Ingeniería del Conocimiento. De la Extracción al Modelado de Conocimiento

Palma, JT and Paniagua-Arís, Enrique and Mart\in , R Ingeniería del Conocimiento. De la Extracción al Modelado de Conocimiento. Inteligencia Artificial, 2000, vol. 11, pp. 46-72. [Journal article (Paginated)]

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English abstract

This paper will attempt to give an overview of the current state in which the knowledge engineering discipline is. An analysis of its historical evolution, analyzing each of the paradigms in which it has been based is essential for understanding the current situation of this discipline. This analysis will allow us to analyze the causes that gave rise to the crisis that occurred in this discipline and what were the measures which were articulated to save it. The work will be completed with a review of the methods used most often and an analysis of the present and future of Knowledge Engineering.

Spanish abstract

En el presente trabajo se intentará dar una visión general del estado actual en el que se encuentra la disciplina Ingeniería del Conocimiento. Para comprender la situación actual de esta disciplina es imprescindible un análisis de su evolución histórica, analizando cada uno de los paradigmas en los que se ha ido basando. Este análisis nos permitirá analizar las causas que dieron lugar a la crisis que se produjo en esta disciplina y cuáles fueron las medidas que se articularon para salvarla. Se concluirá el trabajo con una revisión de las metodologías más utilizadas así como análisis del presente y futuro de la Ingeniería del Conocimiento.

Item type: Journal article (Paginated)
Keywords: Knowledge Engineering
Subjects: I. Information treatment for information services > ID. Knowledge representation.
Depositing user: Enrique E. Paniagua
Date deposited: 10 Aug 2015 05:16
Last modified: 10 Aug 2015 05:16
URI: http://hdl.handle.net/10760/25493

References

[Aben, 1993] M. Aben. CommonKADS infe- rences. Technical Report ESPRIT Project P5248 KADS-II/M2/TR/UvA/041/1.0, Un- viersity of Amsterdam, June 1993.

[Alonso et al., 1995] F. Alonso, N.Juristo [Angele et al., 1996] J. Angele, D. Fensel, and R. Studer. Domain and task modelling in MIKE. In A. Sutchliffe, editor, Domain Kno- wledge for Interactive System Design. Chap- man & Hall, 1996.

J. L. Mat ́e, and J. Pazos. Trends in life- cycle models for SE and KE: Proposal for a spiral-conical life-cycle approach. Interna- tional Journal of Software Engineering and Knowledge Engineering., 5(3):445–465, 1995.

[Angele et al., 1998] J. Angele, S. Decker, R. Perkuhn, and R. Studer. Developing knowledge-based systems with MIKE. Journal of Automated Software Engineering, 5(4):326–389, 1998.

Anjewierden, 1997] A. Anjewierden. CML2. Technical Report 11, University of Amsterdam http://www.swi.psy.uva.nl/usr/anjo/cml2, 1997

[Benjamins and Aben, 1997] R. Benjamins and M. Aben. Structure-preserving knowledge-based system development through reusable libraries: A case study in diagnosis. International Journal of Human-Computer Studies, 47: 259-258, 1997.

[Boehm, 1988] B. W. Boehm. A spiral model of software development and enhancement. IEEE Computer, pages 61–72, May 1988.

[Bonissone and Johnson, 1983] P. P. Bonissone and H. E. Johnson. Expert system for diesel electric automotive repair. Technical report, General Electrics Co., 1983.

[Booch et al., 1997] G. Booch, I. Jacobson, and J. Rumbagh. The UML specifica- tion documents. Technical report, Ra- tional Software Corp., Santa Clara. CA, http://www.rational.com, 1997.

[Brazier et al., 1997] F. M. T. Brazier, B. Dunin-Keplicz, N. Jennings, and J. Treur. DESIRE: Modelling multi-agent systems in a compositional formal framework. Interna- tional Journal of Cooperative Information Systems, 6:67–94, 1997.

