日本データベース学会の皆様
早稲田大学の山名です。
日本データベース学会の皆様
早稲田大学の山名です。
2023年6月26日〜30日の間、米国テネシー州ナッシュビル市で開催されるIEEE International Conference on Smart Computing (SMARTCOMP) 2023に併設実施される4つ
のワークショップについて論文を募集しておりますので、お知らせします。
いずれも、4月1日が論文投稿締切(以下では一部3/20となっておりますが、4/1となる予定です)となっております。
ナッシュビルは、米国の中でも早くからスマートシティ化を進めている都市です。
IoTセキュリティ、ビッグデータ、スマート農業、スマートサービス、センサー等に関連するご投稿をお待ちしております。
ワークショップ一覧:
The 7th IEEE International Workshop on Big Data and IoT Security in Smart Computing
The 2nd International Workshop on Smart Agriculture for the environmental emergency
The 8th IEEE Workshop on Smart Service Systems
The 9th IEEE International Workshop on Sensors and Smart Cities - SSC 2023
********* This is a joint CFP of SMARTCOMP 2023 Workshops ************
CALL FOR PAPERS - The 7th IEEE International Workshop on Big Data and IoT Security
in Smart Computing
During SMARTCOMP 2023 (June 26, 2023, Nashville, Tennessee)
https://www-yama-info-waseda-ac-jp/en/bits2023
Call for Papers
Smart computing aims at improving the quality of life and experience in modern society and
represents the next wave of computing- Key technologies for realizing smart computing
include sensing, IoTs, mobile and pervasive computing, cyber-physical-social systems, big
data, machine learning, data analytics, and social and cognitive computing- Smart
computing helps to solve a wide variety of societal challenges related to transportation,
energy, healthcare, finance, disaster management, and so on-
At the core of all such systems and applications, critical issues include security, privacy,
reliability, resiliency, robustness, and efficiency- Indeed, to boost the development of big
data applications in smart computing, data security, data traceability as well as efficiency are
extremely important-
After successful previously holding three IEEE International Workshops on Big Data and
IoT Security in Smart Computing (IEEE BITS 2017/2018/2019/2020/2021/2022), the 7th
workshop, IEEE BITS 2023, will be held focusing on theories and implementations of
security, privacy, reliability, resiliency, and robustness secure computing and efficient data
management in Cloud/IoT environment- BITS is a full-day workshop that is going to be
organized in conjunction in conjunction with the 9th IEEE International Conference on
Smart Computing (SmartComp2023) in June 2023-
The topics to be addressed at BITS2023 will include but are not limited to, theoretical or
practical aspects of big data and IoT in smart computing and cyber-physical systems- Papers
describing experience on real prototype implementations are also welcome- Submissions
should be targeted to one of the following sub-topics:
- Anonymity for big data
- Big data management and its efficiency in Smart Computing
- Cloud security and privacy policies
- Data traceability for big data
- Distributed systems security
- Encryption theory and its implementations for big data
- IoT services and applications in Smart Computing
- Legal study for big data
- Machine learning in Smart Computing
- Privacy risk assessment
- Secure computation for big data
- Security management
- Side-channel attacks in Smart Computing
- Trust, security, privacy, and data provenance issues in Smart Computing
- Privacy issues for big data
- Security and privacy issues in various smart computing applications such as transportation,
energy, environmental, smart city, healthcare, and social media
Submission Guidelines:
Paper submissions should be no longer than 6 pages and formatted according to the IEEE
conference template- Papers must be submitted electronically as PDF files through EDAS
by selecting the BITS2023 track-
All submitted papers will be subject to peer reviews by Technical Program Committee
members and other experts in the field- All presented papers will be published in the
SmartComp2023 conference proceedings and submitted to the IEEE Xplore Digital Library-
All accepted papers will be EI indexed-
IEEE conference template
Submissions must be made via EDAS: https://edas.info/newPaper.php
c=30638&track=116287
General Co-Chairs
Hayato Yamana, Waseda University, Japan
Sajal K- Das, Missouri Univ- of Science and Technology, USA
Technical Program Co-Chairs
Shameek Bhattacharjee, Western Michigan University, USA
Keiichi Yasumoto, Nara Institute of Science and Technology, Japan
Technical Program Committee
TBA
Important Dates
Paper Submission Deadline: April 1, 2023
Accepted Notification: May 3, 2023
Camera Ready Deadline: May 10, 2023
Workshop Date: during SMARTCOMP 2023
**********************************************
CALL FOR PAPERS - 2nd International Workshop on Smart Agriculture for the
environmental emergency (SmartAgr)
June 26, 2023
Vanderbilt University, Nashville, Tennessee
https://smartagr.santannapisa.it/
In conjunction with IEEE Int. Conference on Smart Computing (SMARTCOMP
2023)
The global environmental emergency, due to the fast climate changes, is heavily impacting
on human activities and life. Agriculture, as one of the main human activities, is directly
involved in meeting the needs of the growing population. It is responsible of around the 70%
of total water consumption and has heavy effects on the environment and on the land use,
increasing the pollution of natural resources (air, water, soil). Recently, agriculture was
addressed by a technology evolution where the new paradigm of Smart Agriculture guided
the introduction of technologies such as Internet of Things (IoT), wireless sensor networks,
wireless communications, remote monitoring to sustain and make more efficient the
agriculture production. The global environmental emergency solicits a further evolution of
Smart Agriculture to provide scientific and technological solutions suitable to make
agriculture more resilient to climate changes and to better address the issues related to the
protection of natural resources and to the increased need of food.
In this context, Climate-Smart Agriculture (CSA) is where smart and precise agriculture can
converge to provide scientific and technological solutions in support of the planet, human
life, and agricultural production, with a continuous attention to the environmental
emergency. Climate-Smart Agriculture can guide the evolution of agriculture, make the
intensive production more efficient and cope with the growth of a starving population,
especially in the most populated and environmentally stressed areas and where natural
resources (soil, water and biodiversity) are drastically jeopardized.
