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International Journal of Techno-informatics Engineering

Published by:  Aimbell Publications
Chief Editor: DR. AMIT K. SRIVASTAV
ISSN: Applied for
Frequency: Quarterly
Current Volume: Volume - I

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  • Aim & Scope
The International Journal of Technoinformatics Engineering aims to publish original research articles, review papers, and case studies that explore the integration of information technology with engineering solutions. Our scope includes, but is not limited to, topics such as artificial intelligence in engineering, big data analytics, IoT applications, cyber-physical systems, software engineering, and digital twins. We welcome submissions that demonstrate innovative approaches, highlight interdisciplinary collaborations, and offer practical implications for the engineering community. By providing a comprehensive and inclusive forum, we strive to advance the frontiers of technoinformatics engineering and support the development of transformative technologies.
  • Mission
Our mission is to facilitate the dissemination of high-quality research that bridges the gap between information technology and engineering. We strive to support the development and application of advanced technoinformatics techniques that enhance the efficiency, reliability, and sustainability of engineering practices. Through our journal, we seek to contribute to the global knowledge base and drive forward technological progress across various engineering disciplines.
  • About the Journal
The International Journal of Technoinformatics Engineering is a prominent, peer-reviewed publication dedicated to the advancement of technoinformatics and its applications in engineering. Our journal serves as an essential platform for researchers, academics, and industry professionals to disseminate innovative research, theoretical developments, and practical solutions in the interdisciplinary field of technoinformatics engineering. By promoting cutting-edge research, we aim to foster technological innovation and address the complex challenges in this rapidly evolving domain.

Current Issue Articles (Vol. 2 Issue 1)

  • Open Access
  • International Journal of Technoinformatics Engineering
  • Published : March 2025

Development in Named Entity Extraction and Its Significance for Improving Knowledge Graph Building

Knowledge Graphs (KGs) have emerged as a powerful tool for representing semantic relationships between data entities, widely used in various applications such as search engines, information retrieval, and natural language processing. This study provides an extensive literature review of Named Entity Extraction (NEE)