Data Spaces Symposium 2024

Data Spaces Testbed
Seen by the Japanese
Data Society Alliance
MARCH 13, 2024

Noboru Koshizuka/越塚登
Professor, The University of Tokyo
This presentation is based on results obtained from “Research and Development Project of the Enhanced Infrastructures for Post 5G Information andCommunication Systems” (JPNP20017), commissioned by the New Energy and Industrial Technology Development Organization (NEDO).

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

Noboru Koshizuka
越塚 登
Professor, The University of Tokyo
Chair, Data Society AllianceDirector-General, Smart City Social
Implementation Consortium
Chair, Green x Digital Consortium, JEITAChair, Weather x Business Consortium
Member, National Strategy Special Zone
Advisory Council
Member, Digital Society Initiative Committee
Member, Communications and Information
Technology Council
etc.
2

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

Bio., Noboru Koshizuka (leading initiatives, etc…)

Professor
The University of Tokyo

Chair
Data Society AllianceDirector
Director
Smart City Social
Weather x Business
Implementation Consortium
Consortium

IDSA Japan Hub Coordinator
IDSA Ambassador

Director
Green x Digital Consortium
JEITA

3

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

Bio., Noboru Koshizuka (Governments Relationships)

Ube City

Kochi
Prefecture4(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

PART 1The University of Tokyo

5

6

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

7

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

8

9

1-1. Background
TRON Project

The Realtime Operating system Nucleus

10(C) 2023 Noboru Koshizuka, All Rights Reserved.

TRON Project （Japan、Since 1984）
n TRON Project （Establihsed, 1984）► The Realtime Operating system Nucleus

n Ultimate goal is to realize IoT/Ubiquitous
Computing Environments

7
8
9
1

► “Highly Functionally Distributed System”► “MTRON” (Macro TRON)► “Computer Everywhere Environment”

Dr. Ken Sakamura: “TRON Project 1987”

2024/3/11
11

(C) 2023 Noboru Koshizuka, All Rights Reserved.

2024/3/11

μT-Kernel: RTOS for IoT of TRON Architecturen The latest version of TRON OS for smallscale microcomputer► For 16-bit single-chip microcomputer andenvironments where the amount of ROM and
RAM is limited► “μT-Kernel” designed to meet the demands touse small-scale MCU

n Keep balance of two conflicting demands► “strict specification” for improving thedevelopment efficiency► acceptance of adaptation/optimization forimproving execution performance12(C) 2023 Noboru Koshizuka, All Rights Reserved.

2024/3/11

TRON has been embedded into various products!

TRON
insideTRON
insideTRON
insideTRON
insideTRON
insideTRON
inside13

2024/3/11(C) 2023 Noboru Koshizuka, All Rights Reserved.

Spaceship Hisaki (Sprint-A) was launched by Epsilon-1 (2013, JAXA)n "Hisaki (Sprint-A)"► Spectroscopic Planet Observatory for
Recognition of Interaction of Atmosphere► T-Kernel controls all functions

TRON
insideTRON
insideEpsilon-1: controlled by ITRON
14

(C) 2023 Noboru Koshizuka, All Rights Reserved.

2024/3/11

Market-share of TRON OS in Embedded Real Time OS Field

Map of TRON OS User Countries

15(C) 2023 Noboru Koshizuka, All Rights Reserved.

TRON Smart House (1989)n More than 1,000 of computers and sensors in the house of 333m2

2024/3/11
16

(C) 2023 Noboru Koshizuka, All Rights Reserved.

2024/3/11

Chiba TRON Smart City (1989)

http://umdb.um.u-tokyo.ac.jp/DKankoub/Publish_db/1997DM/DM_CD/DM_TECH/BTRON/PROJ/CITY.HTM

Computerized City for Human
Future city in which vast number of intelligent objects and communication machines are integrated by highly functionally distributed systemn Function Distribution

Basic Concept

n Space Distribution

n Harmony with nature, environmental protection, resource conservationn Cooperation Distributionn Comfort, safety and inclusive

n Time Distribution

n Increased intellectual productivity/intellectual stimulation17

1-2. Background
CPaaS.io: City Platform as a Services
Integration and OpenEU-Japan Collaborationfor Smart Cities
The Realtime Operating system Nucleus

18

(C) 2022 Koshizuka-Lab., All Rights Reserved

2024/3/11

CPaaS.io Project Partners

192024/3/11(C) 2024 Noboru Koshizuka, All Rights Reserved.