Smart Agriculture, treasuring the technology evolution in the field of Pervasive Computing,
IoT, Artificial Intelligence, embedded systems etc. and the new perspective introduced by
CSA can answer the aforementioned needs, improving the productivity and the
environmental sustainability and preserving natural resources. It can drive the evolution of
the agriculture and reorienting the focus on the Three Pillars of CSA as stated by the FAO:
- sustainably increasing agricultural productivity and incomes,
- adapting and building resilience to climate change,
- reducing and/or removing greenhouse gas emissions, where possible.
These pillars outline the direction of action regarding the FAO Strategic Framework
2022-2031 based on the Four Betters: better production, better nutrition, a better
environment and a better life for all, leaving no one behind.
The 2nd International Workshop on Smart Agriculture for the environmental emergency
(SmartAgr) investigates the design, implementation, and assessment of innovative
technological solutions, including new paradigms, methods, systems, and tools to ensure the
implementation of Smart Agriculture to face off the environmental emergency.
SmartAgr is an interdisciplinary, multi-national initiative to gather electrical and
telecommunication engineers, computer scientists, agronomists, biotechnologists to present
new pervasive computing and embedded systems, communication and networking solutions
and devices to meet the aforementioned challenges. The workshop invites and calls for
participation both representatives of academia and industry across the world interested in
discussing on the last evolution of Smart Agriculture with a focus on the environmental
emergency. From this point of view the workshop can provide a place where to profitably
exchange ideas, present applications and solutions taking advantage from the heterogeneity
of the contributors to encourage the cross-fertilization of ideas and competencies.
The papers should address forefront research and development in Smart Agriculture with a
particular focus on, but is not limited to, the following topics:
- Pervasive computing and embedded systems solutions enabling Smart Agriculture
to face off environmental emergency.
- Artificial intelligence in Smart Agriculture with attention to the environmental
emergency.
- Communications and networking technologies supporting Smart Agriculture
systems and solutions to preserve natural resources and improve productivity.
- New solutions, systems, models, applications to reduce CO2 emissions.
- Technologies and applications to sustainably increase agricultural productivity and
resilience to climate changes.
- Technologies and application to preserve natural resources (soil, water, and
biodiversity).
Each accepted paper requires a full SMARCOMP registration and will be included and
indexed in the IEEE digital libraries (Xplore) and in Scopus Database.
IMPORTANT DATES:
Submission Deadline: April 1, 2023
Acceptance Notification: May 3, 2023
Camera Ready Submission: May 10, 2023
Submissions must be made via EDAS: https://edas.info/newPaper.php
c=30639&track=116549
Organizers and Workshop Chairs
Anna Lina Ruscelli, Scuola Superiore Sant’Anna, Pisa, Italy
Gabriele Cecchetti, Scuola Superiore Sant’Anna, Pisa, Italy
Technical Program Committee
Mohammad Banat, Jordan University of Technology, Irbid, Jordan
Carmelo Di Franco, Aitronik, Italy
Anil Kumar Gupta, Centre for Development of Advanced Computing, Pune University
Campus, India
Yining Liu, Guilin University of Electronic Technology, China
Mukhtar Mohamed Edris Mahmoud, University of Kassala, Sudan and Puntland State
University, Somalia
Joel Onyango, Climate Resilient Economies Programme, African Centre for Technology
Studies, Kenya
Ana Paula Silva, Instituto Politecnico de Castelo Branco - Escola Superior de Tecnologia,
Portugal
Daniele Sarri, University of Florence, Italy
Nicola Silvestri, University of Pisa, Italy
Lina Stankovic, University of Strathclyde, United Kingdom
**************************************************
CALL FOR PAPERS - Eighth IEEE Workshop on Smart Service Systems (SmartSys 2023)
Co-located with the IEEE International Conference on Smart Computing (SMARTCOMP
2023)
Nashville, Tennessee, USA, June 26th, 2023
http://smartsys2023.dii.unipi.it/
Technology succeeds when it provides benefits to the society either directly or indirectly.
Understanding the societal and economic impact and human-centered aspects of a smart
system or technology in advance and designing the system a priori with potential
value-added services help spur the discoveries of new tools, methodologies and innovative
services. Smart service systems span across a variety of socio-technical facets comprising of
devices, people, organizations, environments and technologies to sense, actuate,
control and assess the physical, cyber and societal artifacts of the human service systems.
Besides the systems being self-adaptive and fault-tolerant, need to be designed in such a way
that it can continuously increase the quality and productivity, the compliance and
sustainability of the smart services it offers. While human-centered perspective and
cognitive learning help create multi-facet value added services and catalyze the sustained
economic growth of smart service systems, understanding the multi-modal sensing,
control, heterogeneity and interdependency between different physical, virtual and logical
components of such a complex system will enable the realization of new transformative
smarter service systems. If successful, this can help improve the quality-of-experience
of the customers, quality-of-life of the citizens and quality-of returns of the stakeholders and
investors.
Nurturing the development of smart service systems seeks for inter- and trans-disciplinary
crosscutting research threads from system and operational engineering, computer science
and information systems, social and behavioral science, computational modeling and
industrial engineering etc. The goal of this workshop is to bring together practitioners and
researchers from both academia and industry in order to have a forum for discussion and
technical presentations on the fundamental knowledge and principles of smart
service systems that enable the value co-creation in sensing, actuating, data analytics,
learning, cognition, and control of human centric cyber-physical-social systems and future of
work.
Topics of interest include, but are not limited to:
- Innovative tools, methodologies and solutions for smart service systems; example includes
personalized healthcare, smart energy,
smart cities, smart manufacturing, intelligent transportation, education, precision
medicine and agriculture, national security etc.
- Information extraction and interpretation from sensors, actuators, smart phones, wearable
devices (e.g., smart watches), and humans
- Context and situational awareness of smart service systems.
