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21 de julio - 24 de julio de 2025

Clasificación: National: USA (CORE2023)Offline

International Conference on Information and Knowledge Engineering

Actualizado: 5 days ago
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Las Vegas, USASpringer Nature

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Resumen General

The International Conference on Information and Knowledge Engineering (IKE) is part of The 2025 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'25), held July 21-24, 2025, in Las Vegas, USA. IKE provides a platform for researchers, scientists, and industry experts to share ideas and research on human cognition models in computing applications. Accepted papers will be published by Springer Nature in indexed proceedings.

Convocatoria

IKE'25 - Call for Papers

The 24th International Conference on Information & Knowledge Engineering (IKE) will be held as part of The 2025 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'25) from July 21-24, 2025, in Las Vegas, USA.

IKE serves as a platform for researchers, scholars, professionals, students, and academicians to share novel ideas and research results on the application of human cognition models in various practical computing applications.

Publication

All accepted papers will be published by Springer Nature (https://www.springernature.com/) in the proceedings (Research Books) and indexed in major Science Citation Indexation databases, including:

  • Scopus
  • DBLP
  • EI Engineering Index
  • Compendex
  • Inspec databases
  • Springer Links
  • Google Scholar
  • CP Citation Index, CPCI; part of Clarivate Analytics' Web of Science
  • ACM Digital Library
  • IO-Port
  • MathSciNet
  • Zentralblatt MATH, and others

Past Publications of Proceedings/Books can be found at:

Topics of Interest

Topics of interest include, but are not limited to, the following:

  • 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/Informationv - 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

Prospective authors are invited to submit their papers by uploading them to the evaluation web site at: https://american-cse.org/drafts/

Fechas Importantes

Fechas del Congreso

Conference Date

21 de julio de 202524 de julio de 2025

Envío

SUBMISSION OF PAPERS (for peer-review evaluation)

12 de julio de 2025

Notificación

NOTIFICATION OF ACCEPTANCE/REJECTION

19 de julio de 2025

Versión Final

FINAL PAPERS FOR PUBLICATION

30 de agosto de 2025

Inscripción

REGISTRATION

10 de julio de 2025

Clasificación de la Fuente

Fuente: CORE2023

Clasificación: National: USA

Campo de Investigación: Artificial intelligence

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