Conferences and Meetings on Information & Knowledge Management, Big Data Computing

Natural language understanding systems require a knowledge base provided with formal representations reflecting the structure of human beings' cognitive system. Although surface semantics can be sufficient in some other systems, the construction of a robust knowledge base guarantees its use in most natural language processing applications, thus consolidating the concept of resource reuse. This conference deals with meaning and knowledge representation in the context of natural language understanding from the perspective of theoretical linguistics, computational linguistics, cognitive science, knowledge engineering, artificial intelligence, natural language processing, text analytics or linked data and semantic web technologies.

Applied Linguistics; Cognitive Science; Computational Linguistics; Text/Corpus Linguistics

Linguistics,    Natural Language Processing, Computational Linguistics

ACM SIGIR is the Annual Conference of the Association for Computing Machinery Special Interest Group in Information Retrieval . In 2022, it comes to Spain for the first time: It will be held in Madrid 11-15 July 2022. For the first time in the history of SIGIR meetings, SIGIR 2022 will be run in a hybrid mode: speakers and attendees will have the option to participate onsite or online. The number of onsite attendees will be limited to 500.

FLoC 2022

Principles of Knowledge Representation and Reasoning, Incorporated (KR Inc.) is a not for profit Scientific Foundation incorporated in the state of Massachusetts of the United States of America, concerned with fostering research and communication on knowledge representation and reasoning. Its primary activities include organizing a series of prestigious conferences, the conferences on Principles of Knowledge Representation and Reasoning, cooperating with workshops on related topics, maintaining informational materials on the World Wide Web, and maintaining KR-related mailing lists.

Information Theory, Foundations of Computer Science,    Neural Networks and Artificial Intelligence, Machine Learning

ICBDR is supported by Shandong University, China, Shanghai Maritime University, China, Tokai University, Japan, Osaka Prefecture University, Japan, EISTI, France, Naval Academy Research Institute, France

The 6th International Conference on Big Data Research(ICBDR 2022) will be held in Harbin, China during Aug. 10-12, 2022. Big data research is now well established as very diverse and pluri-disciplinary research area whose objective is to deal with massive and heterogeneous datasets and that are too large to be manipulated by conventional modelling and most current computational approaches. Clearly, big data challenges should require novel approaches and success stories should be shared, this favoring exchanges, cross-fertilization and finally advances as well as futur research directions to consider.

Phone: [+86 138 8010 4517];     Email: Nazal@sina.com

Big Data Models and Algorithms; Big Data Architectures; Big Data Security and Privacy; Big Data in Smart Cities; Big Data Search, Mining, and Visualization;

The South Asia Institute of Science and Engineering

2022 6th International Conference on Big Data and Internet of Things (BDIOT2022). The Conference will be held in Chongqing, China during August 12-14, 2022 co-located with VRIP 2022. BDIOT 2022 is co-sponsored by Chongqing Technology and Business University, China and University of Macau, China (Macau); and supported by North China University of Technology, China and University of Parma, Italy.

Phone: [+86-18482379767];     Email: brandon@saise.org

BIG DATA RESEARCH; INTERNET OF THINGS (IOT) FUNDAMENTALS & APPLICATIONS; BIG DATA FOR MULTI-DISCIPLINE SERVICES; EMERGING SERVICES AND ANALYTICS;

JOWO is a conference of the International Association for Ontology and its Applications (IAOA), which is a non-profit organization aiming to promote interdisciplinary research and international collaboration in formal ontology.

The Joint Ontology WOrkshops (JOWO) is a venue of workshops that, together, address a wide spectrum of topics related to ontology research, ranging from Cognitive Science to Knowledge Representation, Natural Language Processing, Artificial Intelligence, Logic, Philosophy, and Linguistics.

Qingdao University, China

2022 5th International Conference on Big Data Technologies will be held in Qingdao, China during September 23-25, 2022. Organized by Qingdao University, China, technical co-sponsored by University of Jinan, Shandong University, Shandong University of Science and Technology, China, Shandong University of Technology, Guizhou University, Shandong Normal University, and other universities.