- Design of people-centric services and technologies for providing better services such as
food, transportation and places to live.
- Novel architectures and interoperable solutions for Internet of Things.
- Models and methodologies for designing systems of systems.
- Big data analytics approaches for providing better customer services, and innovating new
types of sustainable services.
- Modeling, analysis, co-production, and co-evolution of human activity, behavior and
interaction for the effective adaptation and
percolation of longitudinal smart service systems.
- Role of machine learning, artificial intelligence, robotics, pervasive computing, blockchain,
control theory, information and
communications technologies.
- Role of formal methods in computer networks, cyber-physical systems, Internet-of-Things
and machine learning.
- Design and developments of intelligent systems, intelligent enterprises and
cyber-physical-social-systems.
- Design of inter-dependent complex global systems such as healthcare, smart grid,
computer networks, logistics and supply-chains,
financial markets etc.
- Smart infrastructure and testbed to support the integration of autonomous systems and
innovative applications.
- Design and implementation of analytical methods, simulation software and experimental
testbeds to evaluate the key performance
indicators of smart services.
- Design of approaches for trustworthiness of human-centered smart systems and algorithms.
IMPORTANT DATES
- Manuscript submission: 20 March 2023
- Paper acceptance notification: 20 April 2023
- Camera-ready paper submission: 10 May 2023
- Workshop: 26 June 2023
SUBMISSION INSTRUCTIONS
Authors are invited to submit regular (full) papers for presentation at the workshop,
describing original, previously unpublished work,
which is not currently under review by another workshop, conference, or journal. Regular
papers should present novel perspectives within
the general scope of the workshop.
Papers may be no more than 6 pages in length. Papers in excess of page limits shall not be
considered for review or publication.
All papers must be typeset in double-column IEEE format using 10pt fonts on US letter
paper, with all fonts embedded. The IEEE LaTeX and
Microsoft Word templates, as well as related information, can be found at the IEEE
Computer Society website.
Papers must be submitted electronically as a single PDF file on US Letter size paper (not
A4), with all fonts embedded (the PDF-A standard
complies with that). Prior to submission, ensure that any running headers/footers, page
numbering, as well as blue underlining for URLs
and email addresses has been removed.
Submissions must be made via EDAS: https://www.edas.info/newPaper.php c=30637
Please note that each accepted paper will require a full SMARTCOMP registration (no
registration is available for workshops only).
ORGANIZING COMMITTEES
Workshop Co-Chairs:
- Nirmalya Roy, University of Maryland, Baltimore County, USA
- Carlo Vallati, University of Pisa, Italy
- Gurdip Singh, George Mason University, USA
Technical Program Co-Chairs:
- Giovanni Nardini, University of Pisa, Italy
- Sreenivasan Ramasamy Ramamurthy, Bowie State University, USA
Publicity Co-Chairs:
- Kuldeep Kurte, Oak Ridge National Laboratory, USA
- Raffaele Zippo, University of Pisa, Italy
***********************
CALL FOR PAPERS - Ninth IEEE International Workshop on Sensors and Smart Cities -
SSC 2023
June 26, 2023, Vanderbilt University, Nashville, Tennessee.
http://ssc2023.unime.it
To be held in conjunction with
Ninth IEEE International Conference on Smart Computing (SMARTCOMP 2023)
A smart city represents an improvement of today’s cities both functionally and structurally,
that strategically utilizes many smart factors, such as information and communications
technology (ICT), to increase the city’s sustainable growth and strengthen city functions,
while ensuring citizens’ quality of life and health. Cities can be viewed as a microcosm of
“objects” with which citizens interact daily: street furniture, public buildings, transportation,
monuments, public lighting and much more. Moreover, a continuous monitoring of a city’s
status occurs through sensors and processors applied within the real-world infrastructure.
The Internet of Things (IoT) concept imagines all these objects being “smart”, connected to
the Internet, and able to communicate with each other and with the external environment,
interacting and sharing data and information. Each object in the IoT can be both the
collector and distributor of information regarding mobility, energy consumption, air
pollution as well as potentially offering cultural and tourist information. As a consequence,
cyber and real worlds are strongly linked in a smart city. New services can be deployed when
needed and evaluation mechanisms will be set up to assess the health and success of a smart
city.
The aim of this workshop is to bring together innovative developments in areas related to
sensors and smart cities, including but not limited to:
computing and sensing infrastructures
cost (of node, energy, development, deployment, maintenance)
communication (security, resilience, low energy)
adaptability (to environment, energy, faults)
data processing (on nodes, distributed, aggregation, discovery, big data)
self-learning (pattern discovery, prediction, auto-configuration)
deployment (cost, error prevention, localization)
maintenance (troubleshooting, recurrent costs)
applications (both new and enjoying new life)
smart users experience
trust and privacy
crowdsourcing, crowdsensing, participatory sensing
cognition and awareness
cyber-physical systems
smart tourism
Both review articles and original research papers relating to sensors and smart cities are
solicited. There is particular interest for papers with advances towards practical experiences
and services overcoming the adoption barriers for sensors and smart cities.
Submission Guidelines
Paper submissions should be no longer than 6 pages with a font size of 10 using the IEEE
conference template (https://www.ieee.org/conferences/publishing/templates.html).
Papers must be submitted electronically as PDF files. All submitted papers will be subject to
single blind peer reviews by Technical Program Committee members and other experts in
the field. All presented papers in the conference will be published in the proceedings of the
conference and submitted to the IEEE Xplore Digital Library. Authors are requested to first
register their submissions and submit their manuscripts in PDF format via EDAS. Note that
at least one author of each accepted paper must register and attend the workshop to present
the paper. Failure to present the paper at the workshop will result in the withdrawal of the
paper from the Proceedings.
