学术会议 | 国际知识图谱技术与应用研讨会 (KGTA@WWW2019)

 

CALL FOR PARTICIPATION

The First International Workshop on Knowledge Graph Technology and Applications

Co-located with WWW 2019 (https://www2019.thewebconf.org/)
https://datainnovation.soic.indiana.edu/www2019_kgta/index.html
May 13, 2019, San Francisco, California, USA

Knowledge Graphs are graph structures that capture knowledge in the form of entities, relationships between them, properties, and additional information including provenance. Along with Semantic Web standards such as RDF, OWL, and SPARQL, advances in Machine Learning, Deep Learning, Natural Language Processing, and Information Retrieval has led to automated construction of knowledge graphs such as DBpedia, YAGO, Wikidata, proprietary Knowledge Graphs such as those from Google, LinkedIn, and Microsoft, and Product Knowledge Graphs from companies such as Amazon and eBay. Knowledge Graphs are used in a range of applications including search, question answering, data integration, recommender systems, etc., across several domains such as the Web, e-commerce, healthcare, geoscience, manufacturing, aviation, and power, oil and gas. There are several challenges related to knowledge graphs from the perspective of both the technology and its applications. This workshop aims to foster !
discussions along these perspectives. 

Workshop Schedule (May 13)

9:00 Workshop starts
9:00-9:30 Invited Talk: Denny Vrandecic, Google
9:30-10:00 Invited Talk: Jure Leskovec, Stanford
10:00-10:30 Coffee Break
10:30-11:20 Paper Presentation

Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolution Network, Shumin Deng (Zhejiang Univ), Ningyu Zhang (Alibaba Group), Wen Zhang (Zhejiang Univ), Jiaoyan Chen (Univ of Oxford), Jeff Z. Pan (Univ of Aberdeen) and Huajun Chen (Zhejiang Univ )

How new is the (RDF) news? Assessing knowledge graph completeness over news feed entities, Tomer Sagi (Univ of Haifa), Katja Hose (Aalborg Univ) and Yael Wolf (Univ of Haifa)

Content based News Recommendation via Shortest Entity Distance over Knowledge Graphs, Kevin Joseph (York Univ) and Hui Jiang (York Univ)

Trust and Privacy in Knowledge Graphs, Daniel Schwabe (PUC-Rio) and Carlos Laufer (Pontifical Catholic Univ of Rio de Janeiro)

11:20-12:30 Panel: Computational Methods about Knowledge Graph

  • Jie Tang, Tsinghua University
  • Jure Leskovec, Stanford
  • Kuansan Wang, Microsoft
  • Deborah McGuinness, RPI
  • Hassan Sawaf, Amazon

12:30-1:30 Lunch break

1:30-2:00 Invited Talk: Yuqing Gao, Microsoft
2:00-2:30 Invited Talk: Doug Raymond, Allen Institute for AI
2:30-3:30 Paper Presentation

Building a Knowledge Graph for the Air Traffic Management Community, Rich Keller (NASA)

WebProtege: A Cloud-Based Ontology Editor, Matthew Horridge (Stanford Univ), Rafael S Gonçalves (Stanford Univ), Csongor I Nyulas (Stanford Univ) and Mark A Musen (Stanford Univ)

Scalable Knowledge Graph construction over text using Deep Learning based Predicate Mapping, Aman Mehta (International Institute of Information Technology), Aashay Singhal (International Institute of Information Technology) and Kamalakar Karlapalem (International Institute of Information Technology)

An Atention-based Model for Joint Extraction of Entities and Relations with Implicit Entity Features, Yan Zhou (Univ of Chinese Academy of Sciences), Longtao Huang (Chinese Academy of Sciences), Tao Guo (Chinese Academy of Sciences), Songlin Hu (Chinese Academy of Sciences) and Jizhong Han (Chinese Academy of Sciences)

3:30-4:00 Coffee Break
4:00-5:30 Panel: Knowledge Graph Industry Applications

  • Joshua Shinavier, Uber
  • Kim Branson, Genentech
  • Wei ZHang, Alibaba
  • Shima Dastgheib, NuMedii
  • Yuqing Gao, Microsoft
  • Bogdan Arsintescu, LinkedIn
  • Fatma Özcan, IBM Almaden
  • Edgar Meij, Bloomberg
  • David Newman, Wells Fargo

CONTACT INFORMATION

Ying Ding: dingying@indiana.edu

Raghava Mutharaju: raghava.mutharaju@iiitd.ac.in

Chenyan Xiong: chenyan.xiong@microsoft.com

Workshop Organizers

Huajun Chen, Zhejiang University, China

Laura Dietz, University of New Hampshire, USA

Ying Ding, Indiana University Bloomington, USA

Wendy Hall, University of Southampton, UK

James Hendler, Rensselaer Polytechnic Institute, USA

Deborah McGuinness, Rensselaer Polytechnic Institute, USA

Edgar Meij, Bloomberg LP, USA

Sam Molyneux, Chan Zuckerberg Initiative, USA

Varish Mulwad, GE Global Research Center, USA

Raghava Mutharaju, IIIT-Delhi, India

Jeff Z. Pan, University of Aberdeen, UK

Xiang Ren, University of Southern California, USA

Jie Tang, Tsinghua University, China

Alex Wade, Chan Zuckerberg Initiative, USA

Mengting Wan, University of California, San Diego (UCSD), USA

Chenyan Xiong, Carnegie Mellon University, USA

Min Zhang, Tsinghua University, China


OpenKG

开放知识图谱(简称 OpenKG)旨在促进中文知识图谱数据的开放与互联,促进知识图谱和语义技术的普及和广泛应用。

 

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