Journal Information
Journal of Web Semantics
Impact Factor:

Call For Papers
The Journal of Web Semantics is an interdisciplinary journal based on research and applications of various subject areas that contribute to the development of a knowledge-intensive and intelligent service Web. These areas include: knowledge technologies, ontology, agents, databases and the semantic grid, obviously disciplines like information retrieval, language technology, human-computer interaction and knowledge discovery are of major relevance as well. All aspects of the Semantic Web development are covered. The publication of large-scale experiments and their analysis is also encouraged to clearly illustrate scenarios and methods that introduce semantics into existing Web interfaces, contents and services. The journal emphasizes the publication of papers that combine theories, methods and experiments from different subject areas in order to deliver innovative semantic methods and applications.

The Journal of Web Semantics addresses various prominent application areas including: e-business, e-community, knowledge management, e-learning, digital libraries and e-sciences.

The Journal of Web Semantics features a multi-purpose web site, which can be found at: Readers are also encouraged to visit the Journal of Web Semantics blog, at for more information and related links.

The Journal of Web Semantics includes, but is not limited to, the following major technology areas:
• The Semantic Web
• Knowledge Technologies
• Ontology
• Agents
• Databases
• Semantic Grid and Peer-to-Peer Technology
• Information Retrieval
• Language Technology
• Human-Computer Interaction
• Knowledge Discovery
• Web Standards

Major application areas that are covered by the Journal of Web Semantics are:
• eBusiness
• eCommunity
• Knowledge Management
• eLearning
• Digital Libraries
• eScience

Each of these areas is covered by an area editor who supports the editors-in-chief. Furthermore, area editors manage the review process for submitted papers in the respective areas.

The Journal of Web Semantics publishes four types of papers:
• Research papers: Research papers are judged by originality, technical depth and correctness, as well as interest to our target readership. Research papers are recommended to have 15 - 25 pages in double column format.
• Survey papers: We rarely accept survey papers, and beyond a sheer enumeration of relevant methods and systems, we expect a substantial technical insight to be gained by a survey paper. Survey papers are recommended to have 15 - 25 pages in double column format.
• Ontology papers: We publish community-oriented description of ontology papers, if they generate interests from real-world users and semantic Web experts. Ontology papers are recommended to have 6 - 8 pages in double column format. Interested authors may here find a detailed Call-for-Ontology papers
• System papers: Widely adopted semantic systems and systems that generate a far above average amount of interest in the Semantic Web community, may be explained in systems papers. Systems papers are recommended to have 6 - 8 pages in double column format.

Shorter or longer papers are allowable, if the objectives of a paper warrant deviating length. Descriptions that are either unnecessarily short or long will negatively impact chances of acceptance.
Last updated by Dou Sun in 2017-09-15
Special Issues
Special Issue on Web semantics for the Internet/Web of Things
Submission Date: 2017-09-30

The Journal of Web Semantics invites submissions to a special issue on Semantic Web research and technologies specifically for the Internet of Things / Web of Things. The goal is to demonstrate how this area can benefit from specific research contributions and advances of the Semantic Web. The existing global networking infrastructure has facilitated the widespread development of cyber-physical systems, through networks of smart objects, pervasively using the internet for connectivity and communication. These "things" that communicate using Internet protocols and make the results of their computation available in real-time have given rise to rapidly evolving, new paradigms of computing that contribute towards realizing a global, distributed infrastructure with a lot of similarities to the Web. Many areas such as smart cities, smart buildings, social networks, wearables, and large-scale sensor deployments, along with applications in diverse domains such as e-health, agriculture, environmental monitoring and e-commerce already demonstrate significant uptake and impact. However, the exciting and enhanced capabilities of these networks present several unprecedented and complex challenges that need to be overcome before data, device and service interoperability on IoT/WoT networks can deliver all of their predicted potential. Despite being connected, there are a plethora of isolated islands of heterogeneous networks that require heavy lifting of protocols and data, and reconciliation of semantics before they can truly communicate using Internet standards. Additionally, interconnected networks produce a data deluge to the order and scale of big data which will present scalability problems to the network and data analysis and knowledge extraction and management. Besides the well-known paradigm of the Cloud, new approaches such as (mobile) edge computing and fog computing have been proposed to address these problems. The goal is to not transport all data but the relevant data across the Internet. This requires a fundamental rethinking of current architectural paradigms and a decentralization of analysis and knowledge technologies towards the edge and inside the whole Internet. The end of this process may be the convergence of the so far traditionally separated research areas of information processing and communication into a single architectural paradigm. It is clear that semantic technologies will play a vital and central role in achieving this vision. The focus of this special issue is to showcase novel and disrupting approaches for the semantic Web to aid in this mission. The ability to analyze, represent and integrate data into higher level artefacts from very large distributed information sources, the description and management of the data and technical infrastructure and the mutual influences and interactions among technical infrastructures, knowledge creation and use and social aspects are central research questions for researchers, organizations, and governments. This special issue wants to bring together cutting-edge research with particular emphasis on novel and innovative techniques applied to real-world scenarios that showcase the distinguishing benefits through the application of Semantic Web approaches, ontologies, and Linked data principles to the important questions and new challenges raised by IoT/WoT.
Last updated by Dou Sun in 2017-06-18
Special Issue on Web Semantics for Digital Humanities
Submission Date: 2017-10-02

