Primer Llamado a Presentación de Trabajos – CLEI 2025

CALL FOR PAPERS – KES 2025

29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems 

10-12 September 2025 | Osaka, Japan

Call for Papers

Since it's inception 29 years ago, the International Conference on Knowledge-Based and Intelligent Information & Engineering Systems has been the go-to event for exploring intelligent systems and their applications. 

With more than 550 attendees and 5 expert speakers in 2025, the annual KES Conference unites our community to connect, educate, inspire and grow. We are honoured to invite you to submit a paper to share your expertise with our community.

KES 2025 will take place in Osaka, Japan from 10-12 September 2025. The conference encompasses a broad spectrum of intelligent systems related subjects – the conference scope can be found …here… Below are all of the details and deadlines you need to submit your paper.

SUBMISSIONS NOW OPEN

DEADLINES FOR SUBMISSIONS

• Submission of papers Deadline: The deadline to submit your paper is 31 March 2025.
• Notification of Acceptance: Your submission will be evaluated by 5 May 2025.
• Final Publication Files: Your publication files to be received by 02 June 2025.

To submit your paper, please click on the following link.

Conference Scope

General Track Sessions:

G1: Machine Learning, Artificial Neural Networks and Deep Learning

This track will cover both machine learning theoretical research and its applications. Contributions describing machine learning techniques applied to real-world problems and interdisciplinary research involving machine learning in different application fields with especial emphasis on the design of those systems, are particularly encouraged.

G2: Knowledge Based and Expert Systems

This track covers knowledge-based systems and expert systems, both theoretical research and its applications. Contributions using techniques in knowledge-based systems and expert systems applied to real-world problems, as well as interdisciplinary research involving knowledge-based systems and expert systems in different application fields, are particularly encouraged.

G3: Intelligent Information and Engineering Systems

This track covers both intelligent information and engineering systems, theoretical research and applications.

Intelligent information and engineering systems is a broad topic and includes contributions describing techniques handling real-world problems. It also includes research involving intelligent information and engineering in different application fields.

The topics of interest include (but are not limited to):

• Natural Language Processing
• Agent and Multi-Agent Systems
• Bio-inspired Systems
• Nature Inspired Methods and Optimization
• Image Processing and Signal Processing
• Machine & Computer Vision
• Monitoring and Prediction
• Speech Processing and Synthesis

G4: Industry Applications

This track covers Industry Applications. Contributions describing industry application techniques applied to real-world problems and interdisciplinary research involving industry applications in different application fields, with especial emphasis on industry, are particularly encouraged.

Invited Sessions

An invited session consists of a presentation session of 6 to 12 or more papers on a specific conference topic, organised as half or full day mini-conference. We invite senior scientists who have a special interest in a specific conference topic to take responsibility for an invited session, gathering papers from a range of research expertise around the world.  

Researchers who would like to organise one or more Invited Sessions on topics falling within the scope of the conference are invited to submit a proposal for consideration.

Submission Guidelines and Review Process

Authors are invited to submit original, unpublished papers which are not under review for another conference, workshop, or journal by the time of submission. The contributors should address one or more research areas included above.

