Workshop Program

The workshop will be held 9:00 - 16:10, Copenhagen time (GMT+2), Monday, August, 16th. Zoom link is provided at Whova.


9:00 ~ 9:10 Opening
9:10 ~ 10:00 Research session 1: Chair Yuya Sasaki (Osaka University)
   1. Live presentation Robust Cardinality Estimator by Non-Autoregressive Model
   Ryuichi Ito, Chuan Xiao, and Makoto Onizuka (Osaka University)
   2. Live presentation Conflict Resolution for Data Updates by Multiple Bidirectional Transformations
   Mikiya Habu (FUJIFILM System Services Corp.) and Soichiro Hidaka (Hosei University)
10:00 ~ 10:10 Short break
10:10 ~ 11:40 Keynote session 1: Chair Keisuke Nakano (Tohoku University)
   Perdita Stevens (The University of Edinburgh)
   Theory and Practice of Networks of Models
11:40 ~ 13:00 Lunch break
13:00 ~ 14:20 Research session 2: Chair Chuan Xiao (Osaka University)
   1. Video with live QA Entity Matching with String Transformation and Similarity-Based Features
   Kazunori Sakai (Kwanse Gakuin University), Yuyang Dong, Masafumi Oyamada, Kunihiro Takeoka (NEC Corporation), and Takeshi Okadome (Kwanse Gakuin University)
   2. Video with live QA Towards Automatic Synthesis of View Update Programs on Relations
   Bach Nguyen Trong (SOKENDAI) and Zhenjiang Hu (Peking University)
   3. Live Presentation Adaptive SQL Query Optimization in Distributed Stream Processing: A Preliminary Study
   Darya Sharkova (HSE University), Alexander Chernokoz (ITMO University), Artem Trofimov, Nikita Sokolov (Yandex), Ekaterina Gorshkova (JResearch Software), Igor Kuralenok (Yandex), and Boris Novikov (HSE University)
14:20 ~ 14:30 Short break
14:30 ~ 16:00 Keynote session 2: Chair George Fletcher (Eindhoven University of Technology)
   Juan Sequeda (Data.world)
   A Knowledge Revolution is coming!
16:00 ~ 16:10 Closing

Keynote


Perdita Stevens (The University of Edinburgh, Scotland)

  Professor Perdita Stevens (Edinburgh) works on mathematical aspects of software modelling and model-driven development, including foundations of bidirectionality: this is about how to maintain consistency between different data sources, such as models of different aspects of a software system. She wrote the first textbook on UML (Using UML) and more recently How to Write Good Programs: a guide for students. She is on the Editorial Boards of journals including Theoretical Computer Science, Software and Systems Modeling, and Journal of Object Technology, and has chaired conferences including UML (now MODELS), TACAS, FMOODS and FASE.

[Talk Title] Theory and Practice of Networks of Models

Separating concerns into multiple data sources, such as multiple models of a software system under development, enables people to work in parallel. However, concerns must also be re-integrated, and this gives rise to many interesting problems, both theoretical and practical. In my keynote talk I will discuss some of them; in this accompanying paper I give some background to my work in recent years and summarise some key points and definitions.

Juan Sequeda (Data.world, US)

  Juan F. Sequeda is the Principal Scientist at data.world. He joined through the acquisition of Capsenta, a company he founded as a spin-off from his research. He holds a PhD in Computer Science from The University of Texas at Austin. Juan is the recipient of the NSF Graduate Research Fellowship, received 2nd Place in the 2013 Semantic Web Challenge for his work on ConstituteProject.org, Best Student Research Paper at the 2014 International Semantic Web Conference, the 2015 Best Transfer and Innovation Project awarded by the Institute for Applied Informatics and nominated two additional times for best paper at ISWC. Juan is on the Editorial Board of the Journal of Web Semantics, Advisory Board of Patterns Journal, member of multiple program committees (ISWC, ESWC, WWW, AAAI, IJCAI), organizer of various academic and industry conferences and general chair of The Web Conference 2023. Juan strives to build bridges between academia and industry as the current chair of the Property Graph Schema Working Group of the Linked Data Benchmark Council (LDBC), past member of the LDBC Graph Query Languages task force and past invited expert member and standards editor at the World Wide Web Consortium (W3C). Juan’s research and industry work has been on designing and building Knowledge Graph for enterprise data integration where he has researched and developed technologies for semantic and graph data virtualization, graph data modeling, schema mapping and data integration methodologies. Wearing his scientific hat, Juan's goal is to reliably create knowledge from inscrutable data. His research interests are at the intersection of Logic and Data for (ontology-based) data integration and semantic/graph data management. Wearing his business hat, Juan does business strategy, technical sales and works with customers to understand their problems to translate back to R&D.

[Talk Title] A Knowledge Revolution is coming!

Enterprises today, large and small, are moving towards the modern data stack: a suite of data integration tools which are hosted in the cloud and require minimal technical configuration by users. This is revolutionizing the legacy ways of integrating data. A concern I have is that we will continue the same ol’ same ol’ with data, moving it between different silos and further emphasizing an application-centric world and a software wasteland, except that this time it will be in the cloud. We continue to forget an essential ingredient: knowledge!
Data and knowledge need to be at the center of an organization. In this talk, I will argue that knowledge graphs fulfill this need. We need to understand how to best combine people, processes and technology. Our experience indicates that there is an incremental and agile ‘crawl, walk, run’ approach to combine these three things. It’s time to shake things up because a knowledge revolution is coming!