Digital humanities is a new and emerging field, which brings together humanities scholars, social scientists and computer and information scientists to work on agendas of both fundamental and applied research. The field combines digital semantic technologies and (big) digital heritage data. Digital humanities research is typically driven by core questions in each of these disciplines: on the one hand semantic technologies are applied in novel ways in addressing research questions of humanities and social sciences; on the other hand these areas stimulate the development of novel methods in computer and information sciences. This special issue is calling for the submission of novel and impactful research results demonstrating the design, development, evaluation and use of research methods and infrastructures based on Semantic Web technologies for cultural heritage data and use cases in digital humanities scholarship.
Last updated by Dou Sun in 2017-06-18
Special Issue on Ontology Engineering
Submission Date: 2017-11-13

The Journal of Web Semanticsinvites submissions for a special issue on Ontology Engineering to be edited by Valentina Tamma, Matthew Horridge, and Bijan Parsia. Submissions are due by 13 November, 2017 The Web Ontology Language (OWL) became a World Wide Web Consortium standard in 2004. It has since been used in many diverse domains from geography to medicine where many people, groups, and consortia build, maintain and regularly publish high-quality, production-level ontologies. In this time ontology engineering has evolved considerably with the development of new methodologies, techniques, tools, and processes for ontology creation and maintenance. The actual process of creating ontologies has begun to shift from being a small scale, completely manual process to a combination of manual, semi-automated, and programmatic techniques and from single-person or small-group efforts to large-scale collaborative efforts. Concurrently, ontology engineering research, often drawing inspiration from the increasing empirical rigor of the software engineering community, has grown more sophisticated. The goal for this special issue is to provide a venue to showcase the breadth and depth of ontology engineering and ontology engineering research. We are particularly interested in empirical papers which aim to explore or demonstrate the benefits of ontologies to larger efforts or of some technique or tooling on the development of ontologies. We encourage principled methodological diversity and welcome papers with significant methodological interest even if the results are null or negative. In addition to standard research papers, we welcome submission of short case studies or system/ontology/method/application descriptions, though we would encourage more general reviews where possible, reserving short papers for cases with some special focus, novelty, or clear interest. We recommend consulting with the Guest Editors before submission of such papers. We are happy to receive pre-submission of an experimental plan especially if the risk of null results is high and will provide feedback. Topics of interest include (but are not limited to): - Ontology Engineering Research Methodology - Ontology Engineering Methodologies - Ontology Learning (from text, data, or other sources) - Ontology Visualisation - Quality Assurance - Ontology Debugging - Collaborative Ontology Engineering practices - Ontology Engineering workflows - Document based ontology engineering - Continuous Integration for Ontology Engineering - Ontology Testing - Explanation of Entailments in Ontologies - Ontology Comprehension - Ontology Design Patterns - Ontology Versioning, Change, and Evolution - Ontology Engineering Case Studies - Agile Practices in Ontology Engineering - User Studies on Ontology Engineering - Ontology Modularisation - Programmatic Approaches to Ontology Engineering - Problems and Challenges of Reusing Ontologies - Ontology Publishing Strategies - Application of Software Engineering Techniques to Ontology Engineering - Metrics for Ontology Engineering
Last updated by Dou Sun in 2017-09-15
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