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)
