日本データベースの皆様
# 重複して受け取られた方はご容赦ください
いつもお世話になっております。京都工芸繊維大学の馬です。
国際会議 iiWAS 2026 の論文投稿締切が 8月1日（最終延長）
に延長されましたので、ご案内いたします。皆様からの積極的なご投稿をご検討いただけますと幸いです。
詳細については、以下の英語の案内（Call for
Papers）および会議ウェブサイトをご確認ください。また、本案内をご関係の皆様やメーリングリスト等へ展開・共有していただけますよう、ご協力のほどよろしくお願い申し上げます。
ーーー
We are glad to let you know that the paper submission deadline for iiWAS
2026, which will be held 7–9 December 2026 in Bangkok, Thailand, has been
extended to 1 August 2026.
You can find all conference information on the conference website:
https://www.iiwas.org/conferences/iiwas2026/
Paper submissions can be made through the HotCRP submission system:
https://iiwas2026.iiwas.org/
We would be delighted if you could consider submitting one or more of your
own research papers to the conference.
Below you will also find the updated Call for Papers (CFP). We would
greatly appreciate your help in distributing it among your colleagues,
collaborators, students, research groups, and any relevant mailing lists or
professional networks you may have access to. Your support in promoting the
conference is invaluable and greatly appreciated.
As we continue to develop and strengthen iiWAS, we are also looking for new
ideas and initiatives that will enrich the conference. If you would like to
organize a special session, tutorial, panel discussion, journal special
issue, invited talk, or any other activity that could add value to the
conference, we would be delighted to discuss this with you. We welcome your
suggestions and would be happy to work with you to make them happen.
iiWAS is a well-established international conference with a long and
successful history. This year, we are making a special effort to raise the
conference to an even higher level and establish it as a premier venue for
innovative research in Information Integration, Web intelligence, and
related fields. With your support and active participation, we are
confident that we can make iiWAS 2026 one of our strongest editions yet.
Thank you once again for your continued support and for serving on the
Program Committee. We truly appreciate your contributions and look forward
to working with you toward a successful iiWAS 2026.
All the best,
Ismail Khalil
Jun Miyazaki
Qiang Ma
***************************************************************************
L A S T C A L L F O R P A P E R S
***************************************************************************
The 28th International Conference on Information Integration and Web
Intelligence (iiWAS2026)
"From Data to Insight: Advancing Information Integration and Web
Intelligence for Human-Centric Decision Making"
07-09 December 2026, Bangkok, Thailand
email: iiwas2026(a)iiwas.org
Paper submission: https://iiwas2026.iiwas.org
Website: https://www.iiwas.org/conferences/iiwas2026/
**** Important Dates ****
1 August 2026 (FINAL): paper submission deadline full papers (15 pages),
short papers (6 pages)
05 September 2026: Acceptance Notifications
25 September 2026: Camera-Ready Papers and Authors Registration deadline
07 - 09 December 2026: Conference Dates
**** Publication ****
ALL accepted iiWAS2026 papers will be published by Springer in their
Lecture Notes in Computer Science (LNCS). LNCS volumes are indexed in
Scopus; EI Engineering Index; Google Scholar; DBLP; etc. and submitted for
indexing in the Conference Proceedings Citation Index (CPCI), part of
Clarivate Analytics’ Web of Science. Selected high-quality papers will be
invited to be published, after revision and extension, in special issues of
international journals.
**** SCOPE ****
Data and information are crucial in providing evidence based decision
making in many aspect of human activities, as an individual or as a group.
The way information and communication technology are used to collect,
process, analysis and store data has always evolves. New techniques are
invented, existing techniques are improved and old techniques are
integrated to the new. Each of these provided some challenges and
opportunities to our research community in finding the best way to meet
these challenges. iiWAS provides research community with the opportunity to
share and discuss their ideas.
