The International Journal of Knowledge Processing Studies (IJKPS) is an academic, peer-reviewed, open-access journal published quarterly. KPS is a multidisciplinary journal that seeks to receive and disseminate innovative and insightful articles, book reviews, and field reports from information science, computer science, industrial engineering, and related areas. In addition to scientific and research articles, KPS welcomes reviews of books and new technologies related to the journal's scope.
IJKPS is being published by Ayande Amoozan-e-ATA in collaboration with the Iran Knowledge Management Association (IKMA). The association professionally coordinates research and scientific collaborations in the field of knowledge management. All publications are archived in the local server of Ayande Amoozan -e- ATA (AAA), MagIran, and Civilica databases.
The Journal publishes research in English with a commitment to the rules and standards of scientific research. The Journal review is based on working with peers in the field of pure specialization. Research must be refereed and peer-reviewed before being prepared for publication. The Deanship of Scientific Research assigns two (or three) referees to evaluate the research paper, and if the reading needs modifications, the results will be sent back to the author(s) to make the required revision.
The Journal accepts research papers in knowledge processing and related fields such as:
- Knowledge processing theories and practices
- Knowledge processing algorithms and methodologies
- Disciplines related to knowledge processing
All manuscripts that are being sent for an external peer review, are screened for originality. By submitting their manuscripts to the journal authors are agreeing to any necessary originality checks the manuscript may have to undergo during the publication process.
The International Journal of Knowledge Processing Studies (IJKPS) advocates adherence to the principles of ethics and integrity of science, which is why Iranian authors are required to upload their similarity check announced by IranDoc; and Plagiarism Checker will check the other articles.
The service was created by Iranian developers in 2015 and is actively functioning at academic institutions, universities, publishing houses, etc. in Iran. By automatically comparing the text received from the user with the full text of master's theses and doctoral theses in Irandoc databases, the searcher finds similar writings and reports the amount and sources of their information to the supervisor and the institute.
Transparent and manageable reporting data (search and ability to take properly cited sentences and list of references); colorizing all text similarities and generating a list of links to original sources; automatic determining the characters and letters replacement in the text, as well as the reverse automatic substitution into the text of the correct ones and search for modified version plagiarism; and one-page test rate is 2-4 seconds are the service advantages.
Plagiarism implies the use of another author's work without permission or acknowledgment. Plagiarism may have different forms from copying word by word to rewriting. While defining plagiarism the following definitions are taken into account:
Copying the work word by word, in general, or in parts, without permission or acknowledgment of the source. Literal copying is clearly plagiarism and is easily detected by plagiarism software.
Replicating a substantial part of the work without permission and confirmation of the source. In determining what is "substantial", both the quantity and the quality of the copied content are relevant. Quality is measured by the relative value of copied text compared to the whole text. Where the essence of the work was copied, even if not a very big part of it, plagiarism is identified.
Copying may be made without literal replicating, used in the original work. This type of copying is known as paraphrasing and it may be the most difficult type of plagiarism to reveal.
Plagiarism in all its forms is unacceptable and will lead to immediate rejection of the paper along with possible sanctions against authors.
Open Access Statement
The International Journal of Knowledge Processing Studies (IJKPS) is loyal to open access for academic work, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose. All the articles published in this journal are free to access immediately from the date of publication. We do not charge any fees for any reader to download articles for their own scholarly use.
The International Journal of Knowledge Processing Studies (IJKPS) operates under the Creative Commons Licence CC-BY. This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.