DI3: International Workshop on Data Integration, Intelligence, and Interoperability for Smart Cities

AIST Tokyo Waterfront, February 22-23, 2019, Tokyo, Japan.

Purpose and Scope


Smart cities depend not only on the city's endowment of hard infrastructure, but also on the availability and quality of data processing techniques and knowledge communications. As we continue to accumulate huge data from our cities with IoT (Internet of Things) infrastructures, we are forced to confront the complex interplay between big data processing and utilizing for smart city systems that make our communities attractive and welcoming to the people who live there.
The next generation of data platform needs to incorporate with AI (Artificial Intelligence) technologies in the data pipelines for better understanding, predicting, and optimizing the information from huge amount data for supporting various types of smart city applications. For example, autonomous transportation, sustainable smart city planning/implementation, augmented building and energy management, self-optimized manufacturing, predicting epidemic outbreak, and so on. However, there are multitude of challenges in terms of data integration, intelligence and interoperability. Solving these challenges requires substantial effort and domain experts need to be involved.
This workshop focuses on the data infrastructure (i.e., data platform) and technology for smart city from the perspective of data integration, intelligence and interoperability. We will explore the state-of-the art data management technologies and discuss how to incorporate with AI for supporting the improvement of the quality of citizen’s life as a fundamental infrastructure of smart cities.

Topic of Interest


The main goal of this workshop is to provide a forum to meet, exchange research and implementation ideas, and share the most exciting results. DI3 aims to offer practitioners and researchers with diverse backgrounds an opportunity to present research papers, share experiences, and participate in open discussions. Relevant topics include, but are not limited to:
  • Data Integration Techniques from Big Heterogeneous Source
  • Interoperability issues in Next Generation Data Platforms
  • Data Integration Systems Approaches, Simulation, Methodologies, and Interoperability frameworks
  • Data driven intelligence based on Artificial Intelligence technologies
  • Quality of Service (QoS) and Quality of Experience (QoE) supported Data Platform
  • Open Linked Data and APIs for Data Intelligence Processing
  • Distributed, parallel and peer-to-peer approaches to index, search and process 3D Bigdata
  • Human-machine interface in Smart City Environments
  • Interoperability for (Model-Based) Systems Engineering and Requirements Engineering
  • Cloud and Edge Computing Technologies for Intelligence Applications
  • Interoperability aspects of domain specific applications of Smart Cities: health-care, disaster management and response, manufacturing, energy management, environment, logistics and mobility, agriculture and food, etc.

Program at a Glance


Friday, Feb 22 (Semi-closed International Workshop, Conference Rooms 2 and 3 @ Annex Build. 11F)
10:00 - 12:00 Plenary Session Chair: Hideki Asoh
10:00 - 10:10 Opening Remark Prof. Jun-ichi Tsujii, AIRC
10:10 – 10:40 Transportation Data, Applications & Research for
Smart Cities		 Prof. Cyrus Shahabi
(University of Southern California, USA)
10:40 – 11:10 Video Turing Test: A Challenge for Human-Level AI Prof. Byoung-Tak Zhang
(Seoul National University, Korea)
11:10 – 11:40 Smart Services for a new Generation of co-creative Production Prof. Andreas Dengel
(DFKI, Germany)
11:40 – 12:10 Knowledge Base and Intelligent Applications Prof. Hsin-his Chen
(National Taiwan University, Taiwan)
12:10 – 13:30 Lunch
13:30 – 15:30 Parallel Session@Smart City: Conference room 2
Data Integration & Intelligence		 Chair: Ryosuke Nakamura, AIRC
13:30 – 14:00 Towards Robust Data Intelligence in Adversarial Settings Prof. Xiong Li
(Emory University, USA)
14:00 – 14:30 Translational Visual Data Platform for Smart City:
Case Study with the City of Los Angeles		 Prof. Seonho Kim
(University of Southern California, USA)
14:30 – 15:00 Fast Similarity Query Processing for Entity Matching Prof. Chuan Xiao
(Nagoya University, Japan)
15:00 – 15:30 Applying geospatial data science to improve
the quality of citizen’s life in smart cities		 George Percivall
(OGC, USA)
15:30 – 16:00 Coffee Break
16:00 – 18:00 Parallel Session@Smart City: Conference room 2
Data Intelligence		 Chair: Kyoung-Sook Kim, AIRC
16:00 – 16:30 AI for the Elderly Prof. Virach Sornlertlambanich
(SIIT, Thammasat University Thailand)
16:30 – 17:00 Managing Uncertainty in Big Data Prof. Reynold CK Cheng
(Hong Kong University, China)
17:00 – 17:30 Building Tokyo water front area on ABCI by 2020 Dr. Ryosuke Nakamura
(AIST)
17:30 – 18:00 The Deliberatorium Project: Crowd-Scale Deliberation Dr. Mark Klein
(MIT, USA)
18:00 – Closing Plenary & Gathering for Chats

Saturday, Feb 23 (Team Discussion, Meeting Room 1 @ Annex Build. 10F)

10:00 – 10:10 Team Introduction Dr. Kyoung-Sook Kim
(AIST, Workshop Organizer)
10:10 – 10:40 Computational tools for journalism Dr. Julien Leblay
(AIST)
10:40 – 11:10 Graph embedding based on node similarities Dr. Xin Liu
(AIST)
11:10 – 11:40 Continuous Queries over 3D Data Streams Dr. Salman Shaikh
(AIST)
11:40 – 12:10 Citywide Crowd Dynamics Prediction at Big Events Renhe Jiang
(AIST)
12:10 – 14:00 Lunch