FIWARE-TRON Interoperable Architecture for Smart City Platform
Smart City Service

Smart City Service

Smart City Service

Smart City Service

Open APISPARQL

Open API
Federation Using
Linked Data andOpen API

Information Service Layer
IoT Translation Engine

KokosilSemantic Integration Layerucode Manager

ucR Manager

ucode RP
– ID Resolution– IoT Service FindingucR Query Protocol– SPARQL-Based– REST-BasedIoT Aggregator– Tunneling– Access Control

CPaaS.io– Personal DataStoreeTRON Security Architecture

u2 Open Data Catalog

SPARQL

Security Layer
KeyRockXACML

CAPManager

PEP ProxyContext
Management
IoT
Knowledge
ServerCP ABE
Process
Management

IoT
Discovery

IoT
BrokerData
Context
BrokerFogFlow
Service
Orchestration

IoT Devices
SPARQL Agent
ProtocolAdapterIoT Agent
ProtocolAdapter

Data
Handling

Devices

Devices
IoT Engine(uT-Kernel 2.0)

Smart City Service

FIWARE-Based Instanceu2-Based InstanceOpen Data
Distribution
Platform

Smart City Service

ucode BLE

ucode NFC

ucode QR

DeviceDeviceNGSI Device

NGSI Device

FIGURE 1. The CPaaS.io platform architecture showing the components and the federation between a u2-based instance and a
FIWARE-based instance. CAP: capability; PEP: policy enforcement point; CP ABE: ciphertext-policy attribute-based encryption; NFC: nearfield communication.

20

2024/3/11(C) 2022 Koshizuka-Lab., All Rights Reserved

N. Koshizuka, S. Haller, and K. Sakamura: “CPaaS.io: An EU-Japan Collaboration on Open Smart
City Platforms,” IEEE Computer, December, 2019.
GOVERNMENTS IN THE AGE OF BIG DATA AND SMART CITIES

Smart City Service

CPaaS.io: An EU–Japan
Collaboration on Open
Smart City Platforms

Smart City Service

Smart City Service

Smart City Service

Open APISPARQL

Open API
Federation Using
Linked Data andOpen API

Information Service Layer
u2 Open Data Catalog

IoT Translation Engine

KokosilSemantic Integration Layerucode Manager

ucR Manager

ucode RP
– ID Resolution– IoT Service FindingucR Query Protocol– SPARQL-Based– REST-Based

Open Data
Distribution
Platform

Smart City Service

Smart City Service

FIWARE-Based Instanceu2-Based InstanceIoT Aggregator– Tunneling– Access Control

CPaaS.io– Personal DataStoreeTRON Security Architecture

COVER FEATURE GOVERNMENTS IN THE AGE OF BIG DATA AND SMART CITIESSPARQL

Security Layer
KeyRockXACML

CAPManager

PEP ProxyContext
Management
IoT
Knowledge
ServerCP ABE
Process
Management

IoT
Discovery

IoT
BrokerData
Context
BrokerFogFlow
Service
Orchestration

IoT Devices
SPARQL Agent
ProtocolAdapterIoT Agent
ProtocolAdapter

Data
Handling

Noboru Koshizuka, The University of Tokyo
Stephan Haller, Bern University of Applied Sciences

IoT Engine(uT-Kernel 2.0)

Data-driven cities and governments rely significantly on
data collection, management, and distribution platforms.

T

Digital Object Identifier 10.1109/MC.2018.2880019
Date of publication: 5 February 201950

COM PUTE R PUBLISHED BY THE IEEE COMPUTER SOCIET Y

ucode BLE

ucode NFC

ucode QR

DeviceDeviceNGSI Device

NGSI Device

FIGURE 1. The CPaaS.io platform architecture showing the components and the federation between a u2-based instance and a
FIWARE-based instance. CAP: capability; PEP: policy enforcement point; CP ABE: ciphertext-policy attribute-based encryption; NFC: nearfield communication.

