DATA & KNOWLEDGE ENGINEERING
Scope & Guideline
Advancing the Frontiers of Data Management
Introduction
Aims and Scopes
- Data Engineering and Management:
Research in this area includes the development of techniques for efficient data storage, retrieval, and processing, particularly in the context of big data and NoSQL systems. - Knowledge Representation and Ontologies:
This scope covers the creation and application of ontologies for knowledge management, semantic retrieval, and data integration, facilitating better understanding and interoperability among systems. - Artificial Intelligence and Machine Learning:
Studies focus on integrating AI techniques with data engineering, including the use of machine learning algorithms for data analysis, predictive modeling, and decision support systems. - Process Modeling and Analysis:
Research in this area emphasizes the design and optimization of business processes, often utilizing data-driven approaches to enhance operational efficiency. - Data Quality and Governance:
This scope addresses methodologies for ensuring data quality, as well as frameworks for data governance, emphasizing the importance of trustworthy data in decision-making. - Big Data Analytics and Applications:
This area explores algorithms and frameworks for analyzing large datasets across various applications, aiming to extract valuable insights and knowledge.
Trending and Emerging
- Explainable AI and Interpretability:
With a growing emphasis on transparency in AI models, research focusing on explainable AI is becoming increasingly important, particularly in sensitive domains like healthcare. - Data Ecosystems and Governance:
The exploration of frameworks for managing complex data ecosystems and ensuring data governance has gained momentum, reflecting the need for robust data management practices. - Integration of AI with IoT:
As the Internet of Things (IoT) continues to expand, the integration of AI with IoT for smarter data collection and analysis is emerging as a key theme, driving innovation in various applications. - Advanced Machine Learning Techniques:
There is a notable rise in research focusing on sophisticated machine learning techniques, including deep learning and hybrid models, which are being applied to complex data challenges. - Semantic Data Retrieval:
Research on improving semantic search and retrieval mechanisms is trending, highlighting the need for more effective ways to access and utilize large datasets.
Declining or Waning
- Traditional Database Management Systems:
There is a noticeable decline in research focused on conventional relational database management systems, possibly due to the rise of NoSQL and big data technologies that offer more flexibility and scalability. - Basic Data Mining Techniques:
As more advanced methodologies and machine learning approaches gain traction, traditional data mining techniques are being overshadowed, leading to a reduced emphasis on simpler algorithms. - Generic Applications of Data Analytics:
Research that applies data analytics in a one-size-fits-all manner is decreasing, as there is a growing preference for context-specific and domain-driven applications. - Static Knowledge Bases:
The focus on static knowledge representation is waning in favor of dynamic, evolving knowledge systems that can adapt to new information and contexts. - Descriptive Analytics:
There is a shift away from purely descriptive analytics toward more predictive and prescriptive analytics, indicating a demand for deeper insights and actionable recommendations.
Similar Journals
KSII Transactions on Internet and Information Systems
Pioneering Research for a Digital Tomorrow.KSII Transactions on Internet and Information Systems is a leading academic journal dedicated to advancing the fields of Internet technology and information systems. Published by the KSII-Kor Soc Internet Information, this journal has established itself as a significant contributor to research since its inception in 2007, with a focus on innovative solutions and methodologies in computer networks and communications as well as information systems. With a Category Quartile of Q3 in both fields for 2023, it ranks in the 44th percentile among its peers according to Scopus, making it a reputable platform for authors to share their findings. While available in print, the journal also promotes open access, ensuring broad dissemination of research findings. The editorial team is committed to maintaining high scholarly standards and relevance, inviting contributions from researchers, professionals, and students eager to push the boundaries of knowledge in today's rapidly evolving digital landscape. For those engaged in or studying these dynamic fields, the KSII Transactions on Internet and Information Systems remains an invaluable resource for cutting-edge research.