[Buchanan et al., 1983] B. G. Buchanan R. Barstow, R. Bechtal, J. Bennet, W. Clan- cey, C. Kulikowsky, T. Mitchell, and D. A. Waterman. Constructing an expert sys- tem. In F. Hayes-Roth, D. A. Waterman, and D. B. Lenat, editors, Building Expert Systems, pages 127–167. Addison Wesley, 1983.

[Chandrasekaran and Johnson, 1993] B. Chan- drasekaran and T. R. Johnson. Generic tas- ks and task structures: History, critique and new directions. In J. M. David, J. P. Krivine, and R. Simmons, editors, Second Generation of Expert Systems, pages 222–272. Springer- Verlag, 1993.

[Chandrasekaran and Mittal, 1983] B. Chan- drasekaran and S. Mittal. Conceptual representation of medical knowledge for diagnosis by computer: Mdx and related systems. In M. Yovits, editor, Advances in Computers, pages 271–293. Academic Press, 1983.

[Chandrasekaran et al., 1979] B. Chandraseka- ran, F. Gomez, S. Mittal, and J. Smith. An approach to medical diagnosis based on con- ceptual structures. In Proc. of the 6th IJCAI, pages 134–142, Tokio, Japan, 1979.

[Chandrasekaran et al., 1992] B. Chandraseka- ran, T. R. Johnson, and J. W. Smith. Task structure analysis for knowledge modeling. Communications fo the ACM, 35(9):124–137, 1992.

[Chandrasekaran, 1983] B. Chandrasekaran. Towards a taxonomy of problem solving types. AI Magazine, 4(1):9–17, 1983.

[Chandrasekaran, 1986] B. Chandrasekaran. Generic tasks in knowledge-based reasoning: High-level building blocks for system desing. IEEE Expert, 1(3):23–30, 1986.

[Clancey, 193] W. J. Clancey. GUIDON. Jour- nal of Computer-Based Instruction, 10(1- 2):8–15, 193.

[Clancey, 1979] W. J. Clancey. Tutoring ru- les for guiding a case method dialogue. In- tenational Journal of Man-Machine Studies, 11(1):25–49, 1979.

[Clancey, 1985] W. J. Clancey. Heuristic cals- sification. Artificial Intelligence, 27:289–350, 1985.

[Cockburn and Jennings, 1996] D. Cockburn and N. R. Jennings. ARCHON: A dis- trubuted artificial intelligence system for industrial applications. In G.. M. P. O’Hare and N. R. Jennings, editors, Foundations of Distributed Artificial Intelligence, pages 319–344. John Willey and Sons, 1996.

[Cuena and Molina, 1994] J. Cuena and M. Molina. KSM: An environment for knowledge oriented design of applications using structured knowledge architectures. In K. Brunnstein and E. Raubold, editors, Applications and Impacts. Information Processing’94, volume 2. Elsevier Science (North Holland), 1994.

[Cuena and Molina, 1997] J. Cuena and M. Molina. KSM; an environment for design structured knowledge models. In Tzafestas, editor, Knowledge-Based Systems: Advanced Concepts, Techniques and Applications. World Sicientific Publishing Company, 1997.

[de Hoog et al., 1994] R. de Hoog, R. Marti- lo, B. Wielinga, R. Taylor, C. Bright, and W. Van de Velde. The CommonKADS mo- del set. Technical Report ESPRIT Project P5248 KADS-II/M1/DM.1b/UvA/018/6.0, University of Amsterdam and Lloyd’s Regis- ter and Touche Ross Management Consul- tans and Free University of Brussels, June 1994.

[Domingue et al., 1993] J. Domingue, E. Mot- ta, and S. Watt. The emerging VITAL wor- kbench. In Proceedings of the 7th European Knowledge Acquisition for Knowledge-Based Systems EKAW’93, pages 320–339, 1993.