Submissions must be made via EDAS: https://edas.info/newPaper.php
c=30637&track=116283
Important dates
Manuscript submission: 20 March, 2023
Paper acceptance notification: 20 April, 2023
Camera-ready paper submission: 10 May 2023
Contacts
Please feel free to contact the Workshop Co-Chairs (dbruneo(a)unime.it,
apuliafito65(a)gmail.com) for more information.
Workshop Co-Chairs
Dario Bruneo, University of Messina, Italy
Antonio Puliafito, University of Messina, Italy
TPC Co-Chairs
Carlo Puliafito, University of Pisa, Italy
Fabrizio De Vita, University of Messina, Italy
Publicity Chair
TBA
Technical Program Committee
TBA
*******************************************
日本データベース学会の皆さま 早稲田大学の酒井と申します。
NTCIR-17 FairWeb-1 (グループフェアネスを考慮したウェブ検索タスク)
の参加案内を共有させていただきます。
タスク参加登録締切は4/15です。ご検討いただければ幸いです。
日本語の情報(日付等、改訂前のものですが)はこちら にございます。
https://waseda.box.com/webdb2022fairweb1https://waseda.box.com/webdb2022fairweb1slides
***
SECOND CALL FOR TASK PARTICIPATION: NTCIR-17 FairWeb-1 Task (Registration due April 15, 2023 AoE)
http://sakailab.com/fairweb1/
# Overview
Intro slide deck: https://waseda.box.com/fairweb1intro2023feb
The FairWeb-1 task is a new English web search task that considers both relevance and group fairness.
Each of our search topic seeks information about specific entity types: R (researher), M (movies), and Y (YouTube contents); accordingly, we have four topic types:
R-topics (e.g., information retrieval researchers)
M-topics (e.g., Daniel Craig 007 movies)
Y-topics (e.g., Coldplay covers on YouTube)
For evaluating group fairness, we consider the following attribute sets containing either ordinal or nominal groups:
R-topics: h-index (ordinal) AND gender (nominal)
M-topics: #ratings on IMDb (ordinal) AND geographic region (nominal)
Y-topics: #subscribers of the YouTube account (ordinal)
For R- and M-topics, we will evaluate intersectional groupfairness.
For example, for each R-topic, we want the search engine result page (SERP)
to contain information about researchers with varying levels of h-index (not just high h-index people), AND with different genders (not just "men").
# Task input/ouput
INPUT:
- a search topic (R, M, or Y)
- attribute set(s) and target distribution(s)
OUTPUT:
- a TREC-style run (a SERP for each topic)
# Evaluation method
We will use the Group Fairness and Relevance (GFR) framework: please see the slide deck for details.
# Timeline
February 15, 2023 Pilot relevance assessments for the sample topics and a few pilot runs released
February 1-March 10, 2023 Topic development
March 15, 2023 Topics released
April 15, 2023 Task registrations due
May 16, 2023 Run submissions due
May 17-July 31, 2023 Entity annotations; runs evaluated
August 1, 2023 Evaluation results and draft overview released
September 1, 2023 Draft participant papers due
November 1, 2023 Camera ready papers due
December 2023 NTCIR-17@NII, Tokyo, Japan
# Inquiries:
fairweb1org(a)list.waseda.jp
# Organisers:
Sijie Tao, Nuo Chen, Tetsuya Sakai (Waseda University, Japan)
Zhumin Chu (Tsinghua University, P.R.C.)
Nicola Ferro (University of Padua, Italy)
Maria Maistro (University of Copenhagen, Denmark)
Ian Soboroff (NIST, USA)
Hiromi Arai (RIKEN AIP, Japan)
###
Professor Tetsuya Sakai (tetsuya(a)waseda.jp)
Department of Computer Science and Engineering, Waseda University
http://sakailab.com/tetsuya/
※重複して受け取られましたらご容赦ください.
関連研究者のみなさま,
名古屋大学の東中です.
すでにご案内しております Advanced Robotics 誌の
"Multimodal Processing and Robotics for Dialogue Systems"の特集号の投稿締切
を2023年1月31日としておりましたが,多数の締切延長やお問い合わせがございまし
たので,締切を1ヶ月延長いたします.
投稿締切:2023年2月28日
特集号URL:
https://think.taylorandfrancis.com/special_issues/advanced-robotics-multimo…
奮ってご投稿ください.よろしくお願いいたします.
/////////////////////////////////////////////////////////////////////////
[Call for Papers]
Advanced Robotics Special Issue on
Multimodal Processing and Robotics for Dialogue Systems
Co-Editors:
Prof. David Traum (University of Southern California, USA)
Prof. Gabriel Skantze (KTH Royal Institute of Technology, Sweden)
Prof. Hiromitsu Nishizaki (University of Yamanashi, Japan)
Prof. Ryuichiro Higashinaka (Nagoya University, Japan)
Dr. Takashi Minato (RIKEN/ATR, Japan)
Prof. Takayuki Nagai (Osaka University, Japan)
Publication in Vol. 37, Issue 21 (Nov 2023)
SUBMISSION DEADLINE: 28 Feb 2023
In recent years, as seen in smart speakers such as Google Home and Amazon
Alexa, there has been remarkable progress in spoken dialogue systems
technology to converse with users with human-like utterances. In the future,
such dialogue systems are expected to support our daily activities in
various ways. However, dialogue in daily activities is more complex than
that with smart speakers; even with current spoken dialogue technology, it
is still difficult to maintain a successful dialogue in various
situations. For example, in customer service through dialogue, it is
necessary for operators to respond appropriately to the different ways of
speaking and requests of various customers. In such cases, we humans can
switch the speaking manner depending on the type of customer, and we can
successfully perform the dialogue by not only using our voice but also our
gaze and facial expressions.
This type of human-like interaction is far from possible with the existing
spoken dialogue systems. Humanoid robots have the possibility to realize
such an interaction, because they can recognize not only the user's voice
but also facial expressions and gestures using various sensors, and can
express themselves in various ways such as gestures and facial expressions
using their bodies. Their many means of expressions have the potential to
successfully continue dialogue in a manner different from conventional
dialogue systems.
