1552-6283
Published by: IGI Global Publishing
http://www.igi-global.com/journal/international-journal-semantic-web-information/1092
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 543 | 16 | 24 | 11 |
International Journal on Semantic Web and Information Systems focuses largely on the fields of Information retrieval, World Wide Web, Semantic Web, Ontology (information science) and Linked data. International Journal on Semantic Web and Information Systems explores topics in Information retrieval which can be helpful for research in disciplines like Set (abstract data type) and Natural language processing. The close relationship between Semantics and Metadata is one of the points of interest dissected in World Wide Web research.
In International Journal on Semantic Web and Information Systems, Context (language use), The Internet and Knowledge base are investigated in conjunction with one another to address concerns in Semantic Web research. Research in Ontology (information science) tackled falls within the umbrella of Artificial intelligence. The concepts on Linked data presented in the journal can also apply to other research fields, including RDF and Data science.
The work on RDF presented in it focuses on SPARQL in particular. International Journal on Semantic Web and Information Systems focused on Semantic Web Stack research but expanded to cover Semantic grid. The Social Semantic Web study tackled is a key component of adjacent topics in the area of Data Web.
The journal articles mainly deal with areas of study such as World Wide Web, Semantic Web, Information retrieval, Ontology (information science) and Semantic Web Stack. The World Wide Web studies presented in the published papers encompass related topics like Social Semantic Web, Web standards and Social network and also examine its connection to subjects such as Reputation system. The journal papers facilitate discussions in Semantic Web Rule Language and Linked data as part of the larger field of Semantic Web, however, they also tackle fields such as Semantic Sensor Web.
The scientific interests tackled in the journal are Information retrieval, Ontology (information science), Course (navigation), Artificial intelligence and Natural language processing. The featured works in Linked data and Topic model, which all belong in the domain if Information retrieval, also overlaps with concepts under Prospecting. Issues in Ontology (information science) were discussed, taking into consideration concepts from other disciplines like Class (computer programming), Information extraction and General Data Protection Regulation.
Aside from Course (navigation), the journal also covered works in other subjects like Higher education, Curriculum and New product development. Artificial intelligence research featured in it incorporates concerns from various other topics such as Temporal database and Code (cryptography). The subject of Sentiment analysis, which is connected to the field of Happiness and Social media, serves as the foundation of the Code (cryptography) research featured in International Journal on Semantic Web and Information Systems.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in International Journal on Semantic Web and Information Systems (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in International Journal on Semantic Web and Information Systems (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 4.55% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 9.52% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.52% of all publications and 80.95% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
While delving into the research topics surrounding Semantic Web and Information Systems, it is essential to understand how this knowledge can be put into practice. Particularly, understanding how a degree or expertise in these fields can provide ample career opportunities, is a crucial part of the exploration.
For instance, in the education sector, an individual with a strong foundation in Information Systems could take up a role as a teacher or an academic coach. Notably, sectors like private schooling, which has a reputation for upholding high educational standards, may present promising opportunities. However, to answer questions like "Do private school teachers need a degree in Maine?", aspiring educators should closely follow academic prerequisites and job descriptions provided by the institutions.
Apart from teaching roles, career pathways in corporations, technological startups, and research institutions are other prominent avenues that benefit from a strong understanding of Semantic Web and Information Systems. Therefore, while the International Journal on Semantic Web and Information Systems provides comprehensive insights into the research aspects of these fields, it also indirectly opens doors to an array of career prospects.
Aakanksha Tewari;Brij B. Gupta
(2020)Adebayo Adewumi Abayomi-Alli;Oluwasefunmi 'Tale Arogundade;Sanjay Misra;Mulkah Opeyemi Akala
(2021)Nick Bassiliades
(2020)For students interested in advancing their education beyond a bachelor's degree, online doctorate degrees offer a flexible way to achieve the highest academic credentials without compromising work or personal commitments. These programs are designed to accommodate busy professionals seeking to specialize deeply in computer science or related fields.
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