T. T. P. Thi and M. Helfert, “Discovering Dynamic Integrity Rules with a Rules-Based Tool for Data Quality Analyzing,” Proceedings of the 11th International Conference on Computer Systems and Technologies, Sofia, 2010, pp. 89-94.
 D. Batra and N. A. Wishart, “Comparing a Rule-Based Approach with a Pattern-Based Approach at Dif-ferent Levels of Complexity of Conceptual Data Modelling Tasks,” International Journal of Human-Computer Studies, Vol. 61, No. 4, 2004, pp. 397-419. doi:10.1016/j.ijhcs.2003.12.019
 M. C. Lai, H. C. Huang and W. K. Wang, “Designing a Knowledge-Based System for Benchmarking: A DEA Approach,” Journal of Knowledge-Based Systems, Vol. 24, 2011, pp. 662-671. doi:10.1016/j.knosys.2011.02.006
 G. Dondossola, “Formal Methods in the Development of Safety Critical Knowledge-Based Components,” Proceedings of the KR’98 European Workshop on Validation and Verification of KBS, 1998, pp. 232-237.
 A. Onisko, P. Lucas and M. J. Druzdzel, “Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems,” Proceeding of AIME 2001, LNAI, Springer-Verlag Berlin Heidelberg, 2001, pp. 283-292.
 M. S. Abdullah, C. Kimble, I. Benest and R. Paige, “Kn- owledge-Based Systems: A Re-Evaluation,” Journal of K- nowledge Management, Vol. 10, No. 3, 2006, pp. 127-142. doi:10.1108/13673270610670902
 G. J. Nalepa and A. Ligeza, “Prolog-Based Analysis of Tabular Rule-Based Systems with the XTT Approach,” Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006, pp. 426-431.
 E. Liorens, J. Comas, E. Marti, J. L. Riera, F. Sabater and M. Poch, “Integrating Empirical and Heuristic Knowle- dge in a KBS to Approach Stream Eutrophication,” Journal of Ecological Modelling, Vol. 220, 2009, pp. 2162-2172. doi:10.1016/j.ecolmodel.2009.06.012
 S. M. M. Soe and M. P. Zaw, “Design and Implementation of Rule-Based Expert System for Fault Management,” Journal of World Academy of Science, Engineering and Technology, Vol. 48, 2008, pp. 34-39.
 C. Angeli, “Diagnostic Expert Systems: From Expert’s Knowledge to Real-Time Systems,” TMRF e-Book Advanced Knowledge Based Systems: Model, Applications & Research, Sajja & Akerkar, Eds., Vol. 1, 2010, pp. 50-73.
 G. J. Nalepa and A. Ligeza, “The HEKATE Methodology Hybrid Engineering of Intelligent Systems,” International Journal of Appllied Mathematics and Computer Science, Vol. 20, No. 1, 2010, pp. 35-53. doi:10.2478/v10006-010-0003-9
 A. Paschke and A. Kozlenkov, “A Rule-Based Middleware for Business Process Execution,” Proceedings of Multikonferenz Wirtschaftsinfor-matik, MKWI 2008, Mun- chen, GITO-Verlag, Berlin, 2008, pp. 1409-1420.
 M. Ribari?, D. Ga?evi? and M. Milanovi?, “A Rule-Based Approach to Modeling of Semantically-Enriched Web Services,” Web4Web Workshop 2008, International work-shop on Semantic Web Technologies, Belgrade, 2008.
 M. L. Lee, T. W. Ling and W. L. Low, “IntelliClean: A Knowl-edge-Based Intelligent Data Cleaner,” Proceedings of the sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2000, pp. 290-294. doi:10.1145/347090.347154
 J. Liu, Z, Lu, L. M. López and Y. Xu, “ Preference Crite- rion and Consistency in the Rule-Based System Based on a Lattice-Valued Logic,” Proceeding of Eurofuse Work- shop New Trends in Preference Modelling, 2006, pp. 99-104.
 Y. Xu, J. Liu, D. Ruan and T. T. Lee, “On the Consis-tency of Rule Bases Based on Lattice-Valued First-Order Logic LF(X),” International Journal of Intelligent Sys- tems, Vol. 21, No. 4, 2006, pp. 399-424. doi:10.1002/int.20129
 A. Ligeza and G. J. Nalepa, “A Study of Methodological Issues in Design and Development of Rule-Based Systems: Proposal of a New Approach,” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Dis-covery, Vol. 1, No. 2, 2011, pp. 117-137. doi:10.1002/widm.11
 S. Brockmans, P. Haase, P. Hitzler and R. Studer, “A Metamodel and UML Profile for Rule-Extended OWL DL Ontologies,” Proceedings of 3rd European Semantic Web Conference, ESWC, Springer Berlin Heidelberg, Budva, Vol. 4011, 2006, pp. 303-316.
 T. F. Gordon, G. Governatori and A. Rotolo, “Rules and Norms: Requirements for Rule Interchange Languages in the Legal Domain,” Lecture Notes in Computer Science, 2009, Vol. 5858, pp. 282-296. doi:10.1007/978-3-642-04985-9_26
 A. Ligeza and G. J. Nalepa, “Knowl-edge Representation with Granular Attributive Logic for XTT-Based Expert Systems,” Proceeding of the Florida AI Research Society Conference-FLAIRS, 2007, pp. 530-535.
 C. C. Chan and Z. Su, “From Data to Knowledge: An Integrated Rule-Based Data Mining System,” Proceedings of the 17th International Conference of Software Engineering and Knowledge Engineering, Taipei, 2005, pp. 508-513.