Detailed submission information is available on the conference page 

EDBT 2025 Summer School: Call for Applications

March 13th, 2025 Daniela Lopez de Luise

CALL FOR APPLICATIONS EDBT 2025 Summer School on AI & Data Management 7th to 11th of July, 2025, University of Cyprus, Nicosia, Cyprus https://dmai.cs.ucy.ac.cy/ APPLICATION DEADLINE: April 7th, 2025! * Registration Open! (Limited Seats of about 60 participants) * Registration Site: http://tiny.cc/glxb001 * Student Grants will be announced later *************************************************************** The EDBT association and the University of Cyprus are happy to announce a jointly sponsored Summer School on Artificial Intelligence (AI) and Data Management, which will be hosted at the Resource Center “Stelios Ioannou”, University of Cyprus, Monday July 7, 2025 to Friday, July 11, 2025. It will cover a diverse range of topics around artificial intelligence and data management, with a special focus on Large Language Models, AI agents and Vector Databases. It will have 9 tutorials from internationally renowned researchers in the field, and several social activities. Each tutorial will be 3 hour long. CONFIRMED SPEAKERS =================== The summer school will feature 9 invited speakers. The preliminary list of speakers along with tentative titles (in order of appearance) is listed below: + Prof. Ioana Manolescu (Ecole Polytechnique, France) | “Interconnection of Heterogeneous Data using AI” + Prof. Sihem Amer-Yahia (CNRS, University of Grenoble Alpes, France) | “AI Planning for Data Exploration” + Dr. Charalampos Tsourakakis (RelationalAI & Boston University, USA) | “Algorithmic Techniques in Graph Analytics” | “Machine Learning in Graph Analytics” + Prof. Volker Markl (Technical University Berlin, Germany) | “Large-scale Data Management in Flink” | “Edge Data Management in NebulaStream” + Prof. Constantine Dovrolis (Georgia Tech, USA & Cyprus Institute, Cyprus) | “Neuro-inspired AI for Continual Learning” | “The New Mathematics of Deep Learning” + Prof. Mohamed F. Mokbel (University of Minnesota, USA) | “Machine Learning for Big Spatial Data and Applications” | “Large Language Models for Spatio-temporal Queries” + Prof. Li Xiong (Emory University, USA) | “Large Language Models and Privacy” + Prof. Cyrus Shahabi (University of Southern California, USA) | “DeepNN for Private Spatiotemporal Queries” | “Synthetic Trajectory Generation” TARGET AUDIENCE =============== The school will be open to about 60 qualified, motivated and pre-selected candidates. The school is primarily intended for graduate (Master’s & PhD) students and post-doctoral researchers, but we also welcome motivated applications from advanced undergraduate students and academic and industrial researchers. There are no formal prerequisites, but prior experience in one or more of the following areas would be helpful for benefiting from the lectures of the school: Data Management, AI & Machine Learning, Data Mining, Informational Retrieval, Parallel and Distributed and Cloud Computing. DIVERSITY AND INCLUSION ======================== The EDBT 2025 Summer School on AI & Data Management community is committed to the promotion of diversity, equity and inclusion in all aspects of our professional activities (https://dbdni.github.io/). We celebrate the diversity in our community and welcome everyone regardless of age, gender identity, race, ethnicity, socioeconomic background, country of origin, religion, sexual orientation, physical ability, education, and work experience. We also welcome people and opinions of all political persuasions, as long as they abide by the ACM policy against harassment. (https://www.acm.org/about-acm/policy-against-harassment) STUDENT GRANTS =============== There will be a limited number of grants (fellowships). Half grants cover the registration fee, while full grants also cover accommodation in a student residence room. A call for applying for these grants will be announced later and applicants must briefly explain why attendance could not be financed by other means. Grants will be awarded taking into account the applicant’s profile (motivations, research background), financial need and diversity and inclusion aspects. Grants will be announced after the application deadline on the website. REGISTRATION ============ All Registration options include: + Tutorial Lectures + Coffee Breaks + 5 Lunches + 1 Banquet Dinner + 2 Dinners + Welcome Cocktail (with Snacks) + 1 Tour Trip + Bus from Hotel to Venue (two way). + Registration options with accommodation include Breakfast There are three registration options: + Registration with No Accommodation:                      600.00 euro + Registration with (Shared) Twin Room (5 nights):        850.00 euro + Registration with (Private) Single Room (5 nights):    1100.00 euro *** Registration Site: http://tiny.cc/glxb001 *** IMPORTANT DATES =============== Deadline for applications:  Monday, April 7, 2025 Notification of acceptance: Monday, April 14, 2025 Deadline for registration:  Monday, April 28, 2025 Summer school: July 7–11, 2025 LOCAL ARRANGEMENT ================== – Venue: https://dmai.cs.ucy.ac.cy/#venue – Accommodation: https://dmai.cs.ucy.ac.cy/#local_info – Special Lufthansa Group airlines fares for flights to Larnaca or Paphos: https://www.lufthansa.com/content/lh/markets/cy/en/event/edbt-summer-school-2025-jul ORGANIZATION ============ Prof. Demetris Zeinalipour University of Cyprus https://www.cs.ucy.ac.cy/~dzeina/ Prof. Panos K. Chrysanthis University of Cyprus and University of Pittsburgh, USA https://panos.cs.pitt.edu/ For academic matters, please contact the organizers at edbt2025summerschool@gmail.com Local Arrangements Contact: > Help with travel, accommodation and visa issues (if attending outside Europe): – Email: info@easyconferences.eu – Call us at: +357 22 591 900

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The 16th IEEE International Conference on Knowledge Graphs (ICKG 2025): Second Call for Papers