The combination of such robots and dialogue systems can greatly expand the
possibilities of dialogue systems, while at the same time, providing a
variety of new challenges. Various research and development efforts are
currently underway to address these new challenges, including "dialogue
robot competition" at IROS2022.
In this special issue, we invite a wide range of papers on multimodal
dialogue systems and dialogue robots, their applications, and fundamental
research. Prospective contributed papers are invited to cover, but are not
limited to, the following topics on multimodal dialogue systems and robots:
*Spoken dialogue processing
*Multimodal processing
*Speech recognition
*Text-to-speech
*Emotion recognition
*Motion generation
*Facial expression generation
*System architecture
*Natural language processing
*Knowledge representation
*Benchmarking
*Evaluation method
*Ethics
*Dialogue systems and robots for competition
Submission:
The full-length manuscript (either PDF file or MS word file) should be sent
by 28th Feb 2023 to the office of Advanced Robotics, the Robotics Society of
Japan through the on-line submission system of the journal
(https://www.rsj.or.jp/AR/submission). Sample manuscript templates and
detailed instructions for authors are available at the website of the
journal.
Note that word count includes references. Captions and author bios are
not included.
For special issues, longer papers can be accepted if the editors approve.
Please contact the editors before the submission if your manuscript exceeds
the word limit.
日本データベース学会の皆様,
阪大の鬼塚です.
SIGMODに併設のワークショップで
Simplicity in Management of Data (SiMoD)
というワークショップが始まります(第一回目).
近年の論文でのシステムは複雑な内容になりがちであるため,逆の発想に立って
シンプルで重要なコアアイデアの論文を募集することを主眼としているそうです(simple
ideas that work well in practice).
アイデア論文と実験論文を募集していて,特にアイデア論文は4ページと短いです.
*Novel Ideas (up to 4 pages):*Papers in this track should present
early-stage, original ideas that were not proposed in the past. The
submission should be concise and distill the core idea on specific
problems being solved, with reasonable evidence (e.g., preliminary
experimental results) showing the idea's applicability. We also
encourage the authors to include the limitations of the proposed ideas.
Submissions in this track should not exceed four pages, including
everything, such as references.
投稿締め切りは 3/15 です.詳しくはワークショップページをご確認ください.
https://sfu-dis.github.io/simod/
--
Makoto Onizuka(鬼塚 真)
E-mail:onizuka@ist.osaka-u.ac.jp
TEL: 06-6879-7750/FAX:06-6879-7743
URL:http://www-bigdata.ist.osaka-u.ac.jp/
〒565-0871 大阪府吹田市山田丘 1-5 大阪大学大学院 情報科学研究科
マルチメディア工学専攻 ビッグデータ工学講座(鬼塚研究室)
日本データベース学会の皆様,
お世話になっております.筑波大学の塩川です.
グラフデータ管理・分析に関するワークショップGRADES-NDAの
論文募集についてご案内いたします.例年と同様にSIGMOD2023
の併設ワークショップとして開催される予定です.
詳細は下記をご参照下さい.
-----------------------------------------------------------------------------
Call for submissions
GRADES-NDA 2023
6th Joint Workshop on Graph Data Management Experiences & Systems
(GRADES) and Network Data Analytics (NDA)
In conjunction with SIGMOD/PODS 2023.
Sunday June 18, Seattle, WA, USA.
Workshop Website:
https://gradesnda.github.io/
Deadlines: March 15, 2023 (Abstracts), March 22, 2023 (Papers)
-----------------------------------------------------------------------------
*** FOCUS AND GOALS ***
The GRADES-NDA workshop focuses on the application areas, usage
scenarios and open challenges in managing large-scale graph-shaped data.
The workshop is a forum for exchanging ideas and methods for mining,
querying and learning with real-world network data, developing new
common understandings of the problems at hand, sharing of data sets and
benchmarks where applicable, and leveraging existing knowledge from
different disciplines. Additionally, considering specific techniques
(e.g., algorithms, data/index structures) in the context of the systems
that implement them, rather than describing them in isolation,
GRADES-NDA aims to present technical contributions inside graph, RDF and
other data management systems on graphs of a large size (many millions
of nodes and beyond).
The goal of GRADES-NDA is to bring together researchers from academia,
industry, and government, to create a forum for discussing recent
advances in (large-scale) graph data management and analytics systems,
as well as propose and discuss novel methods and techniques towards
addressing domain specific challenges, or handling noise in real-world
graphs.
The workshop will be of interest to researchers in the development of
novel data-management applications and systems for large-scale graph
analytics. More specifically, the intended audience are, but not limited
to, academic and industrial computer scientists interested in databases
and data mining, machine learning, data streaming, graph theory and
algorithms. Along with novel research work, we encourage submissions
with demonstrations and case studies from real-life experiences in
various domains such as Social Networks, Biological Network Data,
Marketing and Media, Business Data Analysis, Healthcare Data,
Cybersecurity etc.
*** WORKSHOP TOPICS ***
Topics of interest include but are not limited to the following.
* Graph query languages, visualization techniques and querying
interfaces, and their effective realization
* Graph platform and parallel platforms, e.g., Flink/Gelly, Titan,
SPARK/GraphX, GraphLab/PowerGraph, Giraph, GraphChi etc.
* Network data representation, storage, indexing and querying methods
* Experiences or techniques for graph specific operations such as
traversals or inference/reasoning in the context of large data sets and
on the systems that implement those operations
* RDF data management and analytics
* Dynamic Graphs: managing graph updates; graph stream analytics;
analyzing evolution and detection of community structures in real-world
evolving graphs
* Mining and machine learning on heterogeneous networks -- knowledge
graphs etc.
