Call for Papers: Multi-dimensional Knowledge Graphs and Multi-perspective Ontologies
Introduction
The current data systems used by modern organisations create complex systems, which produce interconnected data streams that combine multiple types of information, such as textual data, visual elements, audio material, and data from sensors. Knowledge graph systems in traditional systems operate through fixed systems that present information in simplified forms because they cannot show contextual information and information that changes over time and from various viewpoints. The need for multi-dimensional knowledge graphs together with ontologies has grown because organisations and digital platforms now manage complex data environments.
The Journal of Web Semantics announces a special issue on “Multi-dimensional Knowledge and Ontologies” to address emerging challenges in semantic web technologies and contextual knowledge representation. This special issue presents advanced frameworks together with system architecture designs and ontology modelling techniques that support the development of scalable context-based knowledge graph systems. All researchers and practitioners are invited to submit their original work, which will help develop future knowledge representation research systems and semantic data processing technologies.
Scope
The special issue accepts high-quality research submissions to study multi-perspective ontologies through their theoretical, technical, and practical applications. The work, which can take multiple forms, needs to solve issues related to contextual knowledge representation and semantic data integration and multi-layered querying through empirical research, conceptual frameworks, system design, case studies and new methods.
The research submission needs to show solid research methods while demonstrating how it contributes to both semantic web research and knowledge representation systems and their practical uses. The researchers should work together with experts from artificial intelligence, computer science, data engineering, and information science.
Know More About This Issue
Digital systems today need knowledge representation systems that can handle different perspectives, changing data and multiple forms of information. The multi-dimensional knowledge enables advanced contextual modelling, which helps decision-making in healthcare analytics, digital humanities, legal reasoning and information verification.
Researchers and practitioners can use this special issue to present their innovative methods for improving semantic modelling and multi-layered querying systems and knowledge graph environments, which require scalable performance. The issue combines theoretical advancements and real-world applications to create intelligent knowledge systems that provide contextual understanding and enable efficient data integration across global digital infrastructures.
Key Themes
- Knowledge graphs should use a representation system that shows disagreement and conflicting claims and their corresponding contextual truth.
- Multimodal knowledge graph systems create a framework that connects text and visual content, audio material and organised information.
- The SPARQL language provides basic querying capabilities, which users can extend through additional query languages and techniques that enable them to perform multi-dimensional and perspective-based searches.
- The research studies scalable systems that include indexing methods and distributed architectures that support the development of extensive knowledge graph databases.
- The system uses automated processes to extract and build contextual knowledge from multiple types of data sources.
- Knowledge graph systems require versioning and belief revision capabilities to support ongoing system development and knowledge maintenance.
- The field uses practical applications for healthcare and legal systems, digital humanities and information verification.
- The evaluation frameworks assess multi-dimensional Knowledge Graph Modeling through three criteria, which include quality, accuracy and usability testing.
- The research presents current knowledge through surveys and theoretical reviews, which point to upcoming research paths.
How We Support Your Submission
- Academic editing and manuscript refinement
- Guidance on research design, conceptual frameworks, and methodology
- Structural and language enhancement for scholarly clarity
- Assistance with journal formatting and submission requirements
- Support for addressing peer-review comments and revisions.
Journal Guidelines:
- All submitted manuscripts must be original and should not be previously published or under consideration for publication in any other journal or conference.
- The final manuscript version requires approval from all listed authors who must demonstrate major research contributions to the study.
- Authors must reveal all potential conflicts of interest together with their funding sources and organisational connections that could affect their study results.
- Manuscripts must strictly follow the Journal of Web Semantics Guide for Authors, which includes guidelines for formatting and structure, referencing style and submission procedures.
- All research involving human participants or sensitive data must comply with ethical standards and obtain necessary approvals where applicable.
- The journal will send all submissions that fulfil its initial requirements through a complete peer-review process that involves two independent expert reviewers.
- Authors must submit their revised manuscripts with corrections from the reviewers within the designated timeframe to achieve successful publication.
Important Dates
Submission Deadline: 15 July 2026
Review Notification: 15 September 2026
Publication: 15 December 2026
To ensure successful and timely submission to the special issue “Multi-dimensional Knowledge Graphs and Multi-perspective Ontologies ,” researchers are encouraged to leverage the expert services of the PhD Assistance Research Lab, offering comprehensive
Free Guide: How to Write the Journal Manuscript
To support researchers, the PhD Assistance Research Lab offers a free comprehensive guide on writing and preparing a high-quality journal manuscript.
Presutti, V. (2026). Call for papers: Multi-dimensional knowledge graphs and multi-perspective ontologies [Special issue]. Journal of Web Semantics. Elsevier. https://www.journals.elsevier.com/journal-of-web-semantics/call-for-papers