In this article, we introduce CPaaS.io, a collaborative
project between Japan and the European Union withthe goal of establishing common smart city platforms
for deployment in real smart city use cases.
oday, data are crucial to the functioning ofsociety. In fact, it is sometimes said that themost competitive area in information andcommunications technology (ICT) is not algorithms but data. The ICT National Strategy of Japan
known as Society 5.0 proposes a data-driven society inwhich data help solve problems in the fields of mobility, supply chains, healthcare, and lifestyle to name afew. This will generate further economic growth andDevices

DevicesKen Sakamura, Toyo University

increase quality of life. Consequently, both in Japanand the European Union (EU), data have been termed
the oil of the 21st century. These data come from a variety of sources: the Internet of Things (IoT) and sensors,
open government resources, social media, and industry
and business repositories, not to mention the wealthof personal information from individual users. Thesecan be obtained, linked, and analyzed to extract valuable intelligence and transform our society for a better
future. In the deployment of smart city services, providing a platform for data collection, management, anddistribution is crucial.
0018-9162/18©2018IEEE

currently making efforts to build
a Public Transportation Open Data
Center offering information on railways, buses, airlines, and all othermeans of transportation in Tokyo(Figure 2). The demand for open dataof public transportation has become
very high, and the number of association members has increased to 56
corporations (as of 23 April 2018) andnine observers.
From the standpoint of technology,
ODPT uses IoT and open data for thisactivity. Static data, such as timetable and station map data, can easily be
distributed using only open data technologies, but dynamic, real-time data,such as train/bus location and theirreal-time operation status data, must
be dealt with using IoT technology
52

COMPUTER

such as sensor networks and geolocation systems.

Location-aware city guide services
based on open data, Sapporo

International tourism is a big industry both in Japan and Europe. For
example, in 2016, the number of international tourists arriving in Japan
increased to over 24 million; in theEU, close to 500 million arrivals werecounted. Clearly, tourism support is arelevant application for the smart city.
Sapporo is one of Japan’s most popular tourist cities, offering nearby ski
resorts, hot springs, and many otherattractions. Promoting tourism using
digital technologies and a smart city
platform is very much in the interestof Sapporo.

In a joint project with the city, we
first established the Sapporo Open
Data Association in 2016 with 22organizations (sapporo.odcity.org).
This association conducts research,such as studying open data provisioning and its uses for Sapporo tourism and public transportation, andholds events like application contests,
hackathons, and ideathons; promotes
op en d at a u s a ge; a nd encou r a ges
application usage on smart phones
during feasibility study experiments.
We have collected, integrated, andpublished many data sets related
to tourism, e.g., sightseeing, hotel,
restaurant, and public transportation
information. For the latter, we use the
Public Transportation Open Data Center, as mentioned previously.
W W W.CO M P U T E R .O R G /CO M P U T E R

21

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

PART 2
Initiatives in Japan
Related to Data Spaces

222024/3/11(C) 2024 Noboru Koshizuka, All Rights Reserved.

Overall Status of Data Platform Initiatives in Japan
Prepared on the basis of the 4th (in 2022) Data Strategy Promotion WG document and other documents

Local Government Official ID

FIWARE

Catena-X

Malaysia

China

Taiwan…

Intra-City
Data

Ouranos Ecosystem

Exchange
Platform

EDC

Japan Mobility
Data Spaces

DIAS (Academic Data)

Green x Digital Consortium(Green, CN-related Data)

MaaS PFs (Transportation)

MD communet (Transportation)

Consortium for the Promotion ofTransport Infrastructure
DX(Transportation)

ODPT (Transportation)

Tellus (Space)

SIP4D (Disaster)

G-Space (Geospatial Data)

IVI (manufacturing industry)……

WAGRI (Agricultures)……

Urban OSs（Smart City）

SAWACHI（Kochi）

ORDEN（Osaka）

TDPF（Tokyo）…
…

Cross-Domain Data
Exchange Platforms

IDSA

BODIK

VLED

gBizConnect

International Collaboration
GAIA-X

Public Service Mesh……

Semi-public sectors/private sectors (Industries)

Battery supply chain data platform.