* Graph summarization and sampling
* Game Theory, Social contagion and Information propagation on networks
* Analytics on dirty, noisy, or uncertain graphs
* Spatial and temporal graph analytics
* Analytics on social, biological, retail, marketing, customer care,
financial, healthcare, transportation network data sets
* Descriptions of graph data management use cases and query workloads,
and experiences with applying data management technologies in such
situations
* Vision and systems papers describing potential or real applications
and benefits of graph management
*** IMPORTANT DATES ***
* Abstract Submission: March 15, 2023
* Paper Submission: March 22, 2023
* Notifications: April 19, 2023
* Camera Ready Submission: May 3, 2023
* Workshop Date: June 18, 2023
All deadlines are 23:59 Hours AoE
*** WORKSHOP ORGANIZERS ***
Olaf Hartig, Amazon Web Services & Linköping University, Sweden
Yuichi Yoshida, National Institute of Informatics, Japan
Contact email: gradesnda2023(a)easychair.org
*** STEERING COMMIITTEE ***
Semih Salihoglu, University of Waterloo, Canada
Vasiliki Kalavri, Boston University, US
Akhil Arora, EPFL, Switzerland
George Fletcher, TU Eindhoven, The Netherlands
*** FURTHER DETAILS ***
More information, including submission guidelines, can be found on the
workshop website:
https://gradesnda.github.io/
---
Hiroaki Shiokawa, Ph.D
University of Tsukuba
Email: shiokawa(a)cs.tsukuba.ac.jp
※重複してお受け取りの際はご容赦ください.
関連研究者の皆様,
名古屋大学の東中です.
締め切りまで約一か月と迫りましたので,再度
Advanced Robotics (Taylor&Francis)ジャーナルの特集号
"Multimodal Processing and Robotics for Dialogue Systems"
のご案内をさせていただきます.〆切は2023/1/31 です.
https://think.taylorandfrancis.com/special_issues/advanced-robotics-multimo…https://www.rsj.or.jp/content/files/pub/ar/CFP/CFP_37_21.pdf
皆様からのご投稿をお待ちしています.
もし周りのご興味をお持ちの方がいらっしゃいましたら,
本メールをぜひ転送ください.
よろしくお願いいたします.
/////////////////////////////////////////////////////////////////////////
[Call for Papers]
Advanced Robotics Special Issue on
Multimodal Processing and Robotics for Dialogue Systems
Co-Editors:
Prof. David Traum (University of Southern California, USA)
Prof. Gabriel Skantze (KTH Royal Institute of Technology, Sweden)
Prof. Hiromitsu Nishizaki (University of Yamanashi, Japan)
Prof. Ryuichiro Higashinaka (Nagoya University, Japan)
Dr. Takashi Minato (RIKEN/ATR, Japan)
Prof. Takayuki Nagai (Osaka University, Japan)
Publication in Vol. 37, Issue 21 (Nov 2023)
SUBMISSION DEADLINE: 31 Jan 2023
In recent years, as seen in smart speakers such as Google Home and
Amazon Alexa, there has been remarkable progress in spoken dialogue
systems technology to converse with users with human-like utterances.
In the future, such dialogue systems are expected to support our daily
activities in various ways. However, dialogue in daily activities is
more complex than that with smart speakers; even with current spoken
dialogue technology, it is still difficult to maintain a successful
dialogue in various situations. For example, in customer service
through dialogue, it is necessary for operators to respond
appropriately to the different ways of speaking and requests of
various customers. In such cases, we humans can switch the speaking
manner depending on the type of customer, and we can successfully
perform the dialogue by not only using our voice but also our gaze and
facial expressions.
This type of human-like interaction is far from possible with the
existing spoken dialogue systems. Humanoid robots have the possibility
to realize such an interaction, because they can recognize not only
the user's voice but also facial expressions and gestures using
various sensors, and can express themselves in various ways such as
gestures and facial expressions using their bodies. Their many means
of expressions have the potential to successfully continue dialogue in
a manner different from conventional dialogue systems.
The combination of such robots and dialogue systems can greatly expand
the possibilities of dialogue systems, while at the same time,
providing a variety of new challenges. Various research and
development efforts are currently underway to address these new
challenges, including "dialogue robot competition" at IROS2022.
In this special issue, we invite a wide range of papers on multimodal
dialogue systems and dialogue robots, their applications, and
fundamental research. Prospective contributed papers are invited to
cover, but are not limited to, the following topics on multimodal
dialogue systems and robots:
*Spoken dialogue processing
*Multimodal processing
*Speech recognition
*Text-to-speech
*Emotion recognition
*Motion generation
*Facial expression generation
*System architecture
*Natural language processing
*Knowledge representation
*Benchmarking
*Evaluation method
*Ethics
*Dialogue systems and robots for competition
Submission:
The full-length manuscript (either PDF file or MS word file) should be
sent by 31st Jan 2023 to the office of Advanced Robotics, the Robotics
Society of Japan through the on-line submission system of the journal
(https://www.rsj.or.jp/AR/submission). Sample manuscript templates and
detailed instructions for authors are available at the website of the
journal.
Note that word count includes references. Captions and author bios are
not included.
For special issues, longer papers can be accepted if the editors approve.
Please contact the editors before the submission if your manuscript
exceeds the word limit.
DB Japanの皆様
JAXA宇宙科学研究所の海老沢です。
2023(令和5)年2月17 日(金)に開催予定の宇宙科学情報解析シンポジウムの講演を募集いたします。
多くの方々の申し込みをお待ちしています。
<日本語での案内文は英文のあとにあります>
Announcement of the Symposium on Space Science Informatics in 2022
The Symposium on Space Science Informatics in 2022 will be held as follows;
Date: February 17, 2023
Time: 10:00-18:00(planned)
Place: Hybrid(Online/face to face, Subject to change depending on circumstances.)
