Towards a Knowledge-Based Innovation Tutoring System

Abstract We present a knowledge-based approach to implementing a tutoring system for innovation management. The knowledge-based approach proposed aims to solve the pervasive knowledge bottleneck problem of innovation and entrepreneurship. Solving this problem in emerging regions of innovation and entrepreneurship amounts to bridging the knowledge gaps associated with managing processes of technology innovation and entrepreneurship with a view to increasing the global competitiveness of emerging regions of innovation and entrepreneurship. We validated the main hypotheses on which this approach is based using the ICT industry in Chile as a quintessential example of an emerging region of technology innovation and entrepreneurship. We find empirical evidence to suggest that the knowledge-based management system approach proposed is a tenable approach to solving the knowledge bottleneck problem for companies arising out of the ICT industry in Chile and put the case that such an approach might be used to solve this problem in other emerging regions of innovation and entrepreneurship as well.

[1]  Nitin Indurkhya,et al.  Handbook of Natural Language Processing , 2010 .

[2]  Fahiem Bacchus,et al.  Representing and reasoning with probabilistic knowledge , 1988 .

[3]  J.F.A.K. van Benthem,et al.  "Situations, Language and Logic" , 1987 .

[4]  Gert Smolka,et al.  Feature-Constraint Logics for Unification Grammars , 1989, J. Log. Program..

[5]  Hector J. Levesque,et al.  Foundations for the Situation Calculus , 1998, Electron. Trans. Artif. Intell..

[6]  Wendy G. Lehnert,et al.  Information extraction , 1996, CACM.

[7]  John F. Sowa,et al.  Conceptual analysis as a basis for knowledge acquisition , 1992 .

[8]  Ramanathan V. Guha,et al.  Building large knowledge-based systems , 1989 .

[9]  John F. Sowa,et al.  Logical foundations of artificial intelligence: Michael R. Genesereth and Nils J. Nilsson, (Morgan Kaufmann, Los Altos, CA, 1987); 406 + xviii pages , 1989 .

[10]  John F. Sowa,et al.  Knowledge representation: logical, philosophical, and computational foundations , 2000 .

[11]  N. Cocchiarella,et al.  Situations and Attitudes. , 1986 .

[12]  Douglas B. Lenat,et al.  CYC: a large-scale investment in knowledge infrastructure , 1995, CACM.

[13]  Leu,et al.  Social Networks in Silicon Valley , 2006 .

[14]  Lenhart K. Schubert NLog-like Inference and Commonsense Reasoning , 2014, LILT.

[15]  Robert M. MacGregor,et al.  The Evolving Technology of Classification-Based Knowledge Representation Systems , 1991, Principles of Semantic Networks.

[16]  John F. Sowa,et al.  Building large knowledge-based systems: Representation and inference in the cyc project: D.B. Lenat and R.V. Guha , 1993 .

[17]  Drew McDermott Review of Logical Foundations of Artificial Intelligence , 1989, AI Mag..

[18]  Robert G. Cooper,et al.  Perspective: The Stage‐Gate® Idea‐to‐Launch Process—Update, What's New, and NexGen Systems* , 2008 .

[19]  Chung Hee Hwang,et al.  Episodic Logic Meets Little Red Riding Hood: A Comprehensive, Natural Representation for Language Un , 2000 .

[20]  William W. Wilmot,et al.  Innovation: The Five Disciplines for Creating What Customers Want , 2006 .

[21]  Keith Devlin,et al.  Logic and information , 1991 .

[22]  Bernhard Nebel,et al.  Terminological reasoning and Information Management , 1990, IS/KI.

[23]  John F. Sowa,et al.  Principles of semantic networks , 1991 .

[24]  John F. Sowa,et al.  Future Directions for Semantic Systems , 2011 .

[25]  Andreas Pyka,et al.  A Generic Innovation Network Formation Strategy , 2015 .

[26]  Mark S. Granovetter,et al.  The role of venture capital firms in Silicon Valley's complex innovation network , 2009 .

[27]  Marvin Minsky,et al.  A framework for representing knowledge , 1974 .

[28]  John McCarthy,et al.  SOME PHILOSOPHICAL PROBLEMS FROM THE STANDPOINT OF ARTI CIAL INTELLIGENCE , 1987 .

[29]  Ronald J. Brachman,et al.  An overview of the KL-ONE Knowledge Representation System , 1985 .

[30]  Jon Barwise,et al.  An Introduction to First-Order Logic , 1977 .

[31]  Michael Jackman,et al.  Conceptual graphs , 1988 .

[32]  Diego Calvanese,et al.  The Description Logic Handbook: Theory, Implementation, and Applications , 2003, Description Logic Handbook.

[33]  Laura Murray,et al.  The Silicon Valley Edge , 2000 .

[34]  Hector J. Levesque,et al.  Expressiveness and tractability in knowledge representation and reasoning 1 , 1987, Comput. Intell..