
7月21日 - 2025年7月24日
International Conference on Information and Knowledge Engineering
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概要
The 24th International Conference on Information & Knowledge Engineering (IKE'25) will be held from July 21-24, 2025, in Las Vegas, USA, as part of the 2025 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'25). This conference serves as a platform for researchers, scholars, professionals, and students to share novel ideas and research results, particularly on the application of human cognition models in computing. All accepted papers will be published by Springer Nature and indexed in major science citation databases.
IKE'25: Call for Papers
The 24th International Conference on Information & Knowledge Engineering (IKE'25) is being held jointly with The 2025 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE'25) from July 21-24, 2025, in Las Vegas, USA.
IKE'25 aims to provide a platform for researchers, scholars, professionals, students, and academicians to foster working relationships and gain access to the latest research results. The primary goal is to offer an interdisciplinary venue for discussing ongoing innovations, applications, and solutions to challenging problems related to engineering human brain processes, learning mechanisms, and decision-making processes.
Topics of Interest
Prospective authors are invited to submit papers on topics that include, but are not limited to:
- Information Retrieval Systems
- Knowledge Management and Cyber-Learning
- Database Engineering and Systems
- Data and Knowledge Processing
- Databanks: Issues, Methods, and Standards
- Data Warehousing and Datacenters
- Health Information Systems
- Data Security and Privacy Issues
- Information Reliability and Security
- Information and Knowledge Structures
- Knowledge Life Cycle
- Knowledge and Information Extraction and Discovery Techniques
- Knowledge Classification Tools
- Knowledge and Information Management Techniques
- Knowledge Extraction from Images
- Knowledge Representation and Acquisition
- Knowledge Re-engineering
- Large-scale Information Processing Methods
- Intelligent Knowledge-based Systems
- Re-usability of Software/Knowledge/Information
- Formal and Visual Specification Languages
- Decision Support and Expert Systems
- e-Libraries (Digital Libraries) + e-Publishing
- Ontology: Engineering, Sharing and Reuse, Matching and Alignment
- Digital Typography
- Agent-based Techniques and Systems
- Workflow Management
- Business Intelligence
- Large-scale Information Processing Methods and Systems
- Content Management
- Data and Knowledge Fusion
- Dataweb Models and Systems
- Global Contextual Processing and Management Implementation
- Data/Information/Knowledge Models
- Managing Copyright Laws
- Interoperability Issues
- Transaction Systems
- Search Methods
- Ontologies and Semantics
- Object-oriented Modeling and Systems
- Case-based Reasoning
- Digital Watermarking
- Classical Aspects of Information Theory
- Coding Theory
- Quantum Information Theory
- Applications (e-Commerce, Multimedia, Business, Banking, ...)
- Emerging Technologies and Related Issues
- Natural Language Processing
- Information Integration
- Multi-cultural Information Systems
- Domain Analysis and Modeling
- Metamodelling
- Education and Training Issues
- Knowledge Mining
Information and Knowledge Engineering in the Context of Big Data
- Massively Parallel Processing (MPP) Databases
- Information Mining Grids
- Distributed Databases
- Cluster Analysis
- Crowdsourcing
- Data Fusion and Integration
- Neural Networks
- Pattern Recognition
- Data Anomaly Detection
- Supervised and Unsupervised Learning
- Time Series Analysis and Visualisation
- Search-based Applications
Submission Guidelines
- Submission Website: Prospective authors are invited to submit their papers by uploading them to the evaluation web site at: https://american-cse.org/drafts/
- Paper Categories & Page Limitations: Refer to https://american-cse.org/csce2025/paper_categories for categories and page limitations.
- File Formats: Submissions must be in either PDF or MS WORD formats.
- First Page Requirements: The first page of the paper should include:
- Title of the paper
- Name, affiliation, City, Country, and email address of each author (identify the name of the Contact Author).
- Abstract (between 100 and 120 words)
- A maximum of 6 topical keywords (Indexed Terms).
- The type of the submission (e.g., "Regular Research Paper", "Short Research Paper", or "Extended Abstract/Poster Research Paper").
- Formatting: For draft papers, all reasonable formatting/typesetting are acceptable. Authors of accepted papers will receive specific typesetting instructions to prepare their final versions using the standard Springer Nature typesetting format available at: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines.
- Originality: All submissions must be original and must not have been previously published or currently under consideration for publication elsewhere.
Publication
All accepted papers will be published by Springer Nature in the proceedings (Research Books) and indexed in major Science Citation Indexation databases, including Scopus, DBLP, EI Engineering Index, Compendex, Inspec databases, Springer Link, Google Scholar, Conference CPCI Citation Index (part of Clarivate Analytics' Web of Science), ACM Digital Library, IO-Port, MathSciNet, and Zentralblatt MATH, among others.
Presentation Modes
This year's Congress will be held in person (face-to-face); however, online presentation options will also be available for authors and speakers who are unable to attend physically. Most presentations are expected to be delivered face-to-face.
Important Dates
- Conference Dates: July 21-24, 2025
- Other deadlines such as submission, notification, and registration are not explicitly provided in the available text.
Contact Information
Questions and inquiries should be sent to: CSCE'25 Conference Secretariat: cs@american-cse.org
重要な日付
カンファレンス日程
Conference Date
2025年7月21日 → 2025年7月24日
情報源ランク
情報源: CORE2023
ランク: National: USA
研究分野: Artificial intelligence, 使用されていません