Linked data paradigm for enterprises: information integration and value chain

Data integration in enterprises is a crucial but at the same time costly and challenging problem. While business-critical information is stored in ERP, CRM, SCM and in Content Management systems the integration of such becomes even more critical when integrating with the growing information space on the Web. The IT industry has developed over the last decade integration solutions based on Master Data Management, Business Intelligence and the Service Oriented Architecture. However, we become increasingly aware that such technologies are not sufficient to ultimately solve all data integration challenges. Under the vision of context-aware services and integration we propose to apply the technology of the Linked Data paradigm. This approach seems to be promising, as scientists in the evolution of the Semantic Web have used it. We discuss Linked Data approaches in relation to the value chain and information integration of heterogeneous content and present an example of a CRM business process applying the Linked Data principles.

[1]  Felix Naumann,et al.  Data fusion , 2009, CSUR.

[2]  Christian Bizer,et al.  DBpedia spotlight: shedding light on the web of documents , 2011, I-Semantics '11.

[3]  Joann J. Ordille,et al.  Data integration: the teenage years , 2006, VLDB.

[4]  Edward I. Altman,et al.  FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY , 1968 .

[5]  Jianchang Mao,et al.  Enterprise Search: Tough Stuff , 2004, ACM Queue.

[6]  Питерсон Дж. Теория сетей Петри и моделирование систем , 1984 .

[7]  P. K. Anokhin Биология и нейрофизиология условного рефлекса , 1968 .

[8]  Jeffrey L. Whitten,et al.  Systems Analysis and Design Methods , 1986 .

[9]  Antoine Isaac,et al.  SKOS Simple Knowledge Organization System Primer , 2009 .

[10]  Sheng-Chuan Wu The CRM of Tomorrow with Semantic Technology , 2011, KTW.

[11]  M. Lothaire Algebraic Combinatorics on Words , 2002 .

[12]  Jonathan Grudin,et al.  Enterprise Knowledge Management and Emerging Technologies , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[13]  M. White Enterprise Search , 2012 .

[14]  Tim Berners-Lee,et al.  Linked data on the web (LDOW2008) , 2008, WWW.

[15]  Susan T. Dumais,et al.  The vocabulary problem in human-system communication , 1987, CACM.

[16]  Corrado Böhm,et al.  Flow diagrams, turing machines and languages with only two formation rules , 1966, CACM.

[17]  Wil M. P. van der Aalst,et al.  Fundamentals of control flow in workflows , 2003, Acta Informatica.

[18]  M. Porter Competitive Advantage: Creating and Sustaining Superior Performance , 1985 .

[19]  Mansur H. Samadzadeh,et al.  A study of software metrics , 1991, J. Syst. Softw..

[20]  Tom Heath,et al.  Linked Data: Evolving the Web into a Global Data Space , 2011, Linked Data.

[21]  W. Beaver Financial Ratios As Predictors Of Failure , 1966 .

[22]  Daniel Oberle,et al.  Taking Enterprise Search to the Next Level , 2008, International Semantic Web Conference.

[23]  François-Paul Servant Linking Enterprise Data , 2008, LDOW.

[24]  M. Zmijewski METHODOLOGICAL ISSUES RELATED TO THE ESTIMATION OF FINANCIAL DISTRESS PREDICTION MODELS , 1984 .

[25]  Kumpati S. Narendra,et al.  Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.

[26]  Boris Sergeevich Nikiforov,et al.  Объект преступления по советскому уголовному праву , 1960 .

[27]  J. Ackermann,et al.  Analysis and Design , 1993 .

[28]  Sean Bechhofer,et al.  SKOS Simple Knowledge Organization System Reference , 2009 .

[29]  Barbara Kitchenham,et al.  What's up with software metrics? - A preliminary mapping study , 2010, J. Syst. Softw..