Journals in Database management
Journals in Database management
- ISSN: 0169-023X
Data & Knowledge Engineering
Database Systems and Knowledgebase Systems share many common principles. Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems. DKE achieves this aim by publishing original research results, technical advances and news items concerning data engineering, knowledge engineering, and the interface of these two fields.DKE covers the following topics:1. Representation and Manipulation of Data & Knowledge: Conceptual data models. Knowledge representation techniques. Data/knowledge manipulation languages and techniques.2. Architectures of database, expert, or knowledge-based systems: New architectures for database / knowledge base / expert systems, design and implementation techniques, languages and user interfaces, distributed architectures.3. Construction of data/knowledge bases: Data / knowledge base design methodologies and tools, data/knowledge acquisition methods, integrity/security/m... issues.4. Applications, case studies, and management issues: Data administration issues, knowledge engineering practice, office and engineering applications.5. Tools for specifying and developing Data and Knowledge Bases using tools based on Linguistics or Human Machine Interface principles.6. Communication aspects involved in implementing, designing and using KBSs in Cyberspace.Plus... conference reports, calendar of events, book reviews etc.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center
- ISSN: 1570-8268
Journal of Web Semantics
The Journal of Web Semantics (JWS) is an interdisciplinary forum at the intersection of the Semantic Web, Knowledge Graphs (KGs), and Artificial Intelligence (AI), with a strong emphasis on both theoretical and applied research. Building on its foundation as a venue for exploring knowledge-intensive and intelligent Web technologies, JWS recognizes the pivotal role that KGs and Semantic Web (SW) technologies play in the evolving AI landscape, particularly amid recent breakthroughs in Generative AI, neuro-symbolic systems, and autonomous agents.JWS seeks to capture the critical convergence between symbolic and statistical approaches to AI, focusing on the methods, architectures, and foundational theories that drive the integration of Semantic Web and KG technologies with machine learning, deep learning, Large Language Models (LLMs), and other AI techniques. The journal encourages contributions that not only demonstrate impactful applications but also advance the theoretical understanding of how structured, semantic knowledge can enhance intelligent systems.We welcome high-quality submissions that include, but are not limited to, the following areas:Theoretical Foundations and Methodological AdvancesFormal Models and Representations: New theoretical frameworks and formalisms for KGs, ontologies, reasoning, and semantic data management, including studies on expressivity, consistency, change management, and evolution in complex or dynamic systems.Hybrid and Neuro-Symbolic Architectures: Methodological insights into combining symbolic knowledge representation with sub-symbolic learning, including formal characterizations of neuro-symbolic systems and architectures.KG-AI Integration Methods: Novel algorithms and frameworks that tightly couple KGs with AI methods in ways that yield results unattainable by either approach alone, including Logic Augmented Generation and reasoning-enhanced learning.Evaluation and Benchmarking: Research on robust evaluation methodologies for KG-AI systems, with attention to correctness, scalability, data quality, reliability, interpretability, and accountability. Applied and Interdisciplinary ResearchCross-Discip... Studies: Integrative work drawing from ontology engineering, databases, NLP, machine learning, human-computer interaction, and cognitive science, among others, with clear theoretical or methodological contributions.Domain Applications: Real-world use cases showing how KGs and SW technologies enable or enhance AI in specific domains: Healthcare and Life Sciences, Education, Legal Tech, Scientific Discovery, Smart Cities, Industry, Finance, Cultural Heritage, Art and Creativity, etc.Engineering, Resources, and System IntegrationKG Engineering Automation: AI-driven approaches to the (semi-)automatic creation, population, alignment, and refinement of KGs and ontologies, especially using LLMs and foundation models.System Descriptions and Architectures: Descriptions of integrated KG-AI systems, with technical insights into issues such as hallucination mitigation, knowledge retrieval, cross-modal integration, and interaction design.Auditing, Explanation, and Governance: Research on how KGs contribute to transparency, robustness, and auditability of AI systems, including formal representation of workflows, provenance, and ethical constraints.Data and Knowledge Resources: Descriptions of high-impact ontologies, datasets, benchmarks, and tools that enable research or deployment in SW/AI integration. JWS is especially interested in papers that address current and future challenges in the field, including:Modelling expressivity for complex systemsKnowledge engineering automationIntegratio... of heterogeneous data and knowledge sourcesScalable, efficient reasoning with large-scale KGsAccessibility and usability of semantic systemsProvenance, privacy, and interoperability in AI-KG ecosystemsSocietal impacts, costs, risks, and sustainability of KG-based AIEvaluation of semantic methods and systems Finally, we value contributions that demonstrate real-world impact and uptake, including usability studies, deployment evaluations, and comparative analyses with alternative technologies.By promoting both foundational insights and practical innovations, JWS aims to remain a leading venue for advancing the role of Semantic Web and Knowledge Graph technologies in shaping the future of Artificial Intelligence.
- ISSN: 0736-5853
Telematics and Informatics
An Interdisciplinary Journal on the Social Impacts of New TechnologiesTelemati... and Informatics is an interdisciplinary journal publishing innovative theoretical and methodological research on the social, economic, geographic, political, and cultural impacts of digital technologies. Application areas include smart cities, sensors and information fusion, the digital society and digital platforms, internet of things (IoT), cyber-physical technologies, privacy, knowledge management, distributed work, emergency response and hazards, mobile and wireless communications, health informatics, psychosocial effects of social media, ICT for sustainable development, blockchain, e-commerce, and e-government.The Journal favors research papers (8,000 words) but will consider contributions offering systematic review and meta-analysis (10,000 words), as well as research notes (4,000 words) that seek to advance new ideas, theoretical perspectives or methodological approaches.Telematic... and Informatics serves as an international outlet for information scientists, data scientists, computer scientists, social informaticists, geographic information scientists, urban and regional planners, policy analysts, regional scientists, disaster scientists, and network scientists.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center