International Journal on Semantic Web and Information Systems

Scope & Guideline

Advancing the Frontiers of Semantic Web Research.

Introduction

Welcome to the International Journal on Semantic Web and Information Systems information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of International Journal on Semantic Web and Information Systems, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN1552-6283
PublisherIGI GLOBAL
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2005 to 2024
AbbreviationINT J SEMANT WEB INF / Int. J. Semant. Web Inf. Syst.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address701 E CHOCOLATE AVE, STE 200, HERSHEY, PA 17033-1240

Aims and Scopes

The International Journal on Semantic Web and Information Systems focuses on the integration of semantic web technologies and information systems, emphasizing innovative methodologies that enhance data management, analysis, and application across various domains.
  1. Semantic Web Technologies:
    The journal emphasizes the development and application of semantic web technologies, including ontologies, linked data, and knowledge graphs, to facilitate better data interoperability and understanding.
  2. Data Analysis and Mining Techniques:
    Research published within the journal often explores advanced data analysis and mining techniques, utilizing machine learning, deep learning, and fuzzy logic to derive insights from complex datasets.
  3. Application in Diverse Domains:
    The journal covers a wide range of applications in various fields such as healthcare, cybersecurity, social networks, and environmental studies, showcasing how semantic web technologies can solve real-world problems.
  4. Interdisciplinary Approaches:
    The focus on interdisciplinary methodologies highlights the integration of computer science with fields like social science, healthcare, and environmental science, fostering collaboration across disciplines.
  5. Innovative Frameworks and Models:
    The journal publishes research on developing new frameworks and models, particularly those that leverage semantic technologies for enhanced system functionalities in areas like recommendation systems and decision-making.
Recent publications highlight several emerging themes in the journal, reflecting the evolving landscape of semantic web and information systems research.
  1. Integration of AI and Semantic Technologies:
    There is a growing trend towards integrating artificial intelligence with semantic web technologies, particularly in applications related to healthcare, cybersecurity, and automated decision-making.
  2. Real-Time Data Processing and Analysis:
    Research focusing on real-time data processing, especially in edge computing and IoT contexts, is becoming increasingly prominent, addressing the need for immediate insights and actions based on live data.
  3. Cybersecurity Enhancements through Semantics:
    The application of semantic web technologies to enhance cybersecurity measures, including threat intelligence and intrusion detection, is an emerging theme, driven by increasing security concerns.
  4. Emotion and Sentiment Analysis:
    The field is witnessing a rise in research dedicated to emotion and sentiment analysis using semantic techniques, particularly in social media and user-generated content, reflecting the importance of understanding human emotions in data.
  5. Sustainability and Environmental Applications:
    There is an increasing focus on the application of semantic web technologies to address sustainability challenges, such as environmental monitoring and resource management, showcasing the journal's commitment to addressing global issues.

Declining or Waning

While the journal has seen a surge in certain areas, some themes have begun to lose traction over time, indicating a shift in focus among researchers.
  1. Traditional Semantic Web Applications:
    There has been a noticeable decline in publications focusing on traditional semantic web applications, such as basic ontology development and semantic search, as newer, more complex applications gain prominence.
  2. Static Data Models:
    Research on static data models, which do not incorporate dynamic data processing or real-time analysis, appears to be waning as the field moves towards more adaptive and responsive systems.
  3. Generalized Information Retrieval:
    The exploration of generalized information retrieval methods has decreased, with researchers favoring specialized and context-aware retrieval techniques that leverage semantic understanding.
  4. Low-Dimensional Data Processing:
    There is a reduction in studies focusing on low-dimensional data processing techniques, as the emphasis shifts towards high-dimensional data and advanced computational methods to handle complexity.
  5. Basic Machine Learning Applications:
    The journal has seen a decline in simple machine learning applications that do not integrate semantic features, as the focus turns towards more sophisticated models that combine semantics with advanced learning techniques.