Business & Information Systems Engineering
Innovating Solutions for the Digital AgeBusiness & Information Systems Engineering is a premier journal dedicated to the intersection of business and information systems, published by SPRINGER VIEWEG-SPRINGER FACHMEDIEN WIESBADEN GMBH in Germany. With an impressive 2023 impact factor placing it in the Q1 category in Information Systems, this journal stands out for its rigorous peer-reviewed research that addresses the dynamic challenges faced by businesses in the digital age. Spanning from 2009 to 2024, it showcases empirical studies, theoretical frameworks, and practical applications, ensuring relevance for both researchers and practitioners alike. As part of the Scopus rankings, it is recognized within the top 93rd percentile in the field of Computer Science, specifically Information Systems, ranking #26 out of 394 journals. Currently, the journal operates under a non-open access model, thus providing a platform for high-quality research while maintaining exclusivity. Engaging with this journal is essential for anyone looking to stay at the forefront of developments in business and technology integration.
COMPUTERS & ELECTRICAL ENGINEERING
Empowering Innovation in Technology and Engineering.COMPUTERS & ELECTRICAL ENGINEERING is a premier academic journal published by PERGAMON-ELSEVIER SCIENCE LTD, based in the United Kingdom. Established in 1973, the journal has consistently contributed to the fields of Computer Science, Control and Systems Engineering, and Electrical and Electronic Engineering. With an impressive impact factor and ranked in the top quartile (Q1) across these domains, it is recognized as a pivotal resource for researchers, practitioners, and students alike. The journal aims to disseminate high-quality research articles, reviews, and technical notes, with the goal of advancing understanding and fostering innovation within and beyond its scope. Researchers can enjoy unparalleled access to cutting-edge findings and technological advancements through contributions that span both theoretical frameworks and practical applications, making it an essential platform for anyone dedicated to exploring the intersections of these dynamic fields.
Frontiers of Information Technology & Electronic Engineering
Transforming Ideas into Impact in Technology and EngineeringFrontiers of Information Technology & Electronic Engineering, published by Zhejiang University Press, is a leading academic journal dedicated to advancing the fields of information technology and electronic engineering. With an impressive impact factor and categorized in the Q2 quartile across multiple fields including Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture, and Signal Processing, this journal serves as a crucial platform for researchers and practitioners to disseminate cutting-edge research and innovations. The journal, which operates under an Open Access model, ensures that high-quality research is accessible to a global audience, fostering collaboration and knowledge sharing within the scientific community. Based in Hangzhou, China, and in operation since 2015, it has rapidly established itself as a reputable source of scholarly articles, ranking in the top percentiles in its respective categories with commendable Scopus rankings. By bridging academic research and practical applications, Frontiers of Information Technology & Electronic Engineering plays a pivotal role in shaping the future of engineering and technology.
Intelligent Data Analysis
Advancing the Frontiers of Intelligent Data AnalysisIntelligent Data Analysis is a highly regarded journal published by IOS Press, specializing in the fields of Artificial Intelligence, Computer Vision, and Pattern Recognition. With its ISSN 1088-467X and E-ISSN 1571-4128, the journal has been a cornerstone of scholarly communication since its inception in 1997, serving as a vital resource for researchers, professionals, and students engaged in advancing methodologies and applications in intelligent data analysis. The journal maintains its significance with impressive Scopus ranks, indicating its notable position within the academic community. Although currently not an Open Access journal, Intelligent Data Analysis offers a wealth of insights and findings, encouraging collaboration and knowledge exchange among its readership. With an impact factor reflective of its rigorous selection processes, the journal traverses a broad range of topics, contributing to ongoing discussions and innovations in its field. As the journal looks toward shaping future research until 2024 and beyond, it remains a pivotal platform for disseminating cutting-edge research and fostering academic inquiry.
