SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© Thomson Reuters Journal Citation Reports 2015
To calculate the five year Impact Factor, citations are counted in 2014 to the previous five years and divided by the source items published in the previous five years.
© Journal Citation Reports 2015, Published by Thomson Reuters
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: http://www.semanticwebjournal.org/. Readers are also encouraged to visit the Journal of Web Semantics blog, at http://journalofwebsemantics.blogspot.com/ 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. Interested authors may here find a detailed Call-for-System papers
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.