Similar Journals

Data Intelligence

Exploring Innovative Solutions in AI and Information Systems
Publisher: MIT PRESSISSN: Frequency: 4 issues/year

Data 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 Computers Communications & Control

Pioneering Research in Digital Communication and Control
Publisher: CCC PUBL-AGORA UNIVISSN: 1841-9836Frequency: 6 issues/year

The International Journal of Computers Communications & Control, with ISSN 1841-9836 and E-ISSN 1841-9844, is a leading peer-reviewed journal published by CCC PUBL-AGORA UNIV since 2006, dedicated to fostering advancements in the fields of computational theory, computer networks, and applications. Based in Romania, this open access journal is committed to providing a platform for researchers, professionals, and students to disseminate cutting-edge research, innovative methodologies, and significant findings within a rapidly evolving technological landscape. As evidenced by its growing impact, the journal has achieved notable rankings in Scopus, including the 77th percentile in Computational Theory and Mathematics and 62nd percentiles in both Computer Networks and Communications and Computer Science Applications, with category quartiles reflecting its esteemed position in the academic community. The scope is broad, embracing interdisciplinary approaches that connect various dimensions of computer science and communication technologies, making it an essential resource for those looking to stay at the forefront of research and development in these areas.

KNOWLEDGE-BASED SYSTEMS

Empowering Research at the Intersection of Knowledge and Technology
Publisher: ELSEVIERISSN: 0950-7051Frequency: 8 issues/year

KNOWLEDGE-BASED SYSTEMS, published by ELSEVIER, is a leading international journal that has established itself as a cornerstone in the fields of Artificial Intelligence, Information Systems and Management, and Software Development. With an impressive track record of over 35 years in publication, this journal is highly regarded for its significant contributions to the understanding and advancement of intelligent systems, providing a platform for innovative research and applications. It boasts a strong impact factor, maintaining a Q1 ranking across multiple categories, including Management Information Systems and Decision Sciences, reflecting its prestige and relevance in the academic community. Researchers and practitioners alike benefit from access to high-quality, peer-reviewed articles that explore the intersection of knowledge management and transformative technologies. The journal's commitment to fostering interdisciplinary research encourages the dissemination of knowledge that shapes the future of intelligent decision-making processes. With a substantial audience that includes professionals, academics, and students, KNOWLEDGE-BASED SYSTEMS continues to be a vital resource for those at the frontier of technological advancement.

Romanian Journal of Information Science and Technology

Elevating Research Standards in Romania and Beyond
Publisher: EDITURA ACAD ROMANEISSN: 1453-8245Frequency: 4 issues/year

Romanian Journal of Information Science and Technology, published by EDITURA ACAD ROMANE, serves as a distinguished platform for the dissemination of research in the expanding field of information science, specifically focusing on innovative technologies and methodologies. With an impressive Q1 ranking in Computer Science (miscellaneous) and a notable Scopus rank of 57/232 (75th percentile), the journal underscores its commitment to excellence and scholarly rigor. This open-access journal invites researchers, professionals, and students to contribute and engage with cutting-edge studies that shape the landscape of information science. With a publication history dating back to 2008 and continuing into 2024, it plays a vital role in fostering academic exchange and advancing knowledge in Romania and beyond. For those seeking to stay informed of the latest findings and trends, the Romanian Journal of Information Science and Technology is an invaluable resource that reflects the dynamic nature of the discipline.

Journal of Web Engineering

Fostering Excellence in Web Technologies and Engineering
Publisher: RIVER PUBLISHERSISSN: 1540-9589Frequency: 8 issues/year

The Journal of Web Engineering, published by RIVER PUBLISHERS, serves as a pivotal platform for researchers, professionals, and students interested in the expanding fields of web technologies and engineering. Since its inception in 2008, this journal has dedicated itself to advancing knowledge and promoting innovative practices in Computer Networks and Communications, Information Systems, and Software Engineering. With an impressive convergence of research up to 2024, its Q3 quartile ranking in both Computer Networks and Communications and Information Systems reflects the journal's commitment to the dissemination of high-quality, impactful research. Although it operates as a traditional access journal, it allows for vital contributions to be shared widely among a diverse readership. The Journal of Web Engineering's rankings in Scopus, including a percentile placement of 28th in Computer Networks and Communications, demonstrate its relevance and growing significance in the academic landscape. As the digital world continuously evolves, this journal remains a crucial resource for exploring the latest advancements and theoretical reflections within the realm of web engineering.

