Abstract
Traditional knowledge based systems were developed as the desktop applications. Meanwhile, web applications have grown rapidly and have had significant impact on the application of such systems. In the presented work, we introduce the modified goal-driven inference algorithm which allow us to divide some parts of them into the client and server layers of the web application. Proposed approach assumes that the rule knowledge base is decomposed into the decision oriented group of rules. We argue that the knowledge base in the form of such rules group contains enough information, which allows to divide inference into the client and server side, ensuring the convenience and the effectiveness.
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References
Grzymala-Busse, J.W.: Managing uncertainty in expert systems, vol. 143. Springer Science & Business Media, Berlin (1991)
Walton, D.N.: Practical reasoning: goal-driven, knowledge-based, action-guiding argumentation, vol. 2. Rowman & Littlefield, Lanham (1990)
Smith, D.E.: Controlling Inference. Stanford University, Stanford (1985)
Grove, R.: Internet‐based expert systems. Expert systems 17.3 (2000)
Dunstan, N.: Generating domain-specific web-based expert systems. Expert systems with applications 35 (2008)
Acquired Intelligence Home Page. http://aiinc.ca
Exsys Home Page. http://www.exsys.com
JESS Information. http://herzberg.ca.sandia.gov
Canadas, J., Palma, J., Túnez, S.: A Tool for MDD of rule-based web applications based on OWL and SWRL. Knowl Eng Softw Eng 1 (2010)
Ho, K.K.L., Lu, M.: Web-based expert system for class schedule planning using JESS. In: Information Reuse and Integration, IRI-2005 IEEE International Conference (2005)
XpertRule Home Page. http://www.xpertrule.com
eXpertise2Go’s Rule-Based Expert System. http://expertise2go.com
The SWI-Prolog Home Page. http://www.swi-prolog.org
Li, D., Fu, Z., Duan, Y.: Fish-expert: a web-based expert system for fish disease diagnosis. Expert Syst Appl 23(3) (2002)
Zetian, F., Feng, X., Yun, Z., XiaoShuan, Z.: Pig-vet: a web-based expert system for pig disease diagnosis. Expert Syst Appl 29(1) (2005)
Simiński, R., Manaj, M.: Implementation of expert subsystem in the web application—selected practical issues. Studia Informatica 36(1) (2015)
Nowak-Brzezińska, A.: KbExplorator a inne narzędzia eksploracji regułowych baz wiedzy. Studia Informatica 36(1) (2015)
Nowak-Brzezińska, A., Simiński, R.: Knowledge mining approach for optimization of inference processes in rule knowledge bases, LNCS 7567, pp. 534–537. Springer, Berlin (2012)
Simiński, R.: Extraction of Rules Dependencies for Optimization of Backward Inference Algorithm, Beyond Databases, Architectures, and Structures, Communications in Computer and Information Science, Springer International Publishing, vol. 424, pp. 191–200. Springer, Berlin (2014)
Nowak-Brzezińska, A., Simiński, R.: New inference algorithms based on rules partition. In: CS&P 2014, Informatik-Berichte, vol. 245. Humboldt-University, Chemnitz, Germany (2014)
Acknowledgements
This work is a part of the project “Exploration of rule knowledge bases” founded by the Polish National Science Centre (NCN: 2011/03/D/ST6/03027).
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Simiński, R., Nowak-Brzezińska, A. (2016). Goal-Driven Inference for Web Knowledge Based System. In: Wilimowska, Z., Borzemski, L., Grzech, A., Świątek, J. (eds) Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part IV. Advances in Intelligent Systems and Computing, vol 432. Springer, Cham. https://doi.org/10.1007/978-3-319-28567-2_9
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DOI: https://doi.org/10.1007/978-3-319-28567-2_9
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