Phone: [+86-18227609313];     Email: saraxc17@163.com

Data Visualization and Visual Analytics, Big Data Algorithms, Applications and Services, Big Data Processing and Querying, Algorithmic, experimental, prototyping and implementation, Natural Language Processing in Big Texts, Biomedical imaging pre-processing and Analysis, Structured and Unstructured Data/Text/Web Mining, Scalable computational intelligence tools, Evolutionary and Bio-inspired approaches for Big Data analysis

Lake Como School of Advanced Studies

Scientific Computing and Data Science,    Events for IT Students and Early Career Researchers

MASTER Project, National Research Council of Italy, University of Piraeus Greece

Our First Summer School on Data Science for Mobility offers participants both visionary keynote speeches and hands-on mini-courses held by leading experts in AI and Data Analytics for Mobility from Canada, Greece & Italy. The keynote speeches will explore the challenges faced due to the voluminous and complex mobility data generated every day in maritime and aviation domains. The hands-on mini-courses complement the keynotes by giving practical experience in the usage of analysis tools on real mobility datasets.

Email: beatrice.rapisarda@isti.cnr.it

summer school, data science, mobility data,

Scientific Computing and Data Science,    Events for IT Students and Early Career Researchers

Sponsored by Hua Qiao University, China and technical supported by ACM Singapore Chapter

2022 4th International Conference on Big-data Service and Intelligent Computation (BDSIC 2022) will be held in HuaQiao University, Xiamen during 25-27 November, 2022. It aims to provide a forum for researchers, practitioners, and professionals from the industry, academia and government to discourse on research and development, professional practice in Big-data Service and Intelligent Computation. BDSIC 2019 was successfully held in Wuhan Institute of Technology, BDSIC 2020 & 2021 were successfully held online. Scholars and researchers working in the field of Big-data Service and Intelligent Computation from all over the world are welcome to attend the conference and share your experiences and lessons with other enthusiasts, and develop opportunities for cooperation.

Phone: [17717447475];     Email: amychou2020@163.com

Big Data Foundations; Foundational theoretical or computational models for big data; Programming models, theories, and algorithms for big data; Intelligent Computing Methodologies and Applications; Evolutionary Computing and Learning; Genetic Algorithms; Big Data Analytics and Services; Big Data Platforms and Technologies;

CARE College of Engineering

In this digital era, Internet of Things [IoT], big data and computer networks are dedicated to provide new innovative contributions focused towards the development and deployment of wide range of intelligent and networked information systems. Smart IoT and big data platform allows the networked devices to communicate along with the core values of volume, variety and velocity which in turn leads to the integration of Big data and IoT with advanced machine learning and other advanced techniques.

Phone: [9597324073];     Email: icocbi.conf@gmail.com

Internet of Things AI and Machine Learning for the IoT Energy Efficiency and Sustainability in IoT Smart Sensing, Signal Processing and Analytics Human-Machine Interaction and IoT M2M/IoT Services over Distributed Networks Cloud/Fog/Edge-enabled Big Data Intelligence over IoT 6G-Enabled Internet of Things Security, Privacy, Intrusion Detection for the Internet of Things Big Data Multi-Modal Perceptual Big Data Analysis Intelligent Data Mining Machine Learning on Big Data Data Science and Scalable Computing Predictive Analytics and Simulation Big Data as a Service (BDaaS) Platform and Technologies Big Data System Reliability, Dependability, and Availability Knowledge Extraction, Discovery, and Analysis Security and Privacy-Aware Data Management Cloud Computing Cloud-centric Network Architectures Social and Mobile Cloud Applications Cloud Service Adaptation and Automation Fault Tolerance, Availability, and Reliability Distributed Ledger Technologies to Cloud Sustainable Cloud Computing Hybrid-clouds/Multi-clouds/Terminal-Edge-Cloud Integration Cloud Computing Virtualization

Internet of Things (IoT) and Sensor Networks,    Distributed, Edge and Cloud Computing

University College Cork & TC309 Machine Learning and Big Data

The theme of the symposium is Data-centric solutions for reshaping the next generation geo-industries and the symposium is hosted by ISSMGE Technical Committee of Machine Learning & Big Data (TC309).

Development of benchmark datasets for geoscience and geo-industries - Development and application of innovative geotechnical monitoring technologies to subsurface engineering and geoscience - Gathering and processing of big data and metadata in geoscience and geoengineering - Big geodata mining, generation of big geodata by computational methods and etc. - Development and optimisation of machine learning algorithm for geoscience and geotechnics - Applying artificial intelligence to site investigation and geo-materials behaviour - Application of machine learning and data analytics for design, construction, maintenance of geotechnical assets during the whole-life cycle - Role of visual data analytics, virtual reality and data-centric technology in geosciences and beyond

Geophysics and Geology,    Neural Networks and Artificial Intelligence, Machine Learning