[Duda et al., 1978] R. Duda, P. E. Hart, N. J. Nilsson, R. Reboh, J. Slocum, and G. Suther- land. Development of the PROSPECTOR consultation system for mineral explotation. Technical report, Stanford Research Institu- te, 1978.

[Eriksson et al., 1995] H. Eriksson, T. Shahar, S. W. Tu, A. R. Puerta, and M. A. Mu- sen. Task modelling with reusable problem- solving methods. Artificial Intelligence, 79(2):293–326, 1995.

[Eshelman et al., 1993] L. Eshelman, D. Ehret, J. McDermott, and M. Tan. Mole: A tena- cious knowledge-acquisition tool. In B. G. Buchanan and D. C. Wilkins, editors, Re- adings in Knowledge Acquisition and Lear- ning: Automating the Construction and Im- provement of Expert Systems, pages 253–259. Kaufmann, San Mateo, CA, 1993.

[Fensel, 1995] D. Fensel. The Knowledge Acqui- sition and Representation Language KARL. Kluwer Academic Press, 1995.

[Fikes and Nilsson, 1971] R. Fikes and N.N ̃ils- son. STRIPS: A new approach to the applica- tion of theorem proving to problem solving. Artificial Intelligence, 2(3/4):189–208, 1971.

[Fox and Iwasaky, 1984] M. S. Fox and Y. Iwa- saky. ISIS: A knowledge-based system for factory scheduling. Expert Systems, 1(1):25– 49, 1984.

[Friedland and Iwasaky, 1985] P. Friedland and Y. Iwasaky. The concept and imple- mentation of skeletal plans. Journal of Automated Reasoning, 1:161–208, 1985.

[G ́omez and Chandrasekaran, 1981] F. Go ́mez and B. Chandrasekaran. Knowledge organi- sation and distribution for medical diagno- sis. IEEE Transactions on Systems, Man and Cybernetics, 11(1):34–42, 1981.

[Gonz ́alez et al., 1986] A. J. Gonza ́lez, R. L. Osborne, C. Kemper, and S. Lowenfeld. On- line diagnosis of turbine generators using ar- tificial intelligence. IEEE Transaction on Energy Conversion, 1(2):68–74, 1986.

[Guida and Tasso, 1994] G. Guida and C. Tas- so. Design and Development of Knowledge- Based Systems. From Life Cycle to Metho- dology. John Wiley and Sons Ltd., Baffins Lane, Chichester, England, 1994.

[Harmelen et al., 1991] F. Van Harmelen, J. R. Balder, M. Aben, and J. M. Akker- mans. (ml)2: A formal language for KADS conceptual models. Technical Report ESPRIT Project P5248 KADS- II/T1.2/TR/ECN/006/1.0, Netherlands Energy Research Centre ECN and Univer- sity of Amsterdam, June 1991.

[Heckerman and Horovitz, 1986] D. Hec- kerman and E. Horovitz. The myth of modularity in rule-based systems. Technical report, Standford University, 1986.

[Holland et al., 1984] J. D. Holland, E. L. Hut- chings, and L. Weitzman. An interactive, ins- pectable, simulation-based training system. AI Magazine, 5(2):15–27, 1984.

[IEEE, 1999] IEEE. IEEE Standards Soft- ware Engineering. Customer and Termino- logy Standards, volume 1. IEEE, 1999.

[Iglesias-Ferna ́ndez, 1997] Carlos A. Iglesias- Ferna ́ndez. Definici ́on de Una Metodolog ́ıa Para el Desarrollo de Sistemas Multiagentes. PhD thesis, Dpto. de Ingenier ́ıa de Sistemas Telema ́ticos, Universidad Polit ́ecnica de Ma- drid, 1997.

[Jennings et al., 1992] N. R. Jennings, E. H. Mamdani, I. Laresgoiti, J. Perez, and J. Co- rera. GRATE: A general framework for co- operative problem solving. Journal of In- telligent Systems Engineering, 1(2):102–114, 1992.

