Journal of Web Semantics

Scope & Guideline

Fostering a Vibrant Community of Web Semantics Innovators.

Introduction

Immerse yourself in the scholarly insights of Journal of Web Semantics with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1570-8268
PublisherELSEVIER
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 2003 to 2024
AbbreviationJ WEB SEMANT / J. Web Semant.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The Journal of Web Semantics focuses on the intersection of semantic technologies, knowledge graphs, and their applications in various domains. It aims to advance research in the development and utilization of semantic web technologies, fostering innovative methodologies and frameworks.
  1. Knowledge Graph Construction and Utilization:
    The journal emphasizes research on the creation, management, and application of knowledge graphs, exploring techniques for integrating heterogeneous data sources and enhancing data interoperability.
  2. Semantic Data Management and Ontology Engineering:
    A core focus is on ontology design, alignment, and management, examining how these can be effectively applied to facilitate semantic data access and enhance data representation.
  3. Artificial Intelligence and Machine Learning Integration:
    The journal explores the intersection of semantic web technologies with AI and ML, particularly in areas like explainable AI, accountability in machine learning, and the use of semantic embeddings.
  4. Applications in Various Domains:
    Research published in the journal often highlights the application of semantic technologies in diverse fields such as healthcare, cultural heritage, and social networks, demonstrating the broad impact of these technologies.
  5. Interoperability and Standardization:
    The journal discusses the importance of interoperability among different systems and data formats, advocating for standards that facilitate seamless interaction and data exchange.
The Journal of Web Semantics is witnessing exciting developments in its research focus, with several emerging themes that reflect current trends and advancements in the field. This section outlines these trends.
  1. Decentralized Semantic Technologies:
    Recent publications have increasingly explored concepts related to decentralized systems, particularly in the context of blockchain and decentralized autonomous organizations (DAOs), highlighting the growing interest in how these technologies can enhance data sovereignty and trust.
  2. Explainable AI and Accountability:
    There is a rising trend towards research that seeks to make AI systems more transparent and accountable, particularly through the lens of knowledge graphs, reflecting the industry's demand for responsible AI practices.
  3. Integration of Semantic Web and Machine Learning:
    An emerging theme is the integration of semantic web technologies with machine learning techniques, focusing on how knowledge graphs can enhance ML models, particularly in areas such as zero-shot learning and knowledge graph embeddings.
  4. Temporal and Spatial Data Interlinking:
    Recent works emphasize the interlinking of temporal and spatial data within knowledge graphs, which is crucial for applications in geospatial analysis and dynamic data environments.
  5. Health and Biomedical Applications:
    There is a noticeable increase in research addressing semantic technologies in healthcare and biomedical fields, particularly in constructing knowledge graphs for health-related data and improving data interoperability.

Declining or Waning

While the Journal of Web Semantics continues to thrive in various research areas, certain themes have shown a decline in focus over recent years. This section highlights these waning topics.
  1. Traditional Semantic Web Applications:
    There has been a noticeable reduction in publications focusing on traditional semantic web applications that do not leverage advanced technologies or innovative methodologies, indicating a shift towards more complex and integrated approaches.
  2. Static Ontologies:
    Research on static ontologies, which do not evolve or adapt over time, appears to be decreasing as the field moves towards dynamic and adaptable semantic frameworks that can better handle real-time data.
  3. Basic Semantic Reasoning Techniques:
    The focus on foundational reasoning techniques has diminished, with more emphasis now placed on advanced reasoning methods that incorporate machine learning and deep learning paradigms.
  4. General Surveys on Semantic Technologies:
    There seems to be a waning interest in generic surveys covering broad topics in semantic technologies, as researchers seek more specific studies that delve into niche areas or emerging trends.
  5. Manual Data Annotation and Integration:
    Research centered around manual processes for data annotation and integration is declining, reflecting a trend towards automated and scalable solutions that utilize AI and machine learning.