**** Topics ****
iiWAS 2026 solicits original papers on all aspects of Web artificial
intelligence, including but not limited to:
* Semantic Web, Linked Data, and Neurosymbolic AI
* Knowledge Graphs, Graph Foundation Models, and GraphRAG
* Generative AI, Foundation Models, and Large Language Models (LLMs)
* Agentic AI, Autonomous Systems, and Multi-Agent Collaboration
* Explainable, Trustworthy, and Responsible AI
* Human-AI Collaboration and Augmented Intelligence
* Multimodal AI and Cross-Modal Information Integration
* Retrieval-Augmented Generation (RAG) and Intelligent Knowledge Retrieval
* AI for Web Intelligence, Search, and Personalized Information Systems
* Federated Learning, Privacy-Preserving AI, and Data Governance
* AI Security, Adversarial Learning, and Cyber-Resilient Web Systems
* Web Services, APIs, MCP Protocols, and Intelligent Service Orchestration
* Data Spaces, Interoperability, and Cross-Platform Integration
* Edge AI, IoT Intelligence, and 6G Semantic Communication Networks
* Big Data Analytics, Real-Time Intelligence, and Streaming Data Integration
* Blockchain, Decentralized AI, and Trusted Data Ecosystems
* Digital Twins, Smart Environments, and Intelligent Infrastructure
* Social Media Intelligence, Misinformation Detection, and AI for Society
* Open Knowledge Ecosystems, Collaborative Intelligence, and Open Science
* AI for Smart Cities, Healthcare, Education, Industry, and Sustainability
* Quantum AI, Emerging Computing Paradigms, and Hybrid Intelligence
* Ethical, Legal, Regulatory, and Societal Implications of AI
* Future Directions in Web Intelligence and the Agentic Web
See (https://www.iiwas.org/conferences/iiwas2026/about-iiwas.html) for the
full list
**** Submission Guidelines ****
Authors are invited to submit full papers (maximum 15 pages) or short
papers (maximum 6 pages) in PDF format. All submissions will be
peer-reviewed by a panel of experts.
Submission guideline: (
https://www.iiwas.org/conferences/iiwas2026/paper-submission.html)
**** Submission Procedure ****
Authors should first consult Springer’s authors’ instructions (
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…)
and use the proceedings templates, either for LaTeX or for Word, for the
preparation of their papers.
Papers submission will be managed using HotCRP. Online paper submission: (
https://iiwas2026.iiwas.org)
To submit a paper, create an account or sign in if you already have an
account. To create an account, you only need to enter a valid email
address. You will receive an email with a link to change the password and
fill in your name, affiliation, etc., You can start the submission process
by clicking on "new submission".
**** More Information ****
Please visit the conference website at
https://www.iiwas.org/conferences/iiwas2026/
**** iiWAS 2026 PC Chairs ****
- Jun Miyazaki, Institute of Science Tokyo, Japan
- Qiang Ma, Kyoto Institute of Technology, Japan
**** Contact ****
iiwas2026(a)iiwas.org
日本データベース学会の皆様
(重複して受け取られた場合はご容赦ください)
お世話になっております。京都工芸繊維大学のDuanです。
2026年11月13日〜15日に香港で開催されるADMA2026におけるSpecial Session "Educational Data Mining in the Era of Large Language Models (EDM-LLM)" につきまして、投稿締め切りが7月17日に延期されましたのでご案内申し上げます。
ぜひ投稿をご検討いただければ幸いです。
何卒よろしくお願い申し上げます。
+++ General Information +++
The 22nd International Conference on Advanced Data Mining and Applications 2026
Special Session: Educational Data Mining in the Era of Large Language Models (EDM-LLM)
13th ~ 15th November, 2026
Hong Kong
https://adma2026.github.io/
+++ Important Dates +++
- Full/Poster Paper submission: July 17, 2026
- Acceptance notification: September 2, 2026
- Camera-ready papers submission: September 11, 2026
- Conference Dates: November 13-15, 2026
+++ Aims and Scope +++
Educational Data Mining lies at the intersection of data mining, machine learning, the learning sciences, and educational technology. This special session aims to provide a focused forum within ADMA2026 for research on how advanced data mining methods can be used to understand learning processes, support teachers and learners, personalize instruction, and examine the growing role of large language models in educational settings. The session welcomes methodological papers, application papers, benchmark studies, system papers, and reports of industrial practice. It is intended both for work that uses educational data to motivate advances in data mining and for work that applies state of-the-art data mining methods to important educational problems. In particular, the session aims to connect the broader data mining community with real educational challenges involving sequential, relational, textual, code-based, and multimodal data.