[Jennings et al., 1996] N. R. Jennings, P. Fara- tin, T. J. Norman, P. O’Brien, M. E. Wie- gand, C. Voudouris, J. L. Alty, T. Miah, and E. H. Mamdani. ADEPT: Managing business processes using intelligent agents. In Proce- edings of the BCS Expert Systems 96 Con- ference ISIP Track, pages 5–23, Cambridge, UK, 1996.

[Kahn, 1994] A. F. Kahn Managing knowledge-based systems development using standard life-cycle techniques. In E. Turban and J. Liebowitz, editors, Ma- naging Expert Systems, pages 120–160. Idea Group Publishing, 1994.

[Landes, 1994] D. Landes. DesignKARL. a lan- guage for design of knowledge-based systems. In Proceedings of the 6th International Con- ference on Software Engineering and Kno- wledge Engeneering SEKE ́94, pages 78–85, 1994.

[Maestre-Yenes, 2000] P. Maestre-Yenes. Dic- cionario de Gestio ́n Del Conocimiento En Inform ́atica. Monograf ́ıas Y Publicaciones. Gestio ́n Del Conocimiento. Fundacio ́n Din- tel, 2000.

[Marcus and McDermott, 1993] S. Marcus and J. McDermott. Salt: A knowledge acquisition language for propose-and-revise systems. In B. G. Buchanan and D. C. Wilkins, editors, Readings in Knowledge Acquisition and Lear- ning: Automating the Construction and Im- provement of Expert Systems, pages 263–281. Kaufmann, San Mateo, CA, 1993.

[McCarthy and Hayes, 1969] K. McCarthy and P. J. Hayes. Some philosophical problems form the standpoint of artificial intelligence. Machine Intelligence, 4:463–502, 1969.

[Mcdermott, 1982] J. Mcdermott. R1: A rule- based configurer of computer systems. Arti- ficial Intelligence, 10(1):39–88, 1982.

[McDermott, 1988] J. McDermott. Prelimi- nary steps towards a taxonomy of problem- solving methods. In S. Marcus, editor, Au- tomating Knowledge Acquisition for Expert Systems, pages 225–256. 1988.

[Miller et al., 1982] R. A. Miller, H. E. Pople, and J. D. Myers. INTERNIST-i, an experi- mental computer-based diagnosis consultant for general internal medicine. New England Journal of Medicine, 37(8):468–476, 1982.

[Mittal and Chandrasekaran, 1984] S. Mit- tal and B. Chandrasekaran. Patrec: A knowledge-directed data-base for a diag- nostic expert system. Computer, 17:51–58, 1984.

[Musen, 1989a] M. A. Musen. Automa- ted Generation of Model-Based Knowledge- Acquisition Tools. Pitam, London, 1989.

[Musen, 1989b] M. A. Musen. An editor for the conceptual models of interactive knowledge acquisition tools. International Journal of Man-Machine Studies, 31:673–698, 1989.

[Musen, 1992] M. A. Musen. Overcoming the limitations of role-limiting methods. Kno- wledge Acquisition, 4(2):165–170, 1992.

[Musen, 1993] M. A. Musen. An overview of knowledges acquisition. In J. M. David, J. P. Krivine, and R. Simmons, editors, Second Generation of Expert Systems, pages 405– 427. Springer Verlag, 1993.

[Neubert, 1993] S.N ̃eubert. Model construc- trion in MIKE. In Knowledge Acquisition for Knowledge-BAsed Systems. Proceedings of the 7th European Workshop EKAE’93 (LNCS No. 723), pages 200–219. Springer- Verlag, 1993.

[Newell and Simon, 1988] A.N ̃ewell and H. A. Simon. GPS: A program that simulates hu- man thought. In A. Collins and E. E. Smith, editors, Readings in Cognitive Science: A Perspective from Psychology and Artificial Intelligence, pages 453–460. Kaufmann, San Mateo, CA, 1988.

[Newell, 1982] Allen Newell. The knowledge le- vel. Artificial Intelligence, 18:87–127, 1982.

