Call for Participation - Knowledge Graph Technology and Applications @ WWW2019, May 13, San Francisco


The First International Workshop on Knowledge Graph Technology and 
Co-located with WWW2019 (
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, 
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 Unviersity
- 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: Hassan Sawaf, Amazon
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 Attention-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

Ying Ding:
Raghava Mutharaju:
Chenyan Xiong:

Workshop Organizers (in alphabetic order)
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

Received on Thursday, 21 March 2019 00:42:04 UTC