+++ Topics +++
The special session will cover, but are not limited to:
- Learner knowledge and performance modeling, knowledge tracing, mastery estimation, and academic risk prediction;
- Domain knowledge modeling, prerequisite discovery, knowledge component discovery, and graph/sequence mining of learning processes;
- Educational recommenders, instructional sequencing, intervention optimization, and reinforcement learning for adaptive learning;
- Multimodal learning analytics using logs, text, code, speech, video, eye-tracking, or classroom interaction data;
- Social and collaborative learning analytics, peer learning, discussion/forum mining, and group interaction modeling;
- Open-ended assessment, automated grading, writing and code analytics, peer review modeling, and educational feedback generation;
- LLM applications in EDM, including intelligent tutoring, hint generation, question generation, feedback synthesis, knowledge component extraction, item difficulty estimation, and classroom support;
- Evaluation of LLMs in education, human-AI comparison, benchmarking against student performance, and studies of AI-assisted learning behaviors;
- Data resources, benchmarks, and cross-platform or cross-institutional studies for educational data mining.
+++ Publication +++
Accepted papers will be published by Springer in their Lecture Notes in Artificial Intelligence (LNAI) and indexed in EI and DBLP.
+++ Submission Instructions +++
Manuscripts must be prepared in accordance with the LNAI format and should not exceed 15 pages. For the template and details on the LNAI style, please check the following website: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…
Papers will go through a full peer review process in a double-blind manner.
Submission site: https://cmt3.research.microsoft.com/ADMA2026
+++ Special Session Chair +++
- Weining Qian, East China Normal University, China
- Yijun Duan, Kyoto Institute of Technology, Japan
- Yun Liu, Kyoto Institute of Technology, Japan
皆様
お世話になっております。
東京科学大学の曹です。
国際会議 *ADMA 2026 (The 22nd International Conference on Advanced Data Mining
and Applications)* の
論文募集（Call for Papers）についてご案内いたします。
ADMA は、データマイニングおよびその応用に関する国際会議であり、
データマイニング理論、アルゴリズム、システム、応用など幅広い研究分野を対象としています。
本会議は *Springer (LNCS/LNAI)* にて proceedings が出版されます。
今年の ADMA は *香港* にて開催されます。
データマイニング、AI、データサイエンスなどの分野に関する研究成果の投稿を歓迎いたします。
------------------------------
■ Conference Information
ADMA 2026 (The 22nd International Conference on Advanced Data Mining and
Applications)
📍 Hong Kong, China
📅 November 1–3, 2026
Conference website
https://adma2026.github.io/
------------------------------
■ Important Dates (Research Track)
-
Paper Submission: *May 29, 2026*
-
Notification: *August 3, 2026*
-
Camera Ready: *August 17, 2026*
------------------------------
■ Calls
Research Track
https://adma2026.github.io/call_for_research_papers.html
Industry Track
https://adma2026.github.io/call_for_industry_papers.html
Special Session Proposals
https://adma2026.github.io/call_for_special_sessions.html
------------------------------
データマイニングおよび関連分野の研究者・学生の皆様からの
ご投稿・ご参加をお待ちしております。
どうぞよろしくお願いいたします。
日本データベース学会の皆様
筑波大の森嶋です．ディジタルライブラリのメジャーカンファレンス ICADL2026
のご案内です．今年はタイです．〆切は7月24日となっております．
https://icadl.net/icadl2026/#call
DLとの関連を書いていただければ，DEIMやWebDBで発表される
多くのトピックはスコープ内ですので，今年も何卒多くのご投稿を
いただければ幸いでございます．
論文集はSpringerから出版され，DBLPにももちろん掲載されます．
どうぞよろしくお願い申し上げます．
森嶋厚行
--
Atsuyuki Morishima <morishima-office(a)ml.cc.tsukuba.ac.jp>
Dean, Institute of Library, Information and Media Science
Leader of the Crowd-in-the-Loop Society Research Team, Institute of
LVibrary, Information and Media Science
Center for Artificial Intelligence Research, University of Tsukuba
https://fusioncomplab.org/people/atsuyuki/
The Crowd4U Initiative
http://crowd4u.org
ISeee Project
http://crowd4u.org/projects/iseee
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