Language: basically Japanese
Details: http://www.isas.jaxa.jp/researchers/symposium/infoana/ (in Japanese)
Application for presentation:
Deadline: February 3, 2023
Web site: https://www.qs-conductor.com/JAXA_CIS/login.aspx (in Japanese)
Contact: plainsympo AT c-soda.isas.jaxa.jp
Purpose of the symposium:
In recent years, in various fields of space science, it has become possible to acquire a vast amount of data compared to before due to the increase in the size of observation devices and computers. For that reason, how to efficiently process and analyze large-scale data and extract necessary information is becoming a new issue in producing excellent scientific results from observations. With the spread of digital technology, space science data has become widely used in fields other than research. On the other hand, in the field of information technology, the development of visualization technology such as VR, AR and MR is remarkable and not only new research methods but also lifestyles are being created. The development of data science is also remarkable and, in addition to data mining technology for large-scale data, new data processing technologies such as machine learning, deep learning, and artificial intelligence, and attempts to create knowledge are being made energetically.
In view of this situation, JAXA/ISAS holds the symposium every year as a place to present interdisciplinary results related to science and technology as follows: processing, analysis, and utilization of space science data, database and system development/operation technology, simulation and data visualization, etc. It should be a place for valuable and active information exchange between researchers and engineers in the peripheral fields who usually have few opportunities to interact.
We look forward to your participation.
2022(令和4)年度「宇宙科学情報解析シンポジウム」開催のお知らせ
近年、宇宙科学における様々な分野においては、観測装置や計算機の大型化によって以前に比べて飛躍的に大量のデータを取得することが可能になってきています。
そのため、観測からすぐれた科学的成果を産出するにあたって、大規模データをいかに効率良く処理・解析し必要な情報を引き出せるかが新たな課題となりつつあります。
また、デジタル技術の普及に伴い、宇宙科学データが研究以外の分野でも広く利用されるようになってきています。
一方、情報技術の分野では、VR、AR、MRなど新しい可視化技術の発展と3次元可視化を活用した新たなデータ可視化の進展、データ科学においては大規模データの
データマイニング技術のみならず、機械学習や深層学習、人工知能など、新たなデータ処理技術、知の創造の試みが精力的に行われています。
そのような状況を鑑み、JAXA宇宙科学研究所では、宇宙科学データに関する新しい処理・解析・利用の手法、データベースやそれを応用したシステムの構築・運用技術、
シミュレーションやデータ可視化など、宇宙科学、情報科学、それらを支える情報技術等に関わる学際的成果発表の場として、表記シンポジウムを毎年開催しています。
普段は接する機会の少ない周辺分野の研究者・技術者間の貴重で活発な情報交換の場となっています。
多数の皆様のご参加をお待ちしております。
日時: 2023(令和5)年2月17 日(金) 10:00-18:00 (予定)
場所: ハイブリッド開催(オンライン/対面、状況によっては変更される可能性があります)
プログラム概要:
○招待講演
○一般セッション
発表申し込み締切:2023(令和5)年2月3日(金)
発表申し込み方法:
発表をご希望される方は以下のURLよりお申し込み下さい。
https://www.qs-conductor.com/JAXA_CIS/login.aspx
シンポジウムシステム利用にあたり、ユーザ登録が必要となります。
申込みに必要な情報は、タイトル、発表者情報、共著者情報、アブストラクト(200字程度)などになります。詳細は利用者マニュアルをご参照ください。
なお、既に本システムをご利用の方は同じID,PWをご使用下さい。
シンポジウムのプログラム編成の都合上、申込時のご希望とは異なるセッションでの講演をお願いする場合がありますので、ご了承ください。
発表資料:
シンポジウム発表資料は、JAXAリポジトリに登録、インターネット上で公開することを原則とさせて頂きます。そのため、ご登録前に発表資料を
公開することについて同意していただく必要があります。また、そのことにより、学会誌等への投稿が制限されることがありますので、予めご了承ください。
JAXAリポジトリについてhttps://jaxa.repo.nii.ac.jp/
過去の宇宙科学情報解析シンポジウムのプログラム・発表資料については、
https://jaxa.repo.nii.ac.jp/index.php?action=pages_view_main&active_action=…
をご覧ください。
宇宙科学情報解析論文誌:
シンポジウムの収録は査読付きの「宇宙科学情報解析論文誌」(英語名:Journal of Space Science Informatics Japan、宇宙航空研究開発機構研究開発報告、ISSN 1349-1113)
として出版予定です。この論文誌は「JAXAリポジトリ」
https://jaxa.repo.nii.ac.jp/index.php?action=pages_view_main&active_action=…
よりオンラインで参照可能になります。掲載論文毎に専用ページ(パーマリンク)が設定され、別刷りもPDFで公開されますので、研究に活用していただくことができます。
お問い合わせ:
plainsympo AT c-soda.isas.jaxa.jpまでお願い致します。
世話人代表 高木、代理送信 海老沢
-----------------------
Ken EBISAWA (ISAS/JAXA)
日本データベース学会のみなさま
京都大学 杉山と申します。
1週間前になりましたので、再度ご案内致します。
ACM SIGIR 東京支部では、「12月13日 17時」から、
Suppawong Tuarob 准教授 (Mahidol University, Thailand) をお招きし、
"Faster, Sooner, Cheaper: Can Social Media Reflect Real-World Phenomena?"
というタイトルで、ご講演いただきます。
詳細は、以下のとおりです。どなたでも無料で参加できますが、以下のURLから
事前登録をお願い致します。
多くのみなさまのご参加を、お待ちしております。
----------
題目 (Title): "Faster, Sooner, Cheaper: Can Social Media Reflect Real-World
Phenomena?"
講演者 (Speaker): Suppawong Tuarob (Mahidol University, Thailand)
日時 (Date): 2022年12月13日 17:00-18:00 (December 13th, 2022, 17:00-18:00)
場所 (Venue): Zoomによるオンライン (Online via Zoom)
* 以下の事前登録フォームから、12月12日17:00までに、参加者の情報をご記入ください。
後ほど、ご登録いただいた電子メールアドレスに、Zoom URLをお送り致します。
(Please register your information via the following registration form by
December 12th, 17:00 (JST).