GIMA (government officials)

Smart
City

Local
Governments

DATA-SMART CITY SAPPORO(Sapporo)

GBizID (Companies)

XROAD (Road)

JPKI (People)

Plateau (City 3D Data)

IdPs / CA PFs

data.e-gov.go.jp

Everysense(Data Trading Market）

Domain Specific Data Exchange Platforms (2-Layers)

Information Banks/PDSs(Personal Data)e-StatPublic Data
Public Services

Data Service PFs…

MLIT Data Platform

SIP CADDE…
…

Cross-Domain Data Exchange Platform DATA-EX
SIP CADDE23

2-1
Domain Specific Data Sharing
Platforms (Layer 1)

24

2024/3/11(C) 2024 Noboru Koshizuka, All Rights Reserved.

Domain Specific Data Sharing Platforms (1st Layers)

National Government Open Data

Personal Data Store

Public Transportation

AI

Local Government Open Data

Information Bank (Personal Data)

Tokyo Metropolitan Government

Weather

Data Trading

Public Transportation

Manufacturing

Academia

Space

Agriculture

Geography

25

2-2
Domain Specific Data Sharing
Platforms (Layer 2)26

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

Domain Specific Data Sharing Platforms (2nd Layers)

Ouranos Ecosystem (METI)

Japan Mobility Data Spaces (SIP3)

MLIT Data Platform (MLIT)

27

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

2-3
Cross-domain Data Sharing Platformin Federated Architecture (Layer 3)
DATA-EX/DSA

28

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

DATA-EX/DSA (Data Society Alliance)
https://data-society-alliance.org/
DATA-EX
DATA-EX is the collective name for the efforts of the Data
Society Alliance (DSA) to realize cross-domain dataexchange.
The DATA-EX cross-domain data exchange platform(hereinafter referred to as "DATA-EX"), which is at thecore of these efforts, is a technical and social platformthat enables the discovery and use of data across fields.

Vision“World of Data-Driven Innovation”

Mission
1. Establish Data Driven Society with democracy ofinnovation
2. Develop data-distribution infrastructure for the world
3. Accelerate social implementation with Technology andService development
4. Collaboration and Contribution to the World
29

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

Organization of Data Society Alliance (DSA)
A Members

B Members

30(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

The Japan Dataspace: Nation Level Cross-Industry Data Platform

Carbon Neutral Society

Efficient operation and management ofcritical social infrastructure

Disaster prevention and response Food security and safety Strengthening the Medical/healthcare/well-being
Rapid rescue operations,international competitiveness of JapaneseRapid emergency patient
provision of appropriate information
agricultural products.
transport to hospital

The Japan “Dataspace”

Bridge strain
monitoring.

Disaster Situation
Monitorweatherobservation

Remote Sensing

Food production
environment monitors

Logistics statusmonitorHospital occupancy
monitors.

Patient statusmonitor31

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

Federation Architecture of Cross-domain Data Platform

分野間データ連携基盤（DATA-EX）
Data Catalogue
Data Search Engine
Data ID Infrastructure
Ontology Management322024/3/11(C) 2022 Koshizuka-Laboratory, The University of Tokyo, All Rights Reserved.

High-Level Functional Architecture of DATA-EX
DATA-EX/DSA Platform

Data Exchange
Services

Trust Services

DSA Community
Management

Federation Functions

OSS Community
Management

Specification
Management

OSS Archive

Dashboard

Vocabulary
Management

API catalog

Federated Data
Catalog

Connector
Location Service

Certificate
Authority

Trust
Management

ID Provider

AppStore

Information BankPDS

Data Marketplace

U-Tokyo Testbed（CADDE Modules, EDC,FIWARE, …）

DATA-EX Testbed（NGSI Modules）

C
Data Users

Data
ProvidersC

DATA-EX on the Internet
C

CompaniesCC

SIP Projects

C

.....

C

SIP Auto-Cruise

.....

C

SIP4D

Smart Cities

C

WAGRI
Agriculture

.....

C

AI Hospital

City Governments

C
Smart City X

.....