Similar Journals

Machine Learning and Knowledge Extraction

Advancing Insights in Machine Learning and Data Extraction
Publisher: MDPIISSN: Frequency: 4 issues/year

Machine Learning and Knowledge Extraction, published by MDPI, is an esteemed Open Access journal that has been at the forefront of disseminating cutting-edge research since its inception in 2019. Based in Switzerland, this journal has established itself as a significant contributor to the fields of Artificial Intelligence and Engineering, currently ranking in the Q2 category in Artificial Intelligence and Q1 in Engineering (miscellaneous) for 2023. With a notable Scopus ranking, it holds the 35th position out of 204 in Engineering, placing it in the 83rd percentile, while it ranks 127th out of 350 in Computer Science, reaching the 63rd percentile. Machine Learning and Knowledge Extraction serves as a vital platform for researchers, professionals, and students alike, promoting insightful discussions, innovative methodologies, and profound discoveries in machine learning and data extraction techniques. The journal's open access model ensures that groundbreaking research is widely accessible, fostering collaboration and advancing knowledge across various disciplines.

Semantic Web

Connecting Ideas, Innovating Solutions in Semantic Web
Publisher: IOS PRESSISSN: 1570-0844Frequency: 6 issues/year

Semantic Web is a leading scholarly journal dedicated to the advancement of research in the area of semantic web technologies and their applications. Published by IOS PRESS, the journal has established itself as a vital resource for scholars and practitioners since its inception in 2010, with a continued focus on fostering interdisciplinary collaboration through its publication of pioneering research in Computer Networks and Communications, Computer Science Applications, and Information Systems. The journal currently holds a prestigious Q2 ranking across these categories and is indexed in Scopus, reflecting its strong academic impact with rankings in the top 20% of its field. Although the journal operates under a subscription model, it remains committed to disseminating high-quality research that addresses contemporary issues in the semantic web domain. As the field continues to evolve, Semantic Web seeks to facilitate innovation, collaboration, and the development of standards, making it an essential outlet for researchers, professionals, and students keen on exploring the transformative potential of semantic technologies.

Acta Cybernetica

Connecting Scholars to Pioneering Cybernetic Research.
Publisher: UNIV SZEGED, FAC SCIENCEISSN: 0324-721XFrequency: 2 issues/year

Acta Cybernetica, published by the University of Szeged, Faculty of Science, serves as a vital platform for researchers and practitioners in the fields of computational theory, computer science, and engineering. With an ISSN and E-ISSN of 0324-721X, this Hungarian journal has been disseminating valuable research since 1990 and is projected to continue through 2024. Although it currently holds a Q4 ranking in multiple categories—including computational theory, computer vision, and theoretical computer science—its impact lies in fostering innovative research discussions and multidisciplinary collaborations. Scholars in its specialized fields will find a wealth of insights that contribute to emerging trends and developments. While Acta Cybernetica is not an open-access journal, it remains an essential resource for advancing knowledge and practices within its academic community.

WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS

Innovating the Future of Web Research
Publisher: SPRINGERISSN: 1386-145XFrequency: 4 issues/year

WORLD WIDE WEB - INTERNET AND WEB INFORMATION SYSTEMS, published by Springer, is a leading academic journal that focuses on the cutting-edge areas of Internet technologies and web-based information systems. With an esteemed ISSN of 1386-145X and an E-ISSN of 1573-1413, this journal has been a significant contributor to the fields of Computer Networks and Communications, Hardware and Architecture, and Software since its inception in 1998. The journal consistently ranks in the Q1 category across these fields, reflecting its high impact and relevance, evidenced by its impressive Scopus rankings where it stands in the upper percentiles (79th for Computer Networks and Communications, 77th for Hardware and Architecture, and 75th for Software). Researchers, professionals, and students looking to stay at the forefront of web information systems will find a wealth of valuable resources and innovative research compellingly presented in this journal, available for publication until 2024.

International Journal of Web Information Systems

Illuminating the path to digital excellence.
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.

Journal of Web Engineering

Unveiling the Future of Web Engineering Research
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.

