International Journal of Cognitive ScienceCognition is an international journal that publishes theoretical and experimental papers on the study of the mind. It covers a wide variety of subjects concerning all the different aspects of cognition, ranging from experimental studies of behavior and of the brain to formal analysis.Papers will be selected on the basis of their scientific quality, their degree of innovation and their unambiguous theoretical advance to the study of cognition. Paper's overall soundness of the argument and degree of empirical motivation, especially from converging sources, are more important than adherence to specific methodological principles. Studies that selectively focus on the cognitive and neural mechanisms that underlie problems with cognition in clinical populations or on purely methodological questions fall outside the scope of Cognition. Because Cognition enjoys a wide readership from many disciplines, authors should explicitly consider the general theoretical issues raised by their work and its relevance to other topics and methods. Materials should describe work done and methods used in a clear and explicit manner (allowing reproduction of the methods by others).
Displays is a peer reviewed international journal accepting technical, original research papers and tutorial papers dealing with display technologies and applications. The journal welcomes submissions in a wide range of display-related topics, including display technologies, materials, components, methods and systems, display-human interaction, processing and analysis of visual signals, and visual perception. The journal aims to provide a platform for the publication of top quality display-related research works with both academic and industrial appeal.Our dedicated editorial team will try their best to ensure a rapid reviewing process. The journal covers topics include, but not limited to, the following fields:Display-human Interaction• Visual signal processing and computer vision (CV) • Display-human/user interface design and analysis • Image/video quality assessment (IQA/VQA) and quality of experience (QoE) • Visual performance measurement and assessment • Visual perception and its cortical representation • Human factors and ergonomics for displaysDisplay Technology• Emissive/non-emissiv... displays • Flexible displays and E-papers • Materials/components and drive-electronics for displays • 3D displays and virtual/augmented/mi... reality (VR/AR/MR) • Auditory and tactile displays • Computational displaysBenefits 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
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.
Special Issue Proposal Note PMCJ exclusively reviews Special Issue proposal forms submitted here through the designated submission system. Proposals submitted via any other means will not be considered for review. For more information on how to prepare and submit a SI proposal please check https://www.elsevier... and Scope As envisioned by Mark Weiser as early as 1991, pervasive computing systems and services have truly become integral to our daily lives. Tremendous advancements in a multitude of technologies ranging from personalized and embedded smart devices (e.g., smartphones, sensors, wearables, IoT) to ubiquitous connectivity through wireless mobile communications and cognitive networking infrastructures, to advanced computing techniques (including mobile edge/fog/cloud, data analytics and machine learning) and user-friendly middleware services and platforms have significantly contributed to the unprecedented advances in pervasive and mobile computing.Such cutting-edge pervasive technologies and paradigms have led to the convergence of cyber-physical-human systems with applications to smart environments (e.g., smart homes and cities, smart grid, smart transportation, smart health, smart agriculture) with the goal to improve human experience and quality of life without explicit awareness of the underlying communications and computing technologies. Additionally, the huge amount of (real-time) data collected via pervasive devices coupled with advanced data analytic, machine learning and AI (Artificial Intelligence) techniques for reliable prediction and decision-making are making breakthrough research in pervasive computing and applications, such as self-driving cars, predictive maintenance in the industry 4.0 environments, mobile recommendation systems, etc.The Pervasive and Mobile Computing Journal (PMC) is a high-impact, peer-reviewed technical journal that publishes high-quality scientific articles spanning theory and practice, and covering all aspects of pervasive and mobile computing and systems. Topics include, but not limited to: Pervasive Computing and Communications Architectures and ProtocolsPervasive, Mobile and Wearable Computing Systems and ServicesCyber-Physic... Systems and Cyber-Physical-Human SystemsSmart Systems and Applications (smart homes, smart cities, smart manufacturing, smart transportation, smart grid, smart health, smart agriculture, etc.)Human-centric Intelligent SystemsCognitive ComputingTrustworthy AI in Pervasive SystemsMachine Learning and Deep Learning in Pervasive and Mobile ComputingFederated, Distributed and Embedded learning, Learning at-the-edge in Pervasive SystemsLearning on Streaming Data and Continual Learning in Pervasive and Mobile SystemsBig Data and Data Analytics in Pervasive Computing SystemsInternet of Things and Social Internet of ThingsInternet of People and Internet of VehiclesEdge, Fog, Mobile Cloud and Opportunistic Computing in Pervasive and Mobile SystemsEnabling Pervasive Communication Technologies (e.g., wireless LANs, cellular, hybrid, ad hoc and cognitive networks)Wireless Sensors Networks and RFID TechnologiesUrban Sensing and Mobile CrowdsensingParticip... and Social SensingMachine-to-Ma... and Device-to-Device CommunicationsPositi... Localization and Tracking TechnologiesActivity Recognition and TrackingContext-awar... ComputingLocation-ba... Services and ApplicationsPervasiv... Service Creation, Composition, Discovery, Management, and DeliveryHuman User Interfaces and Interaction ModelsTrust, Reliability, Security, and Privacy in Pervasive and Mobile Computing SystemsPerformance Evaluation of Pervasive and Mobile Computing Systems
