- From: Ying Ding <dingying@indiana.edu>
- Date: Wed, 20 Mar 2019 20:41:33 -0400
- To: SIGIR@LISTSERV.ACM.ORG, webscience-announce@ecs.soton.ac.uk, public-schemaorg@w3.org, public-vocabs@w3.org, iuni-discussion-l@list.iu.edu, asis-l@mail.asist.org
CALL FOR PARTICIPATION ------------------------------------------------------------------------------ The First International Workshop on Knowledge Graph Technology and Applications Co-located with WWW2019 (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, 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 CONTACT INFORMATION Ying Ding: dingying@indiana.edu Raghava Mutharaju: raghava.mutharaju@iiitd.ac.in Chenyan Xiong: chenyan.xiong@microsoft.com 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 00:42:01 UTC