Big Data

Unveiling the potential of large-scale data.
Publisher: MARY ANN LIEBERT, INCISSN: 2167-6461Frequency: 6 issues/year

Big Data, an esteemed journal published by MARY ANN LIEBERT, INC, serves as a leading platform within the realms of computer science and information systems. Launched in 2013, this journal has made significant strides in shaping the discourse around the management, analysis, and applications of large-scale data. With a commendable impact factor reflected in its 2023 quartile rankings—Q1 in Information Systems and Management, and Q2 in both Computer Science Applications and Information Systems—Big Data is recognized for its quality and influence, holding a notable position in Scopus rankings. Renowned for its rigorous peer-review process, the journal welcomes original research, reviews, and discussions that address the challenges and innovations associated with big data technologies. Researchers, professionals, and students alike will find Big Data an indispensable resource that not only highlights emerging trends but also fosters collaboration and knowledge sharing within the data science community. Access options are available through institutional subscriptions and individual access, ensuring a broad dissemination of critical research findings.

ACM Transactions on the Web

Advancing Web Research for Tomorrow's Innovations
Publisher: ASSOC COMPUTING MACHINERYISSN: 1559-1131Frequency: 4 issues/year

ACM Transactions on the Web is a highly regarded journal published by the Association for Computing Machinery (ACM), focusing on the vast and evolving field of web technologies and their applications. With an impact factor that places it in the Q2 quartile of the Computer Networks and Communications category for 2023, this journal ranks #154 out of 395 in its discipline, showcasing its significance in advancing research and knowledge in the domain. Since its inception in 2007 and continuing through 2024, the journal has been dedicated to publishing original research that contributes to all aspects of web-based systems, applications, and services. ACM Transactions on the Web provides an essential platform for scientists, engineers, and practitioners engaged in web research, offering insights into cutting-edge methodologies and emerging technologies. Readers will appreciate the depth and diversity of articles, which encompass both theoretical and applied research, as well as reviews and case studies. The journal's commitment to quality and rigor makes it a valuable resource for anyone invested in the future of web technologies.

International Journal of Web Information Systems

Driving insights for a connected future.
Publisher: EMERALD GROUP PUBLISHING LTDISSN: 1744-0084Frequency: 4 issues/year

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.

Big Data Research

Catalyzing breakthroughs in analytics and management.
Publisher: ELSEVIERISSN: 2214-5796Frequency: 4 issues/year

Big Data Research, published by Elsevier, is a leading academic journal dedicated to the exploration and advancement of Big Data methodologies and technologies. With an ISSN of 2214-5796, and a commendable impact reflected in its Scopus rankings—ranking Q2 in Computer Science Applications and Q1 in Information Systems—this journal offers a prominent platform for researchers and practitioners to share innovative findings in the realm of data science, analytics, and management. Since its inception in 2014, Big Data Research has fostered a multidisciplinary approach, addressing cutting-edge topics crucial for both academic inquiry and real-world applications. The journal's objectives include advancing the understanding of data-intensive systems, promoting essential methodologies for big data analytics, and enhancing data-driven decision-making processes across various industries. As an open access journal, Big Data Research is committed to disseminating knowledge widely, allowing researchers, professionals, and students to stay at the forefront of developments in this fast-evolving field. Its influence in the academic community is further underscored by a strong commitment to quality and relevance, making it an essential resource for anyone interested in the transformative power of big data.

Journal of Biomedical Semantics

Driving Discoveries in the World of Biomedical Semantics
Publisher: BMCISSN: 2041-1480Frequency: 1 issue/year

The Journal of Biomedical Semantics is a prestigious open-access journal published by BMC since 2010, dedicated to advancing the field of biomedical informatics through the lens of semantics. With an ISSN of 2041-1480, this journal caters to an international audience from its base in the United Kingdom. It focuses on the convergence of computer science, health informatics, and information systems, providing a vital platform for innovative research and knowledge dissemination. The journal is ranked in the second and third quartiles across several relevant categories in 2023, including Q2 in Computer Networks and Communications and Q3 in both Computer Science Applications and Health Informatics. With Scopus rankings highlighting its relevance in various subfields, this journal serves as a critical resource for researchers, professionals, and students alike, promoting high-quality, peer-reviewed articles on topics encompassing advanced computational methods and semantic technologies in healthcare. As a fully open-access resource, it ensures broad accessibility of groundbreaking research findings, making vital contributions to the ever-evolving landscape of biomedical semantics.