C
Smart City A

Other cooperation

City Gov. A

.....

C
City Gov. X

CInternational Cooperation

33

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

2-4
External Services Collaborated with
Data Sharing Platform
Data Marketplaces

34

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

Data Marketplace: Initiatives to Transform Data into Value

Kyoto Data Marketplace
https://data-market.smart-kyoto.or.jp/

Data market place is an open platform for data exchange(sell andbuy) operated by trusted operators. Just as a variety of stocks arebought and sold by market participants in the securities market,
data exchanges allow users to purchase data held by companies
and local governments.

Sapporo Data Marketplace
https://ui.apimarket-sapporo.jp/

35(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

PART 3
SIP CADDE: Federated Data Sharing
Platform System

Developed by SIP Phase 2 Project (FY2018~2022)

36

(C) 2022 Koshizuka-Laboratory, The University of Tokyo, All Rights Reserved.

2024/3/11

Technologies of Cross-Domain Data Exchangen The objective of the SIP Phase 2 development of infrastructure Technologies of Cross-Domain Data
Exchange is to establish a mechanism that enables the discovery and use of data beyond the boundaries
of disciplines. To this end, we are proceeding with development based on the following principles
n Approach► To provide a basic venue and a variety of tools that can be used in order to enable the exchange of safe and securedata in an open and unrestricted manner.
u Distributed federal architecture to connect data distribution in the field.
u Designed for compatibility with existing technologies
u Highly versatile function-specific hierarchical structure that can handle everything from open data to business datau A variety of services and tools to support various stages of data use, from data generation to discovery, contracting,exchange, and history managementu Linkage with trust infrastructure to facilitate international collaborationu Simple architecture for easy implementationn Architecture► This project proposes a mechanism for data discovery and use across disciplines as CADDE (Connector Architecture
for Decentralized Data Exchange; CADDE).
► In CADDE, data exchange is realized through a network of connectors. Distributed data providers and data users
participate in this network by providing connectors that serve as contact points for each other. In the data exchange
between connectors, functions such as authentication and authorization, contract management, and history
management are invoked and used as needed.
► CADDE provides tools and services to support not only the process of data exchange, but also the functions
required in a series of phases of data utilization, such as data description vocabulary sharing, data discovery, anddata transformation

37

(C) 2022 Koshizuka-Laboratory, The University of Tokyo, All Rights Reserved.

2024/3/11

Cross Domain Data Exchange (CADDE Data Exchange)

Provider Connector

User Connector

38

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11“Connector”-based Federation Architecture (Data Federation Mechanism)
Your Data Platform

Your APIs
and data formats

Translation

Connector
Domain-Specific
Existing Local Data Platform

Standard APIs
and data formats

Cross-Domain
Global Dataspace39

(C) 2022 Koshizuka-Laboratory, The University of Tokyo, All Rights Reserved.

2024/3/11

Federated Data Catalog (Metadata Federation Mechanism)…More than 150,000 open datasets are collected

Searching datasets
by “COVID 19”

Many metadata are obtained bysearching open data catalogues
managed by city governments inJapan in a federated manner.
Kobe City

Yamguchi City

Tokyo Metropolitan Gov.

40

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

CADDE: OSS for Dataspaces in Federated Architecture
https://github.com/CADDE-sip

41

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

External Specifications of CADDE 4.0
https://github.com/CADDE-sip/documents/tree/master/doc/442

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

PART 4IDSA Japan Hub

43

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

IDSA Japan Hub, Nov. 2023
MoU

Interfaculty Initiative in Information Studies
The University of Tokyo
Research Center for UbiquitousInformation Society Infrastructure（Director: Noboru Koshizuka）

IDSA Japan Hub
IDSA Hub Coordinator, JapanIDSA Research Lab, Japan
IDTT: International Dataspace
Technology Testbed
Open Datacenter, The University of Tokyo

44

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

Data Spaces Discovery Day Tokyo, Nov. 22, 2023

45

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

Data Spaces Discovery Day Tokyo, Nov. 22, 2023

46

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

PART 5International Dataspace Technology
Testbed47

Data Space Technology International Testbed: An Overview
n Background► The distributed systems required to build a data spaces are huge systems.
► For individual companies and individuals (companies, universities, research
institutes, students, engineers...) , there have been great difficulties in testing these.
► Even if you say, "I want to touch the data space right now," you cannot touch it.

