Conferences  >  Informatics  >  Information & Knowledge Management, Big Data Computing

2025 7th Asia Conference on Machine Learning and Computing will be held in Hong Kong, China during July 25-27, 2025. It aims to provide a forum for researchers, practitioners, and professionals from the industry, academia and government who are working in the field of machine learning and computing to discourse on research and development, professional practice in related fields.

Phone: [+86-186-2405-8113];     Email: helen@academic.net

TRACK 1: Machine Learning Theory and Applications Track Chair: Prof. Ke-Lin Du, Guangdong University of Science and Technology, China Recommender Systems Deep Learning Supervised Learning Reinforcement Learning Neural Networks and Applications Computational Theories of Learning Intelligent Search Statistical Learning Real-time Decisions Big Data Visualization Image Classification Robot Navigation Data Mining TRACK 2: Intelligent Computing and Algorithms Track Chair: Assoc. Prof. Abolfazl Razi, Clemson University, USA Computer Modeling Parallel Computing Quantum Computing High Performance Computing Distributed and Parallel Systems Cognitive Computing Cloud Computing Distributed Computing Grid Computing Embedded Computing Scalable Computing Human-centred Computing Mobile Computing

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

The Autumn School for Information Retrieval and Information Foraging (ASIRF) focuses on recent developments in Information Retrieval and Information-Seeking behavior and their applications. Information Retrieval deals with searching in huge amounts of unstructured data. In many professional fields of work and everyday life, access to text data via search engines is one of the most important forms of access to knowledge. Information Foraging aims to model the entire process from the awareness of an information problem through selecting appropriate information sources to the actual search.

Students and lecturers will live together for a week at Schloss Dagstuhl, which guarantees the school's traditionally highly communicative and interactive atmosphere. The intended audience of ASIRF are doctoral students and young researchers working in Information Retrieval, Information Foraging, or using concepts or methods from these fields in their research

Events for IT Students and Early Career Researchers,    Database Technology and Design, Search Engines and Data Mining

International Association of Ontology and its Applications (IAOA)

08-12 September 2025 (Catania, Italy), 04-05 September 2025 (online)

Information Theory, Foundations of Computer Science,    Algorithms and Data Structures

Deutsche Gesellschaft für Information und Wissen e.V. mit Unterstützung der Martin-Luther-Universität Halle-Wittenberg

Mit dem Thema der Tagung Prozesse des Verstehens – Verstehen der Prozesse. Wissenschaft zur Sprache bringen wollen wir einen interdisziplinären Austausch über Sprache als Schlüssel zu Erkenntnis, Vermittlung und Innovation ermöglichen.

Konferenzsekretariat; Margarit Reibel-Felten, DGI, Windmühlstraße 3, 60329 Frankfurt am Main;     Phone: [06151997117];     Email: wittenberg2025@dgi-info.de

DGI, Deutschdidaktik, Sprache, Lehre, Interdisziplinarität, Informationskompetenz, Artificial Intelligence, Informationswissenschaft

University of Catania, Italy & University of Florida, USA

LOD 2025, An Interdisciplinary Conference: Deep Learning, Foundation Models & Artificial Intelligence without Borders

Event Secretariat;     Email: lod@icas.cc

Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data, Optimization, Generative AI, Foundation Models, Large Language Models

Neural Networks and Artificial Intelligence, Machine Learning,    Natural Language Processing, Computational Linguistics

The biennial ECSQARU conferences (www.ecsqaru.org/) constitute a major forum for advances in the theory and practice of reasoning under uncertainty, with a focus on bringing symbolic and quantitative aspects together. Contributions come from researchers interested in advancing the scientific knowledge and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms.

Henry Stewart Events

Following the success of the inaugural event, Semantic Data New York returns in 2025, bringing together leading practitioners and innovators to explore the latest advancements in data management, taxonomy, ontology, and knowledge graph development. We are delighted to welcome back Madi Weland Solomon, Head of Client Solutions at Graphifi, as conference chair for this year’s event. Join us for a one-day conference exploring the critical role of data in shaping business advantage in the AI era. Gain practical insights into effectively managing and leveraging data resources, with a strong focus on taxonomies, ontologies, and knowledge graphs.