We will send Zoom URL to your e-mail address later.)
https://docs.google.com/forms/d/e/1FAIpQLSeoQnokmaK_GcMZ5YwwfFcoS2pC-0PGulK…
概要 (Abstract):
Globally, online communities generate enormous volumes of data every day.
A common use of social networks is to give a timely and cost-effective
means of reflecting on real-world events. Although the applications of
information derived from social networks are numerous, only a tiny
portion of them are committed to improving society. For instance,
real-time analysis of Twitter data has been used to model earthquake
warning detection systems, identify medical and emergency needs during
recovery from natural disasters (such as the Haiti Earthquake), detect
the spread of influenza-like illnesses, and uncover abusive behaviors
in social networks. In addition, several studies have examined the use of
social media to monitor population-wide and individual health in the real
world, including drinking issues, epidemics, drug misuse, and mental
illness. Numerous research has shown that social media might be utilized
to track depression and public conversation during the COVID-19 epidemic.
This talk will examine applications that establish online social networks
as viable information sources for estimating real-world phenomena.
略歴(Biography):
Suppawong Tuarob received his PhD in computer science and engineering
and MS in industrial engineering from the Pennsylvania State University
and his BSE and MSE in computer science and engineering from the University
of Michigan-Ann Arbor. Currently, he is an Associate Professor of Computer
Science at Mahidol University, Thailand. His research involves data mining
in large-scale scholarly, social media, and healthcare domains.
対象(Target Audience):
ACM SIGIR 東京支部会員、一般
(Member of Tokyo ACM SIGIR Chapter, Public audience)
主催(Organizer):
本セミナーは、ACM SIGIR 東京支部の主催です。上記のURLから事前登録をして
くだされば、どなたでも無料で参加できます。
(This seminar is organized by Tokyo ACM SIGIR Chapter. Anyone can join if
you register your information via the above registration form URL.)
-----
杉山 一成
京都大学 情報学研究科 社会情報学専攻
(総合研究12号館112号室)
E-mail: kaz.sugiyama(a)i.kyoto-u.ac.jp, zakugus(a)gmail.com
URL: http://www.db.soc.i.kyoto-u.ac.jp/~sugiyama/
みなさま:
国立情報学研究所の神門典子(かんど のりこ)と申します。
直前のご連絡で恐縮ですが、来週12月8日(木)15時より
標記の講演会をハイブリッドで開催いたします。
社会が複雑化するのしたがって、とくにCOVID-19の影響でさまざまな
生きづらさを感じやすくなっているといわれています。そのような中で、
Mental Disorderをより早い段階でSNSなどから検知することの重要性が
高まっております。今回は、eRisk (Early Detection of Mental Disorder
by Monitering Social Media)プロジェクトを2017年から主導されている
スイスUSI大学のProf Fabio Crestaniにご講演いただきます。ぜひ、奮って
ご参加ください。みなさまのご参加をお待ちしております。
--------
<日時/Data Time> Thursday, Dec. 8th, From 15:00-
<場所/Place> Room 1810, NII, and Online
オンライン参加の方は下記よりご登録ください。
講演会前日にZoomリンクをお送りします
https://forms.gle/ZJNKZneLGcF1qUYM8
<演題/TITLE> Measuring Depression in Social Media: Results from the First
5 Years of eRisk
<言語> English
<概要/ABSTRACT>
Internet provides massive amounts of data. Millions of users publish
contents and interact with one another in a daily fashion. Several
studies have shown that the words people use (also in online content)
are indicative, through distinctive linguistic patterns, of their
psychological state. In 2017, through a fortunate set of events, we
started the eRisk project. eRisk, which stands for Early Risk Prediction
on the Internet, is concerned with the early detection of signs of
psychological problems from users' posts in social media. In this talk
I give an overview of the activities of eRisk as part of CLEF (the
Conference and Lab of the Evaluation Forum) over the past few years,
with particular attention to the early detection of signs of depression.
I also discuss how for depression we passed from the early detection, to
the estimation of the level of severity, to the latest task (2023)
concerned with estimation of the individual symptoms. I conclude
summarising the lessons learned so far and pointing at what might come
next, also for other mental disorders.
<関連書籍/Related Book>
Fabio Crestani, David E. Losada, Javier Parapar (eds.)
"Early Detection of Mental Health Disorders by Social Media Monitoring:
The First Five Years of the eRisk Project"
Springer, 2022.
https://link.springer.com/book/10.1007/978-3-031-04431-1
<講演者について/About the Speaker>
Prof Fabio Crestani is a Full Professor at the Faculty of Informatics of
the Universita’ della Svizzera Italiana (USI) in Lugano, Switzerland,
since 2007. Previously he was a professor at the University of
Strathclyde in Glasgow, UK and the University of Padua, Italy. He holds
a degree in Statistics from the University of Padua (I) and a MSc and
PhD in Computing Science from the University of Glasgow.
Prof Crestani works in Information Retrieval, Text Mining and
Digital Libraries. In these areas he has published extensively on both
theoretical and experimental aspects. He also served in the organising
and program committees of several conferences and in the editorial
boards of several journals.
<参加登録フォーム/Registration Form>
https://forms.gle/ZJNKZneLGcF1qUYM8
- オンライン参加:事前に参加登録をお願いいたします。
ご登録くださった方に、講演会前日にZoomリンクをお送りいたします。
- 現地参加:事前登録なしの参加も歓迎です。ですが、
より良い準備や急な変更があった場合の連絡などのために、
できれば登録をお願いできれば幸いです
みなさまのご参加をお待ちしております
神門 典子
--
Noriko Kando
National Institute of Informatics, Japan