•  
  •  
 

Policies

Review Process

Editors first review the submitted manuscript, called initial review by the editors. It will be desk evaluated whether the submitted manuscript is suitable for the Knowledge Engineering and Data Science based on focus and scope, similarity score by using Crosscheck-iThenticate, methodological flaw, readability of the articles, and adhering to the submitted paper template.
Furthermore, the manuscript will be sent to at least three anonymous reviewers (Single-Blind Peer-Review).

The anonymous reviewers' comments are then sent to the corresponding author for necessary actions and responses. Afterward, the editorial team meeting suggested the final decision to the revised manuscript by authors.

Finally, the Editor will send the final decision to the corresponding author.
The accepted manuscript then continued to the copyediting and layout editing process to prepare the camera-ready paper.

Review Outcomes

Utilizing feedback from the peer review process, the Editor will make a final publication decision. . Decisions categories include:

  • Reject - Rejected manuscripts will not be published, and authors will not have the opportunity to resubmit a revised version of the manuscript to Knowledge Engineering and Data Science.
  • Resubmit for Review– The submission needs to be re-worked, but with significant changes, it may be accepted. However, It will require a second round of review.
  • Accept with Revisions - Manuscripts receiving an accept-pending-revisions decision will be published in Knowledge Engineering and Data Science under the condition that Minor or Major modifications are made. Revisions will be reviewed by an editorial team to ensure necessary updates are made prior to publication.
  • Accept - Accepted manuscripts will be published in the current form, with no further modifications required.

{ top }

Policy of Screening for Plagiarism

Papers submitted to the Knowledge Engineering and Data Science will be screened for plagiarism using CrossCheck/iThenticate plagiarism detection tools. Knowledge Engineering and Data Science will immediately reject papers leading to plagiarism or self-plagiarism.

Before submitting articles to reviewers, those are first checked for similarity/plagiarism tool, by a member of the editorial team. The papers submitted to the Knowledge Engineering and Data Science must have a similarity level of less than 10% (Exclude Bibliography), and the similarity score to each source is no more than 3%.

Plagiarism is the exposure of another person’s thoughts or words as though they were your own, without permission, credit, or acknowledgment, or because of failing to cite the sources properly. Plagiarism can take diverse forms, from literal copying to paraphrasing the work of another. To accurately judge whether an author has plagiarized, we emphasize the following possible situations:

  • An author can literally copy another author’s work- by copying word by word, in whole or in part, without permission, acknowledge or citing the original source. This practice can be identified by comparing the original source and the manuscript/work who is suspected of plagiarism.
  • Substantial copying implies an author to reproduce a substantial part of another author, without permission, acknowledge, or citation. The substantial term can be understood both in terms of quality as quantity, being often used in the context of Intellectual property. Quality refers to the relative value of the copied text in proportion to the work as a whole.
  • Paraphrasing involves taking ideas, words, or phrases from a source and crafting them into new sentences within the writing. This practice becomes unethical when the author does not properly cite or does not acknowledge the original work/author. This form of plagiarism is the more difficult form to be identified.

{ top }

Advertising Policy

At present, the journal does not publish any advertisements.

{ top }

Authors who publish with KEDS agree to the following terms: Authors retain copyright and grant KEDS right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share (copy and redistribute the material in any medium or format) and adapt

(remix, transform, and build upon the material) the work for any purpose, even commercially with an acknowledgement of the work's authorship and initial publication in International Journal of Advances in Intelligent Informatics.

{ top }

Open Access Policy

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.

{ top }