Adoption of the Semantic Web for overcoming technical limitations of knowledge management systems

New information technology is a core factor enabling innovation in knowledge management (KM). The purpose of this study is to analyze the limitations of current KM systems and to propose an approach for applying the Semantic Web to KM. We analyzed the factors that affect KM system user dissatisfaction through a survey. We found that inconvenience, search and integration were statistically significant limitation factors for system quality. On the other hand, incongruence and untrustworthiness of knowledge were significant limitation factors for knowledge quality. Finally, we suggest methods for applying the Semantic Web to KM as an alternative overcoming the technical limitations of current KM systems.

[1]  J. Stevens.  Applied Multivariate Statistics for the Social Sciences , 1986 .

[2]  Huajun Chen,et al.  The Semantic Web , 2011, Lecture Notes in Computer Science.

[3]  Stefan Decker,et al.  Creating Semantic Web Contents with Protégé-2000 , 2001, IEEE Intell. Syst..

[4]  Alon Y. Halevy,et al.  Semantic Integration , 2005, AI Mag..

[5]  Ian Horrocks,et al.  OWL-QL - a language for deductive query answering on the Semantic Web , 2004, J. Web Semant..

[6]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[7]  Steffen Staab,et al.  KAON SERVER - A Semantic Web Management System , 2003, WWW.

[8]  Alina M. Chircu,et al.  Limits to value in electronic commerce-related IT investments , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[9]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[10]  Ronald E. Giachetti,et al.  A framework to review the information integration of the enterprise , 2004 .

[11]  F. Damanpour,et al.  Organizational innovation and performance: The problem of "organizational lag." , 1984 .

[12]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[13]  Peter B. Seddon.  A Respecification and Extension of the DeLone and McLean Model of IS Success , 1997, Inf. Syst. Res..

[14]  Pirkko Walden,et al.  Barriers and drivers in the adoption of current and future mobile services in Finland , 2007, Telematics Informatics.

[15]  I. Nonaka,et al.  The Concept of “Ba”: Building a Foundation for Knowledge Creation , 1998 .

[16]  Frank van Harmelen,et al.  A semantic web primer , 2004 .

[17]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[18]  Dieter Fensel,et al.  Towards the Semantic Web: Ontology-driven Knowledge Management , 2002 .

[19]  John S. Edwards,et al.  Knowledge management systems: finding a way with technology , 2005, J. Knowl. Manag..

[20]  Steve Cayzer,et al.  Semantic blogging and decentralized knowledge management , 2004, CACM.

[21]  Eric Tsui,et al.  The role of IT in KM: where are we now and where are we heading? , 2005, J. Knowl. Manag..

[22]  Arun Rai,et al.  Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis , 2002, Inf. Syst. Res..

[23]  Ghassan Beydoun,et al.  Evolving semantic web with social navigation , 2007, Expert Syst. Appl..

[24]  James A. Hendler,et al.  The Semantic Web" in Scientific American , 2001 .

[25]  Amrit Tiwana,et al.  Integrating knowledge on the Web , 2001, IEEE Internet Computing.

[26]  Nassim Belbaly,et al.  Corporate Portal: A Tool for Knowledge Management Synchronization , 2004, Int. J. Inf. Manag..

[27]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[28]  Alan R. Hevner,et al.  Design Science in Information Systems Research , 2004, MIS Q..

[29]  Mathieu d'Aquin,et al.  Knowledge editing and maintenance tools for a semantic portal in oncology , 2005, Int. J. Hum. Comput. Stud..

[30]  Uday R. Kulkarni,et al.  A Knowledge Management Success Model: Theoretical Development and Empirical Validation , 2006, J. Manag. Inf. Syst..

[31]  Michael Uschold,et al.  Ontologies and semantics for seamless connectivity , 2004, SGMD.

[32]  Peter Tyndale.  A taxonomy of knowledge management software tools: origins and applications , 2002 .

[33]  G Stix,et al.  The mice that warred. , 2001, Scientific American.

[34]  Clyde W. Holsapple,et al.  The inseparability of modern knowledge management and computer-based technology , 2005, J. Knowl. Manag..

[35]  S. Brooks,et al.  Applied Multivariate Statistics for the Social Sciences , 1993 .

[36]  Theodoros Evgeniou,et al.  Barriers to Information Management , 2005 .

[37]  Dorothy E. Leidner,et al.  Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues , 2001, MIS Q..

[38]  Harry Chen,et al.  An ontology for context-aware pervasive computing environments , 2003, The Knowledge Engineering Review.

[39]  Leela Damodaran,et al.  Barriers and facilitators to the use of knowledge management systems , 2000, Behav. Inf. Technol..

[40]  Wanda J. Orlikowski,et al.  Research Commentary: Desperately Seeking the "IT" in IT Research - A Call to Theorizing the IT Artifact , 2001, Inf. Syst. Res..

[41]  J. Stevens,et al.  Applied multivariate statistics for the social sciences, 4th ed. , 2002 .

[42]  Hüseyin Tanriverdi,et al.  Information Technology Relatedness, Knowledge Management Capability, and Performance of Multibusiness Firms , 2005, MIS Q..

[43]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[44]  Robert J. Kauffman,et al.  Limits to value in electronic commerce-related IT investments , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[45]  John G. Breslin,et al.  Semantic social network portal for collaborative online communities , 2005, Journal of European Industrial Training.