Email: simid@henrystewart.co.uk

Semantic Data, Semantic Layer, Linked Data, knowledge graph, semantic architect, NLP, natural language processing, semantic analysis, semantic taxonomy, taxonomies, ontology, ontologies, Ontologist, knowledge graphs, semantic web, RDF, Resource Description Framework, OWL, Ontology Web Language, Ontology, Ontologies, Semantic Technology, SPARQL, Interoperability, Information Science, Artificial Intelligence, Data Integration, Semantic Web, Taxonomies, Taxonomist

5th International Conference on Big Data, IOT & NLP (BINLP 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Big Data, IoT and NLP. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Big Data, Internet of Things and NLP.

Phone: [9677141480];     Email: binlp@myyahoo.com

• Big Data & Business Intelligence, • Information Extraction, Retrieval, • Semantic Processing & NLP,

Internet of Things (IoT) and Sensor Networks,    Neural Networks and Artificial Intelligence, Machine Learning

York College, City University of New York

We are pleased to warmly invite you to the International Conference On Business, Management, Economics, and Information Systems - 2025 (ICBMEIS-2025), organized by the Department of Business and Economics, York College, City University of New York (CUNY), Jamaica, New York, United States. ICBMEIS - 2025 is scheduled for October 25-26, 2025, at the Department of Business and Economics. ICBMEIS - 2025‎ is dedicated to fostering the exchange of knowledge, innovative ideas, and discussions on the latest advancements in the fields of Business, Management, Economics, and Information Systems. This conference will provide a valuable platform for esteemed academicians, scholars, and researchers to connect, collaborate, and interact with peers from both national and international arenas.

Conference Secretariat;     Email: icbm@york.cuny.edu

Business, Management, Entrepreneurship, Supply Chain Management, Operations Management, Human Resource Management, Marketing, Information Systems, Economics, Data Analytics, Engineering & Technology, Accounting and Finance, Sustainability, Aviation Management

Economics, Business and Marketing,    Career, Leadership and Management

entwickler.de Akademie | Software & Support Media GmbH

Die Teilnehmenden lernen hier Wege zur Realisierung dynamischer Cloud-Native-Architekturen, Container Application Design, Logging/Monitoring/Alerting, Container Native Storage und Möglichkeiten zur UI-Integration. Ebenso werden typische Konzepte aktueller Container-Manager aufgezeigt und vermittelt, wie sich damit für größere Webanwendungen gängige Qualitätsanforderungen realisieren lassen. Zusätzlich werden bekannte Cloud-Anbieter klassifiziert, Möglichkeiten zur Automatisierung aufgezeigt, Ansätze der Softwareentwicklung und des Application Lifecycle besprochen.

entwickler.de Akademie;     Email: info@entwickler-akademie.de

Infrastruktur, Container und Cloud Native, iSAQB, Schulung, Trainer, Fortbildung, Weiterbildung, Software-Architecture, Camp, Advanced, Credits, loud-Native-Architekturen, Container Application Design, Logging/Monitoring/Alerting, Container Native Storage, UI-Integration

Distributed, Edge and Cloud Computing,    Embedded Systems & Ubiquitous Computing, RFIDs

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

More and more, we find that the provenance of data is a key missing ingredient in the information set made available to us. Provenance - the origination and intention of data as collected - provides significant challenges for modern networks. While standards exist for describing data and its analysis - and even for parts of the provenance chain - there is no standard mechanism for tying together all relevant information across the series of steps which fully describe the origination of data. This workshop explores how the many contextualising factors needed to support responsible and accurate data reuse can be described, allowing for the needed chaining of provenance steps.

SEIT Lab, Department of Computer Science, University of Cyprus

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.

Phone: [00357722892693];     Email: george@ucy.ac.cy

• 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

KAOUN International

GITEX ASIA x AI Everything Singapore, Asia's Largest & Most Global Tech, Startup & Digital Investments Event, will take place from 9-10 April 2026 in Marina Bay Sands, Singapore. GITEX Asia x AI Everything Singapore 26-25 April 2025 delivered three transformative days of nonstop innovation — from cutting-edge AI breakthroughs and dynamic startup competitions to packed exhibition halls and global industry leaders igniting the conversation.

GITEX ASIA MARKETING;     Phone: [0555732365];     Email: marketing@gitexasia.com

Information Security and Information Privacy,    Database Technology and Design, Search Engines and Data Mining