review panel is established and a vision/position/practice/research article is solicited to the panelists.  So far, five papers are under review and the entire issue is scheduled to publish the beginning of next year.

A big thank you to Peter and George!


2 Knowledge Graph Workshop at ACM KDD2020 Organized by DI EIC Jim Hendler and Ying Ding held on August 24

     International Workshop on Knowledge Graph: Mining Knowledge Graph for Deep Insights organized by DI Co-EICs Jim Hendler and Ying Ding, as well as Editor Jie Tang was held on August 24, 2020, San Diego, California, USA. Accepted papers with a solid extension will be published in DI.

Website: https://suitclub.ischool.utexas.edu/IWKG_KDD2020/index.html#introduction


      Keynote Speakers

     James Hendler (RPI & DI Co-EIC)

     Topic: Knowledge Graph Semantics

     PPT: https://suitclub.ischool.utexas.edu/IWKG_KDD2020/slides/James.pptx



  Jiawei Han (UIUC)

  Construction of Multi-Dimensional Knowledge Graphs

   PPT: https://suitclub.ischool.utexas.edu/IWKG_KDD2020/slides/Jiawei.pdf





   Christopher Ré (Stanford University)

   Bootleg: Guidable Self-Supervision for Named Entity Disambiguation

   Bootleg is open-source at http://hazyresearch.stanford.edu/bootleg/.




   Shih-Fu Chang (Columbia University)

   Multimodal Knowledge Graph: Generation Methods, Applications, and Challenges

   PPT: https://suitclub.ischool.utexas.edu/IWKG_KDD2020/slides/Shih-Fu.pdf





   Jonathan Dry (Tempus)

   Learning patient data graphs to drive biological discovery

   Abstract: https://suitclub.ischool.utexas.edu/IWKG_KDD2020/index.html#speakers&panelists




   Anne Cocos (GSK)

   Accelerating drug discovery with the GSK.ai knowledge graph

   Abstract: https://suitclub.ischool.utexas.edu/IWKG_KDD2020/index.html#speakers&panelists





   Brad Bebee (Amazon)

   Customer trends: Gaining deeper insights from knowledge graphs

   Abstract: https://suitclub.ischool.utexas.edu/IWKG_KDD2020/index.html#speakers&panelists





   Marinka Zitnik (Harvard Medical School)

  Learning actionable representations of interconnected biology

   Abstract: https://suitclub.ischool.utexas.edu/IWKG_KDD2020/index.html#speakers&panelists





   Machine learning prediction and tau-based validation identifies novel Alzheimer’s disease genes relevant to immunity

  Tudor Oprea (The University Of New Mexico)

  PPT: https://suitclub.ischool.utexas.edu/IWKG_KDD2020/slides/Tudor.pptx




     Prof. Barend Mons’s article published in NatureInvest 5% of research funds in ensuring data are reusable in Nature. It is irresponsible to support research but not data stewardship, says Barend Mons.

      In addition, he published The VODAN IN: support of a FAIR-based infrastructure for COVID-19 recently.The article introduces The Virus Outbreak Data Network (VODAN) Implementation Network (IN), which was conceived to kick-start a ‘community of communities’ that could design and rapidly build a truly international and interoperable, distributed data network infrastructure that supports evidence-based responses to the viral outbreak.


4 DI indexed by INSPEC and DOAJ

      DI was recently accepted for indexing in the INSPEC database and DOAJ. Inspec is one of the most definitive databases for subject-specific and interdisciplinary research in the fields of engineering, physics and computer science. It's very well-known for its intelligent data annotation services for research literature and has been an essential discovery tool to numerous prestigious institutions around the world. It has built up a solid collaboration with many journal-indexed databases, like Web of Science and Engineering Village. That's to say, when we submit the DI journal to SCI and EI for evaluation of inclusion, the committee members will see it is in the INSPEC journal list. DOAJ is a community-curated online directory that indexes and provides access to high quality, open access, peer-reviewed journals.

Thanks go to our dedicated and supportive EICs, Editorial Board Members, Reviewers and Authors!


5 Article coauthored by DI editor Dr. Guohui Xiao selected as cover article of International Journal of Geo-information

      This paper A Framework Uniting Ontology-Based Geodata Integration and Geovisual Analysis coauthored by DI editor Dr. Guohui Xiao discussed ontology-based geodata integration and visulization analysis.


Open Questions


1 Solicit papers for DI

     Special Issues play an important role in improving the reputation of a journal, especially those organized by authoritative and international-established scholars, to focus the topic of the issue and to promote DI internationally. DI successfully published a special issue on The FAIR Principles: First Generation Implementation Choices and Challenges organized by our Advisor Barend Mons and his coworkers Dr. Erik Schultes and Dr. Annika Jacobsen. All editors are welcome to suggest topics for special issues, to recommend guest editors, and welcome editors to self-recommend organizing special issues. Some editors suggest a Short Communication (Short Paper or Letter) to be included in DI. This format is usually short, one or at most two pages, and it is problem driven, status quo-challenging, puzzle-exploring, paradigm-debating, thought stimulating or provoking, to pin-point the grand challenges facing the theoretic research and practices of the fields. It will be distinguishingly different from literature reviews which require extensive citations and from perspectives which provides systematic analysis. You are welcome to recommend scholars or experts to write Short Communications to DI. Many thanks to our Editor Dr. Guohui Xiao for his coordination with submission of a Short Communication paper for the online seminar organized by the KRDB Research Centre for Knowledge and Data at the Free University of Bozen-Bolzano, Italy (http://www.inf.unibz.it/krdb/sos-2020/).


2 Promote the impact for DI

     DI LinkedIn Connections have reached 440.