March 13th, 2025 Daniela Lopez de Luise

*** Second Call for Papers *** The 16th IEEE International Conference on Knowledge Graphs (ICKG 2025) December 12-13, 2025, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/ickg2025/ (*** Proceedings to be published by IEEE ***) The annual IEEE International Conference on Knowledge Graph (ICKG) provides a premier international forum for presentation of original research results in knowledge discovery and graph learning, discussion of opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of knowledge discovery from data, with a strong focus on graph learning and knowledge graph, including algorithms, software, platforms. ICKG 2025 intends to draw researchers and application developers from a wide range of areas such as knowledge engineering, representation learning, big data analytics, statistics, machine learning, pattern recognition, data mining, knowledge visualization, high performance computing, and World Wide Web etc. By promoting novel, high quality research findings, and innovative solutions to address challenges in handling all aspects of learning from data with dependency relationship. All accepted papers will be published in the conference proceedings by the IEEE Computer Society. Awards, including Best Paper, Best Paper Runner up, Best Student Paper, Best Student Paper Runner up, will be conferred at the conference, with a check and a certificate for each award. The conference also features a survey track to accept survey papers reviewing recent studies in all aspects of knowledge discovery and graph learning. At least five high quality papers will be invited for a special issue of the Knowledge and Information Systems Journal, in an expanded and revised form. In addition, at least eight quality papers will be invited for a special issue of Data Intelligence Journal in an expanded and revised form with at least 30% difference. TOPICS OF INTEREST Topics of interest include, but are not limited to: • Foundations, algorithms, models, and theory of knowledge discovery and graph learning • Knowledge engineering with big data. • Machine learning, data mining, and statistical methods for data science and engineering. • Acquisition, representation and evolution of fragmented knowledge. • Fragmented knowledge modeling and online learning. • Knowledge graphs and knowledge maps. • Graph learning security, privacy, fairness, and trust. • Interpretation, rule, and relationship discovery in graph learning. • Geospatial and temporal knowledge discovery and graph learning. • Ontologies and reasoning. • Topology and fusion on fragmented knowledge. • Visualization, personalization, and recommendation of Knowledge Graph navigation and interaction. • Knowledge Graph systems and platforms, and their efficiency, scalability, and privacy. • Applications and services of knowledge discovery and graph learning in all domains including web, medicine, education, healthcare, and business. • Big knowledge systems and applications. • Crowdsourcing, deep learning and edge computing for graph mining. • Large language models and applications • Open source platforms and systems supporting knowledge and graph learning. • Datasets and benchmarks for graphs • Neurosymbolic & Hybrid AI systems • Graph Retrieval Augmented Generation SURVEY TRACK Survey paper reviewing recent study in keep aspects of knowledge discover and graph learning. In addition to the above topics, authors can also select and target the following Special Track topics. Each special track is handled by respective special track chairs, and the papers are also included in the conference proceedings. • Special Track 01: KGC and Knowledge Graph Building • Special Track 02: KR and KG Reasoning. • Special Track 03: KG and Large Language Model • Special Track 04: GNN and Graph Learning • Special Track 05: QA and Graph Database • Special Track 06: KG and Multi-modal Learning. • Special Track 07: KG and Knowledge Fusion. • Special Track 08: Industry and Applications SUBMISSION GUIDELINES Paper submissions should be no longer than 8 pages, in the IEEE 2-column format, including the bibliography and any possible appendices. Submissions longer than 8 pages will be rejected without review. All submissions will be reviewed by the Program Committee based on technical quality, originality, significance, and clarity. For survey track paper, please preface the descriptive paper title with “Survey:”, followed by the actual paper title. For example, a paper entitled “A Literature Review of Streaming Knowledge Graph”, should be changed as “Survey: A Literature Review of Streaming Knowledge Graph”. This is for the reviewers and chairs to clearly bid and handle the papers. Once the paper is accepted, the word, such as “Survey:”, can be removed from the camera-ready copy. For special track paper, please preface the descriptive paper title with “SS##:”, where “##” is the two digits special track ID. For example, a paper entitled “Incremental Knowledge Graph Learning”, intended to target Special Track 01 (Machine learning and knowledge graph) should be changed as “SS01: Incremental Knowledge Graph Learning”. All manuscripts are submitted as full papers and are reviewed based on their scientific merit. The reviewing process is single blind, meaning that each submission should list all authors and affiliations. There is no separate abstract submission step. There are no separate industrial, application, or poster tracks. Manuscripts must be submitted electronically in the online submission system. No email submission is accepted. To help ensure correct formatting, please use the style files for U.S. Letter as template for your submission. These include LaTeX and Word. SUBMISSION LINK https://wi-lab.com/cyberchair/2025/ickg25/ IMPORTANT DATES • Paper submission (abstract and full paper): July 15, 2025 (AoE) • Notification of acceptance/rejection: September 15, 2025 • Camera-ready deadline and copyright forms: October 15, 2025 • Early Registration Deadline: Oct. 29, 2025 • Conference: December 12-13, 2025 ORGANISATION Conference and Local Organising Chair • George A. Papadopoulos, University of Cyprus Conference Co-Chair • Dan Guo, Hefei University of Technology Program Chairs • Cesare Alippi, Università della Svizzera italiana • Shirui Pan, Griffith University Local Organising Vice Chair • Irene Kinlanioti, National Technical University of Athens Finance Chair • Constantinos Pattichis, University of Cyprus Steering Committee Chair • Xindong Wu, Hefei University Of Technology

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