ADVANCED ENGINEERING INFORMATICS
Unlocking the Potential of Artificial Intelligence in EngineeringADVANCED ENGINEERING INFORMATICS is a prestigious journal published by Elsevier Science Ltd, dedicated to the interdisciplinary fields of Artificial Intelligence and Information Systems. Established in 2002, this journal serves as a vital platform for researchers and practitioners to disseminate groundbreaking insights and innovations that shape the future of engineering and technological integration. With an impressive impact factor and ranked in the Q1 category for both Artificial Intelligence and Information Systems in 2023, it holds a prominent position, with Scopus rankings placing it in the 92nd percentile among 394 journals in Computer Science Information Systems and the 87th percentile among 350 journals in Computer Science Artificial Intelligence. ADVANCED ENGINEERING INFORMATICS embraces an Open Access model, ensuring that cutting-edge research is accessible to a global audience, fostering collaboration and development across academic and professional circles. The journal is committed to advancing knowledge and influencing practice, paving the way for the next generation of technologies that enhance engineering informatics.
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
Unlocking the Potential of Intelligent Information SystemsThe Journal of Intelligent Information Systems, published by Springer since 1992, is a premier academic journal that offers a multidisciplinary platform in the fields of Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems, and Software. With an impressive impact reflected in its 2023 Q2 category rankings across multiple domains and a commendable standing in the Scopus Rankings—ranking #84 in Computer Networks and Communications and #101 in Artificial Intelligence—the journal is recognized for its contribution to advancing knowledge and innovation. Although it is not an open-access journal, its accessibility through institutional subscriptions ensures that a wide range of researchers, professionals, and students can engage with high-quality, peer-reviewed research that addresses the latest advancements and trends in intelligent systems. For over three decades, this journal has effectively bridged gaps between academia and industry, making it a vital resource for those aiming to push boundaries in intelligent information systems.
ACM Journal of Data and Information Quality
Empowering Researchers with Quality Data InsightsThe ACM Journal of Data and Information Quality, published by the Association for Computing Machinery (ACM), stands as a distinguished platform for disseminating cutting-edge research in the field of data and information quality. With an impact factor indicative of its scholarly influence, this journal has been pivotal in advancing understanding in Information Systems and Information Systems and Management, as evidenced by its Q2 quartile ranking in 2023. Covering a wide range of topics from data governance to data analytics, the journal aims to bridge theoretical research and practical applications, appealing to a diverse audience of researchers, professionals, and students. The journal's comprehensive scope, along with its ongoing commitment to high-quality submissions since its inception in 2009, ensures that it remains a vital resource for those seeking to enhance their knowledge and expertise in the rapidly evolving landscape of data and information quality.
Data Intelligence
Driving the Future of AI and Computer Science ApplicationsData Intelligence, published by MIT PRESS, is an influential open-access journal dedicated to advancing knowledge within the intersecting fields of Artificial Intelligence, Computer Science Applications, and Information Systems. Since its inception in 2019, it has rapidly established itself as a leading academic platform, achieving impressive rankings—including Q2 in its principal categories for 2023—demonstrating its impact and relevance in these dynamic fields. With an E-ISSN of 2641-435X, Data Intelligence aims to bridge theoretical research and practical applications, providing a venue for scholars and practitioners to disseminate innovative research and ideas. The journal's commitment to open access ensures that cutting-edge research is accessible to a broad audience, fostering collaboration and knowledge sharing among the global community of researchers, professionals, and students. Located in Cambridge, MA, Data Intelligence continues to pave the way for transformative insights in the realm of data-driven technologies through its rigorous peer-reviewed content and a wide array of interdisciplinary perspectives.
International Journal of Web Information Systems
Pioneering research for the evolving web landscape.The International Journal of Web Information Systems is a distinguished publication dedicated to advancing the field of web information systems, offering a platform for high-quality research and innovative practices. Published by EMERALD GROUP PUBLISHING LTD in the United Kingdom, this journal has established itself as a vital resource for researchers, practitioners, and academics from various disciplines, particularly in Computer Networks and Communications and Information Systems, as evidenced by its ranking in the 2023 quartile assessments (Q3) and Scopus rankings. With an H-index reflecting its impact within the academic community and a publication window spanning from 2005 to 2024, the journal is committed to fostering scholarly exchange and collaboration. While it currently does not have open access options, it provides valuable insights and breakthroughs that are essential for professionals and students navigating the ever-evolving digital landscape.