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Aims & Scope

The Journal of Knowledge Engineering and Data Science (KEDS) stands as a trailblazing platform committed to advancing the frontiers of knowledge engineering and data science. KEDS distinguishes itself by integrating cognitive informatics with advanced data intelligence, offering a unique blend that pushes the boundaries of traditional research paradigms.

At the core of KEDS's mission lies the exploration of cognitive foundations in data modeling. The journal aims to inspire innovative data models that transcend conventional representations, emphasizing human-like understanding and adaptability. By unraveling the cognitive underpinnings, KEDS seeks to redefine the very fabric of how we conceptualize and model data structures.

KEDS endeavors to bridge the gap between symbolic representation and neural-inspired models. This involves pioneering research into neuro-symbolic knowledge representation techniques, fostering a new era of hybrid models that combine the best of both worlds. The journal strives to be a leader in exploring novel ways to represent knowledge, influenced by the intricate workings of the human mind.

Advancing languages and techniques for manipulating data, KEDS focuses on integrating human cognitive patterns. By placing emphasis on interpretability and usability, the journal seeks to develop data manipulation languages that resonate with the inherent ways humans comprehend and interact with information, thus making data systems more intuitive.

In the pursuit of intelligent systems, KEDS pioneers research into architectures inspired by cognitive science and informatics. This involves designing systems with human-like learning, reasoning, and problem-solving capabilities. By infusing cognitive architectures, the journal aims to redefine the landscape of intelligent systems, ushering in a new era of adaptable and insightful computational entities.

KEDS places a significant emphasis on methodologies and tools that prioritize user-centric design principles in the creation of data and knowledge systems. This approach ensures that these systems seamlessly align with human cognitive processes, providing a user experience that is not only efficient but also cognitively intuitive.

Ethics and human-centric considerations take center stage in knowledge acquisition. KEDS explores the ethical dimensions of acquiring knowledge, addressing concerns related to fairness, transparency, and the alignment of knowledge systems with fundamental human values. This approach ensures that the development of intelligent systems is not only technologically advanced but also socially responsible.

In the realm of security, KEDS delves into novel strategies that incorporate cognitive principles to build trust in data systems. This includes addressing privacy, integrity, and interpretability concerns through innovative approaches that enhance the cognitive security of data systems.

Revolutionizing data administration strategies, KEDS seeks to adapt dynamically to evolving cognitive patterns. This involves creating a harmonious interplay between human cognition and data management, ensuring that data administration is responsive to the nuanced and dynamic nature of cognitive environments.

KEDS serves as a showcase for applications that leverage cognitive informatics and data intelligence to solve real-world challenges. From healthcare to finance and smart cities, the journal highlights how cognitive data science can be applied to diverse domains, revolutionizing our approach to complex problem-solving.

Lastly, KEDS unveils and evaluates cutting-edge tools that empower data scientists with intelligent capabilities. The goal is to make data science more intuitive, accessible, and impactful by providing tools that harness the power of cognitive informatics and data intelligence.

In conclusion, the Journal of Knowledge Engineering and Data Science (KEDS) invites researchers and practitioners to contribute groundbreaking work that reshapes the landscape of knowledge engineering and data science. KEDS is dedicated to fostering a community at the forefront of cognitive data research, driving innovation and transformative advancements in the intelligent processing of information. Join us in shaping the future of cognitive informatics and data intelligence.