[DL] Enjoy Latest Research from The Knowledge Engineering Review

ker at maxapress.com ker at maxapress.com
Fri Apr 24 10:06:05 CEST 2026


Enjoy Latest Research from The Knowledge Engineering Review

Dear Colleague,

We would like to share a selection of recommended articles published by 
*/The Knowledge Engineering Review/*, which is indexed in SClE, Scopus, 
etc. The editorial board of */The Knowledge Engineering Review/*is led 
by Prof. *Guilin Qi*(Southeast University, China) and Prof. *Arijit 
Khan*(Bowling Green State University, the United States), and is 
comprised of active researchers and experts in specialized areas of 
artificial intelligence from around the world 
  (https://www.maxapress.com/ker/editorial_board).

Enjoy the papers published by */The Knowledge Engineering Review/*:

[1] Kumar R, Singh K. Mining of high utility itemsets from incremental 
datasets: a survey. /The Knowledge Engineering Review/. 2025;40:e1. 
doi:10.1017/S0269888925000013 
<https://www.cambridge.org/core/journals/knowledge-engineering-review/article/mining-of-high-utility-itemsets-from-incremental-datasets-a-survey/3ABF8A2F15846B6F7417255B9B3881A4>

[2] Dussin Bampi M, Ourique de Morais W, Isabelle Olszewska J, Pignaton 
De Freitas E. *Ontology-driven monitoring system for ambient assisted 
living.*/The Knowledge Engineering Review/. 2025;40:e2. 
doi:10.1017/S0269888925000037 
<https://www.cambridge.org/core/journals/knowledge-engineering-review/article/ontologydriven-monitoring-system-for-ambient-assisted-living/284F3A8A4E9C6B214C26F97058797BBE>

[3] Bai J, Geng X, Deng J, et al. *A comprehensive survey on advertising 
click-through rate prediction algorithm.*/The Knowledge Engineering 
Review/. 2025;40:e3. doi:10.1017/S0269888925000025 
<https://www.cambridge.org/core/journals/knowledge-engineering-review/article/comprehensive-survey-on-advertising-clickthrough-rate-prediction-algorithm/C11C54F5D365D280A58CE051D9B52DE6>

[4] Baldoni M, Baroglio C, Micalizio R, Tedeschi S. *Exception handling 
in multi-agent oriented programming.*/The Knowledge Engineering Review/. 
2025;40:e4. doi:10.1017/S0269888925000050 
<https://www.cambridge.org/core/journals/knowledge-engineering-review/article/exception-handling-in-multiagent-oriented-programming/0CE4A9AC0DE4EDDF2B818B8315AE2CF8>

[5] Adamo G, Di Francescomarino C, Ghidini C. *A business process 
meta-model: construction from the literature and ontological 
clarifications.*/The Knowledge Engineering Review/. 2025;40:e5. 
doi:10.1017/S0269888925000049 
<https://www.cambridge.org/core/journals/knowledge-engineering-review/article/business-process-metamodel-construction-from-the-literature-and-ontological-clarifications/CEF1E656083E50D7FC36C68DFB60D44B>

[6] Ding K, Vamplew P, Foale C, Dazeley R. *An empirical investigation 
of value-based multi-objective reinforcement learning for stochastic 
environments.*/The Knowledge Engineering Review/. 2025;40:e6. 
doi:10.1017/S0269888925100052 
<http://cambridge.org/core/journals/knowledge-engineering-review/article/an-empirical-investigation-of-valuebased-multiobjective-reinforcement-learning-for-stochastic-environments/8E7FBFE87C9A7E6B2E534F1396116331>

[7] Saetti A, Scala E. *Optimally stable plan repair.*/The Knowledge 
Engineering Review/. 2025;40:e7. doi:10.1017/S0269888925100076 
<https://www.cambridge.org/core/journals/knowledge-engineering-review/article/optimally-stable-plan-repair/DD03D400C759C63E399338832020F689>

[8] Haldimann JP, Beierle C, Kern-Isberner G. *Inductive inference from 
weakly consistent belief bases.*/The Knowledge Engineering Review/. 
2025;40:e8. doi:10.1017/S0269888925100088 
<https://www.cambridge.org/core/journals/knowledge-engineering-review/article/inductive-inference-from-weakly-consistent-belief-bases/B96A228D8258C2B0C0AA8AC41994CF8D>

[9] Baumann R, Heine A-M. *Characterizing conflict-free and naive 
labellings—realizabiliy, uniqueness and patterns of redundancy.*/The 
Knowledge Engineering Review/. 2025;40:e9. doi:10.1017/S0269888925100064 
<https://www.cambridge.org/core/journals/knowledge-engineering-review/article/characterizing-conflictfree-and-naive-labellingsrealizabiliy-uniqueness-and-patterns-of-redundancy/4030245310AD066E6FB64B852902CD90>

[10] Soularidis A, Doumanas D, Kotis K, Vouros GA. *Automating agentic 
collaborative ontology engineering with role-playing simulation of 
LLM-powered agents and RAG technology.*/The Knowledge Engineering 
Review/. 2025;40:e10. doi:10.1017/S026988892510009X 
<https://www.cambridge.org/core/journals/knowledge-engineering-review/article/automating-agentic-collaborative-ontology-engineering-with-roleplaying-simulation-of-llmpowered-agents-and-rag-technology/C4DFC9BD18020226B4CC763BE7056659>

Further details can be found on the journal's website: 
https://www.maxapress.com/ker


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