[O’Hare and Wooldridge, 1992] G. M. P. O’Hare and M. J. Wooldridge. A software engineering perspective on multi-agent system design. experiece in the development of MADE. In M. Avouris and Les Gesser, editors, Distributed Artificial Intelligence: Theory and Praxis, pages 109–127. Kluwer Academic Publishers, 1992.

[Palma-Méndez, 1999] Jose T. Palma-Méndez. Ingeniería Del Conocimiento Para Sistemas En Tiempo Real Basados En Conocimiento. PhD thesis, Facultad de Informa ́tica, Universidad de Murcia, 1999.

[Puerta et al., 1992] A. R. Puerta, J. W. Egar, S. W. Tu, and M. A. Musen. A multiple-method knowledge-acquisition shell for the automatic generation of knowledge- acquistion tools. Knowledge Acquisition, 4(2):171–196, 1992.

[Rumbaugh et al., 1991] J. Rumbaugh, M. Blaha, W. Premerlani, and V. F. Eddy. Object-Oriented Modelling and Design. Prentice-Hall, New Jersey, 1991.

[Scarl et al., 1987] E. A. Scarl, A. R. Jamieson, and C. I. Delaune. Diagnosis and sensor va- lidation through knowledge of structure and function. IEEE Transaction on System, Man and Cybernetics, 17(3):360–368, 1987.

[Schreiber et al., 1993] G. Schreiber, B. J. Wie- linga, and J. A. Breuker, editors. KADS: A Principle Approach to Knowledge-Based Sys- tem Development. Academic Press, 1993.

[Schreiber et al., 1999] A. T. Schreiber, J. M. Akkermans, A. A. Anjewierden, R. de Ho- og, N. R. Shadbolt, W. Van de Velde, and B. J. Wielinga, editors. Knowledge Engine- ering and Management. The CommonKADS Methodology. MIT Press, Cambridge, Mas- sachusetts. London, England, 1999.

[Shadbolt et al., 1993] N. Shadbolt, E. Motta, and A. Rouge. Constructing knowledge- based systems. IEEE Software, 10(6):34–38, 1993.

[Shaw and Gaines, 1992] M. L. G. Shaw and B. R. Gaines. The synthesis of knowled- ge engineering and software engineering. In P. Loucopoulos, editor, Advanced Informa- tion Systems Engineering (LNCS 593). 1992.

[Shortliffe, 1976] E. H. Shortliffe. Computer- Based Medical Consultations: Mycin. Ame- rica Elsevier, New York, 1976.

[Steels, 1990] L. Steels. Components of exper- tise. AI Magazine, 11(2):30–49, 1990.

[Steels, 1993] L. Steels. The componential fra- mework and its role in reusability. In J. M. David, J. P. Krivine, and R. Simmons, edi- tors, Second Generation of Expert Systems, pages 273–298. Springer-Verlag, 1993.

[Studer et al., 1998] R. Studer, V. R. Benja- mins, and D. Fensel. Knowledge engineering: Principles and methods. Data and Knowled- ge Engineering, (25):161–197, 1998.

[Tu et al., 1995] S. W. Tu, H. Eriksson, J. Gen- nari, Y. Shahar, and M. A. Musen. Ontology- based configuration of problem-solving met- hods and generation of knowledge acquisi- tion tools: Application of PROTE ́GE ́-II to protocol-based decision support. Artificial Intelligence in Medicine, 7:257–289, 1995.

[Wielinga et al., 1994] B. Wielinga, J. M. Akkermans, H. A. Hassan, O. Olsson, K. Orsva ̈rn, A. Schreiber, P. Terpstra, W. Van de Velde, and S. Wells. Exper- tise model definition document. Techni- cal Report ESPRIT Project P5248 /KADS- II/M2/UvA/026/5.0, University of Amster- dam and Free University of Brussels and Net- herlands Energy Research Centre ECN, June 1994.


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