Scope & Topics

International Journal of Web & Semantic Technology (IJWesT) is a quarterly open access peer-reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of web & semantic technology. The growth of the World-Wide Web today is simply phenomenal. It continues to grow rapidly and new technologies, applications are being developed to support end users modern life. Semantic Technologies are designed to extend the capabilities of information on the Web and enterprise databases to be networked in meaningful ways. Semantic web is emerging as a core discipline in the field of Computer Science & Engineering from distributed computing, web engineering, databases, social networks, Multimedia, information systems, artificial intelligence, natural language processing, soft computing, and human-computer interaction. The adoption of standards like XML, Resource Description Framework and Web Ontology Language serve as foundation technologies to advancing the adoption of semantic technologies.

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

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to

    Foundations of Semantic Technologies

  • Knowledge graph construction, alignment, completion and reasoning
  • Ontology engineering: design, modularization, evolution and reconciliation
  • Linked Data ecosystems, vocabularies, taxonomies and schema evolution
  • Semantic querying, indexing, optimization and scalable reasoning
  • Semantic interoperability, data integration and cross domain knowledge fusion
  • Trust, privacy, security, provenance and ethical frameworks for semantic systems

    • AI, Machine Learning and Hybrid Intelligence

  • Machine learning for knowledge graphs: embeddings, GNNs, contrastive learning
  • Neuro symbolic, differentiable and hybrid reasoning architectures
  • Large Language Models (LLMs) and semantic technologies
  • Retrieval augmented generation (RAG) with structured and multimodal knowledge
  • Automated knowledge extraction from text, images, audio, video and sensor data
  • Explainable and responsible AI grounded in semantic representations
  • Semantic approaches to data quality, bias, fairness and governance

    • Web, Data and Interoperability Technologies

  • Web architecture, semantic APIs and cloud native service ecosystems
  • Semantic service description, discovery, composition and orchestration
  • Distributed, federated and decentralized knowledge systems
  • High performance storage, indexing and querying for large scale semantic data
  • Interoperability standards, FAIR data principles and open knowledge ecosystems
  • Web scale information retrieval, semantic ranking and neural symbolic search
  • Real time and streaming semantic data processing

    • Multimodal, Cognitive and Human Centered Semantics

  • Multimodal knowledge graphs integrating text, image, audio and video
  • Vision language knowledge fusion and multimodal reasoning
  • Human in the loop knowledge engineering and interactive KG construction
  • Cognitive knowledge integration and commonsense reasoning
  • Usability, explainability, and human centered semantic systems
  • Embodied semantics, semantic memory for autonomous agents and robotics

    • Knowledge Engineering and Intelligent Applications

  • Enterprise knowledge graphs and intelligent data platforms
  • Semantic digital twins, cyber physical systems and Industry 4.0
  • Semantic technologies for healthcare, finance, legal tech and smart cities
  • Semantics for scientific knowledge, research workflows and open science
  • Semantic support for education, governance and public sector innovation
  • Semantic personalization, recommender systems and adaptive user modeling

    • Emerging and Cross Disciplinary Semantic Technologies

  • Semantic IoT, edge intelligence and sensor data semantics
  • Blockchain, decentralized knowledge management and verifiable credentials
  • Semantic cybersecurity, threat intelligence and anomaly detection
  • Semantic technologies for sustainability, climate science and environmental data
  • Semantics for geospatial, biomedical and scientific data ecosystems
  • Semantic infrastructure for AR/VR, metaverse and digital heritage
  • Social knowledge graphs, misinformation analysis and Web scale social semantics

    • Evaluation, Benchmarks, and Knowledge Lifecycle Management

  • Benchmarking, evaluation methodologies and reproducibility studies
  • Open datasets, gold standards and experimental frameworks
  • Knowledge graph validation, repair, versioning and evolution
  • Continuous knowledge integration, deployment and lifecycle management
  • Tooling, automation and DevOps practices for semantic systems

Important Dates

  • Submission Deadline : January 25, 2026
  • Notification                   : February 24, 2026
  • Final Manuscript Due : March 03, 2026
  • Publication Date          : Determined by the Editor-in-Chief

Call for Papers