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International Journal of Semantic Computing - World Scientific | 2025 Impact Factor:0.5 | Cite Score:1.8 | SCOPUS Q2

International Journal of Semantic Computing With Cite Score

Cite Score and Journal Rank of International Journal of Semantic Computing

  • About: The International Journal of Semantic Computing publishes original research articles, reviews, and technical papers in the field of semantic computing. This includes topics such as semantic analysis, natural language processing, semantic web technologies, ontologies, knowledge representation, and machine learning. The journal is committed to advancing the theoretical foundations and practical applications of semantics in computing, fostering innovation in how computers interpret and interact with data.
  • Objective
    The primary objective of the journal is to provide a platform for high-quality research and scholarly discussion on the development and application of semantic technologies in computing. It seeks to promote the exchange of ideas, support the creation of new tools and techniques for semantic computing, and enhance the understanding of how semantics can be effectively integrated into various computing systems and applications.
  • Interdisciplinary Approach
    International Journal of Semantic Computing adopts an interdisciplinary approach, recognizing the intersection of semantic computing with fields such as artificial intelligence, data science, linguistics, and information technology. The journal encourages contributions that integrate these diverse perspectives to address complex challenges in semantic computing and develop comprehensive solutions that can be applied across multiple domains.
  • Impact and Significance
    The journal has a significant impact on the field of semantic computing by providing valuable insights and practical solutions for researchers, developers, and technologists. Its influence is reflected in its ability to shape research directions, drive innovations in semantic technologies, and contribute to the development of more intelligent and context-aware computing systems. International Journal of Semantic Computing plays a crucial role in advancing knowledge and practice in the emerging field of semantic computing.

  • Editor-in-Chief:  Phillip C-Y Sheu

  • Scope: The International Journal of Semantic Computing is a peer-reviewed journal dedicated to the study and application of semantic computing technologies. It provides a forum for researchers, academics, and practitioners to discuss advancements in the field of semantic computing, which involves the integration of semantics into various computing processes to enhance understanding, interoperability, and usability.
  • Semantic Technologies:
    Research on semantic technologies, including ontologies, metadata, and linked data
    Innovations in semantic web technologies, knowledge graphs, and reasoning systems
    Developments in the creation and utilization of semantic models for data integration and interoperability
    Case studies on the practical applications of semantic technologies in various industries such as healthcare, finance, and e-commerce
    Trends in the evolution of semantic technologies and their impact on data-driven decision-making and intelligent systems
    Future directions for research in enhancing the scalability and efficiency of semantic technologies
  • Natural Language Processing and Understanding:
    Research on natural language processing (NLP) techniques for semantic understanding
    Innovations in text mining, information retrieval, and sentiment analysis using semantic approaches
    Developments in machine translation, dialogue systems, and question-answering systems with semantic enhancements
    Case studies demonstrating the application of NLP in semantic search engines, chatbots, and intelligent assistants
    Trends in the convergence of NLP with semantic computing to improve human-computer interaction and data interpretation
    Future directions for research in advancing NLP techniques for deeper semantic understanding and context-awareness
  • Semantic Multimedia and Content Management:
    Research on semantic analysis and management of multimedia content, including images, videos, and audio
    Innovations in content annotation, retrieval, and recommendation using semantic techniques
    Developments in the use of semantics for enhancing user experience in multimedia systems and digital libraries
    Case studies on the deployment of semantic multimedia systems in fields such as entertainment, education, and digital marketing
    Trends in integrating semantic computing with multimedia processing for more effective content management and personalization
    Future directions for research in leveraging semantic computing to manage and utilize large-scale multimedia datasets
  • Semantic Web and Linked Data:
    Research on the principles and practices of the semantic web and linked data
    Innovations in the creation, publishing, and consumption of linked data for enhancing web-based applications
    Developments in semantic web services, data mashups, and interoperability frameworks
    Case studies on the use of linked data in enhancing information retrieval, knowledge discovery, and data integration across domains
    Trends in the adoption of linked data principles in building intelligent web applications and services
    Future directions for research in expanding the reach and impact of the semantic web through new standards and tools
  • Semantic Computing in Artificial Intelligence:
    Research on the role of semantic computing in enhancing artificial intelligence (AI) applications
    Innovations in combining semantic technologies with machine learning, neural networks, and other AI techniques
    Developments in semantic reasoning, knowledge representation, and context-aware AI systems
    Case studies on the application of semantic AI in domains such as autonomous systems, robotics, and cognitive computing
    Trends in the integration of semantic computing with AI to create more intelligent, interpretable, and adaptable systems
    Future directions for research in advancing AI through the incorporation of rich semantic knowledge and reasoning capabilities
  • Applications and Case Studies:
    Research on the application of semantic computing in solving real-world problems
    Developments in the use of semantic technologies in domains such as healthcare, finance, e-commerce, and education
    Case studies showcasing the impact of semantic computing on enhancing information management, decision-making, and user experience
    Trends in the adoption of semantic computing in various industries and its influence on technology innovation and business processes
    Future directions for research in expanding the applications of semantic computing to new and emerging fields
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  1793-351X

    Electronic ISSN:  1793-7108

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2025:  0.5

  • Subject Area and Category:  Computer Science, Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, Information Systems, Software, Social Sciences, Linguistics and Language

  • Publication Frequency:  

  • H Index:  23

  • Best Quartile:

    Q1:  

    Q2:  Linguistics and Language

    Q3:  

    Q4:  

  • Cite Score:  1.8

  • SNIP:  0.298

  • Journal Rank(SJR):  0.182