KNOWLEDGE AND INFORMATION SYSTEMS

Unlocking Insights in Information Systems and AI
Publisher: SPRINGER LONDON LTDISSN: 0219-1377Frequency: 12 issues/year

KNOWLEDGE AND INFORMATION SYSTEMS, published by SPRINGER LONDON LTD, is a distinguished journal in the field of information systems, artificial intelligence, and human-computer interaction. With its ISSN 0219-1377 and E-ISSN 0219-3116, this journal has built a robust reputation since its inception, featuring a convergence of valuable research from 2005 through 2024. Catering to a diverse academic audience, it is classified among the leading journals in its category, proudly holding a Q1 ranking in Information Systems and Q2 rankings in multiple other domains. The journal aims to publish cutting-edge research that not only advances theoretical understanding but also provides practical applications within these rapidly evolving fields. Although it is not an Open Access journal, subscribers can access a wealth of knowledge critical for researchers, practitioners, and students looking to enhance their expertise. With a 2023 Scopus rank placing it within the 66th percentile for Information Systems, KNOWLEDGE AND INFORMATION SYSTEMS is an invaluable resource for those committed to pushing the frontiers of knowledge in technology and information science.

International Journal of Semantic Computing

Advancing the Frontier of Semantic Technologies
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 1793-351XFrequency: 4 issues/year

The International Journal of Semantic Computing is a premier scholarly publication focused on the intersection of artificial intelligence, computer networks, and linguistics, published by World Scientific Publishing Co PTE Ltd. Since its inception in 2007, this journal has strived to advance the field of semantic computing by promoting innovative research and interdisciplinary collaboration among professionals and academics. With a diverse scope that spans across various categories including Artificial Intelligence, Information Systems, and Linguistics, it boasts commendable rankings, particularly in the fields of Linguistics (77th Percentile) and Linguistics and Language (Rank #259/1167). The journal caters to a broad audience by offering critical insights and cutting-edge studies, thereby contributing significantly to knowledge enhancement in semantic technologies and computational linguistics. Although it does not offer open access options, its rigorous peer-review process ensures the publication of high-quality research that is invaluable for both researchers and students seeking to deepen their understanding in these rapidly evolving areas.

Natural Language Semantics

Pioneering Research in the Semantics of Communication
Publisher: SPRINGERISSN: 0925-854XFrequency: 4 issues/year

Natural Language Semantics, published by Springer, is a premier journal that has established itself as an essential platform in the fields of linguistics and philosophy. Since its inception in 1992, the journal has dedicated itself to advancing the understanding of natural language meaning through rigorous research and innovative methodologies. With its impressive Q1 ranking in both Linguistics and Language and Philosophy as of 2023, and a notable Scopus ranking in the 85th percentile within the Arts and Humanities, this journal is at the forefront of scholarly discourse. Authors and researchers contribute high-impact, peer-reviewed articles that explore topics ranging from semantics, pragmatics, to the intersections of philosophy of language. Though not an open-access publication, it provides maximum accessibility through various distribution channels, ensuring widespread dissemination of knowledge. Researchers, professionals, and students will find Natural Language Semantics a critical resource that not only informs but also inspires future inquiry in the analysis of meaning.

MACHINE TRANSLATION

Connecting worlds through cutting-edge translation research.
Publisher: SPRINGERISSN: 0922-6567Frequency: 4 issues/year

MACHINE TRANSLATION, published by Springer, is a premier academic journal dedicated to the interdisciplinary fields of Artificial Intelligence, Linguistics, and Software Development. With its origins dating back to 1989, the journal has played a crucial role in disseminating cutting-edge research and advancements in machine translation technologies. The journal holds a distinguished Q3 ranking in Artificial Intelligence and Q1 in Linguistics and Language for 2023, underlining its relevance and impact in the linguistic and computational research communities. Despite coverage discontinuation in Scopus, it continues to have impressive rank positions in various categories, including 31st percentile for Language and Linguistics and 112th for Artificial Intelligence. Researchers, professionals, and students can access a wealth of impactful articles that explore the latest methodologies, tools, and applications in the domain of machine translation, solidifying its importance for anyone vested in the future of language technology.