n Activities► Build an open testbed for data space technologies.
u The test environment is built in the computer system environment of the University ofTokyo.
u The test environment is positioned as an experimental environment that can be used freely.
u Using the test environment, learn how to use, implement, and manage and operate thedata space system
u R&D of technologies related to data space infrastructure and data linkage infrastructureu R&D of interoperability between various data space infrastructure and data linkage
infrastructure related technologies
u Once the development of DATA-EX is completed (currently in progress), we will put a newcomponent of DATA-EX into operation► Formation of a "technical community" for data space technology
u Publication of online magazines
u Holding training courses and hands-on workshops
u Collaboration with overseas data space technology communities
u In the future, we want to establish academic society for data spaces.

48

2024/3/11(C) 2024 Noboru Koshizuka, All Rights Reserved.

International Dataspace Technology Testbed
On Premise
Testbed Environment
Public Cloud
Testbed Environment

Systems of Member Organizations

IdP for CADDE
CC

CC
CC

SV

SV

CADDE Testbed

Dataspace
Gateway

...

SV

SV

IdP

...

SV

...

SV

...

SV

EDC
EDC
EDC

IDSA Testbed

Dataspace
Gateway
SV

SV

...

SV

SV

IdP
Orion

Orion

SV

SV

...

Orion

FIWARE Testbed
SV

SV

49

2024/3/11(C) 2024 Noboru Koshizuka, All Rights Reserved.

CADDE 4.0 Testbed in ITDT at U-TokyoCADDE 4.0
Federated Data
Catalog

CADDE 4.0
Transaction Log
ServerAuthorization(Access Control)
KeycloakFile Server
Google Drive

Authentication
Server
Open ID Server

CADDE 4.0
Data User
Connector

Sample Web App
Developed by
Koshizuka-lab

Private networkin U-Tokyo
DATA-EX Operator

Data User

Data Catalog
cKAN

Authorization(Access Control)
KeycloakData Catalog
cKAN

CADDE 4.0
Data Provider
Connector

CADDE 4.0
Data Provider
Connector

File Server
NAS

Data Provider

Data Provider

50

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

CADDE 4.0 in International Dataspace Technology Testbed

Data
Download51

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

UT CADDE Demo Video

52

2024/3/11(C) 2024 Noboru Koshizuka, All Rights Reserved.

Data Science Training Program(U-Tokyo, IDSA Research Hub, Japan)[PART 5]
Data-Driven Society

Society 5.0[5-1] Data Society[5-3] Data Trading and Market
Basics of Data Technologies[5-2] Data Governance[5-4] International Collaboration
GDPR
DFFT
Whole Data Lifecycle[PART 2]
Generation
Production[2-1] IoT (Internet ofThings)[2-2] Sensor networks…

[PART 1]
Basics of Data
Technologies[PART 3]Distribution
Storing[PART 4]Usage

IDS
[3-1] Dataspaces Architecture [4-1] Statistic analysis
Platform[4-2] Simulation
DATA-EX[3-2] Data-Lake,[4-3] AI
DataWare House, …
[4-4] Machine Learning[3-3] Block Chain, P2P[4-5] LLM, Generative AI[3-4] Trust, Security…
[3-5] Open Data…
[1-1] “What is Data?”[1-4] Web Technologies[1-2] Data FormatBasics of Data Technologies[1-5] Multimedia Technologies[1-3] Semantics of Data
[1-6] Database (RDB, NoSQL, …)

53

(C) 2024 Noboru Koshizuka, All Rights Reserved.

2024/3/11

Example of Web-based “Data Science Training Program”

54

(C) 2024 Koshizuka-Lab., All Rights Reserved
http://www.koshizuka-lab.org/
This presentation is based on results obtained from “Research and Development Project of the Enhanced Infrastructures for Post 5G Information andCommunication Systems” (JPNP20017), commissioned by the New Energy and Industrial Technology Development Organization (NEDO).

55