Cambridge University Press

The Knowledge Engineering Review Template

Write in a clean editor, then format for The Knowledge Engineering Review in one click — DocuGuru applies the official Cambridge University Press template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the The Knowledge Engineering Review format

The Knowledge Engineering Review is a peer-reviewed journal published by Cambridge University Press, covering AI-based Problem Solving and Planning, Semantic Web and Ontologies, Logic, Reasoning, and Knowledge.

PublisherCambridge University Press
Reference styleNumbered
Numbered — [1], [2] in the text
[1] A. Smith, B. Jones, and C. Lee, A representative article title, The Knowledge Engineering Review 12 (2023) 45–58.

Formats any DOI in the closest standard style — The Knowledge Engineering Review has no published style definition, so this is an approximation. No sign-up.

Publishes research inAI-based Problem Solving and Planning Semantic Web and Ontologies Logic, Reasoning, and Knowledge Multi-Agent Systems and Negotiation Service-Oriented Architecture and Web Services
ISSN0269-8889
Citation impact (2-yr)3.15
h-index99
i10-index467
Total citations50,583
Top institutions publishing hereUniversity of Edinburgh
Journal websitejournals.cambridge.org
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in The Knowledge Engineering Review per year

27
2014
24
2015
38
2016
18
2017
24
2018
30
2019
39
2020
15
2021
10
2022
10
2023
11
2024
10
2025

Citation impact of The Knowledge Engineering Review by publication year

790
2014
424
2015
606
2016
294
2017
485
2018
884
2019
511
2020
380
2021
80
2022
41
2023
52
2024
17
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in The Knowledge Engineering Review

Intelligent agents: theory and practice

Michael Wooldridge, Nicholas R. Jennings · 1 Jun 1995

Abstract The concept of an agent has become important in both artificial intelligence (AT) and mainstream computer science. Our aim in this paper is to point the reader at what we perceive to be the most important theoretical and practical issues associated with the design and construction of intelligent agents. For convenience, we divide these…

6,665 citations Cite SaveGo to paper →
Ontologies: principles, methods and applications

Mike Uschold, Michael Grüninger · 1 Jun 1996

Abstract This paper is intended to serve as a comprehensive introduction to the emerging field concerned with the design and use of ontologies. We observe that disparate backgrounds, languages, tools and techniques are a major barrier to effective communication among people, organisations and/or software understanding (i.e. an “ontology”) in a given subject area, can improve…

3,479 citations Cite SaveGo to paper →
Software agents: an overview

Hyacinth S. Nwana · 1 Sep 1996

Abstract Agent software is a rapidly developing area of research. However, the overuse of the word “agent” has tended to mask the fact that, in reality, there is a truly heterogeneous body of research being carried out under this banner. This overview paper presents a typology of agents. Next, it places agents in context, defines…

1,588 citations Cite SaveGo to paper →
Ontology mapping: the state of the art

Yannis Kalfoglou, Marco Schorlemmer · 1 Jan 2003

Ontology mapping is seen as a solution provider in today's landscape of ontology research. As the number of ontologies that are made publicly available and accessible on the Web increases steadily, so does the need for applications to use them. A single ontology is no longer enough to support the tasks envisaged by a distributed…

The Enterprise Ontology

Mike Uschold, M. King, STUART MORALEE et al. · 1 Mar 1998

This is a comprehensive description of the Enterprise Ontology, a collection of terms and definitions relevant to business enterprises. We state its intended purposes, describe how we went about building it, define all the terms and describe our experiences in converting these into formal definitions. We then describe how we used the Enterprise Ontology and…

The Knowledge Engineering Review template — frequently asked questions

How do I write a paper in the The Knowledge Engineering Review format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the The Knowledge Engineering Review template. When you export, DocuGuru compiles the paper into the official Cambridge University Press format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does The Knowledge Engineering Review use?
The Knowledge Engineering Review uses Numbered references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: [1] A. Smith, B. Jones, and C. Lee, A representative article title, The Knowledge Engineering Review 12 (2023) 45–58.
Do I need to know LaTeX to submit to The Knowledge Engineering Review?
No. DocuGuru generates the null LaTeX class and compiles the PDF for you in the background, so you get a Cambridge University Press-ready The Knowledge Engineering Review document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the The Knowledge Engineering Review template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the The Knowledge Engineering Review format with correct headings, figures, tables, and numbered citations.
Who publishes The Knowledge Engineering Review?
The Knowledge Engineering Review is a multidisciplinary journal published by Cambridge University Press. DocuGuru's The Knowledge Engineering Review template matches Cambridge University Press's official submission format.
Can I export a submission-ready The Knowledge Engineering Review PDF?
Yes — DocuGuru produces a PDF built with the official The Knowledge Engineering Review template (the null class) that is ready to submit to Cambridge University Press, together with the matching LaTeX source files.
How much does the The Knowledge Engineering Review template cost?
You can start writing in the The Knowledge Engineering Review template for free. Exporting the final submission-ready The Knowledge Engineering Review PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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