Semantic Web Services Delivery: Lessons From the Information Systems World

The ‘Semantic Web’ promises a new generation of web services delivery applications enabled by semantic markup of web resources, shared ontologies and highly-intelligent agents. The vision is astounding and the potential benefits enormous. However, previous experience with information systems and database integration initiatives would suggest that a degree of caution is warranted. It is also argued that lessons might be gleaned from these intraorganizational integration projects that might be of considerable value in developing and implementing Semantic Web applications.

[1]  G. McGrath,et al.  An Implementation of a Data-Centered Information Systems Strategy: A Power/Political Perspective , 1997 .

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

[3]  Ian G. MacDonald,et al.  Information Engineering , 2019, Information Systems Design Methodologies: Improving the Practice.

[4]  Dieter Fensel,et al.  The Semantic Web And Its Languages , 2000, IEEE Intell. Syst..

[5]  Michael Stal,et al.  Web services: beyond component-based computing , 2002, CACM.

[6]  Huan Liu,et al.  Resource description framework: metadata and its applications , 2001, SKDD.

[7]  James Martin,et al.  Strategic data-planning methodologies , 1982 .

[8]  James Martin,et al.  Information engineering , 1981 .

[9]  A. Lederer,et al.  Meeting the challenges of information systems planning. , 1992, Long range planning.

[10]  Gabriele Piccoli,et al.  Customer Service and Network Completeness , 2002, Bled eConference.

[11]  Peter P. Chen The Entity-Relationship Model: Towards a unified view of Data , 1976 .

[12]  Peter P. Chen The entity-relationship model: toward a unified view of data , 1975, VLDB '75.

[13]  James A. Hendler,et al.  The semantic Web and its languages , 2000 .

[14]  James Martin,et al.  Computer Data-Base Organization , 1975 .

[15]  Robert A. Kowalski,et al.  Logic for problem solving , 1982, The computer science library : Artificial intelligence series.

[16]  M. Markus,et al.  The Enterprise System Experience— From Adoption to Success , 2000 .

[17]  Ian Horrocks,et al.  OIL: An Ontology Infrastructure for the Semantic Web , 2001, IEEE Intell. Syst..

[18]  Omar A. El Sawy,et al.  Redesigning Enterprise Processes for E-Business , 2001 .

[19]  Andrea D. Ellinger,et al.  Understanding support for innovation in a large‐scale change effort: The manager‐as‐instructor approach , 1999 .

[20]  Dorothy Leon Ard-Barton Implementation Characteristics of Organizational Innovations , 1988 .

[21]  Cheng Hsu Enterprise integration and modeling - the metadatabase approach , 1995 .

[22]  G. M. McGrath,et al.  MP/L1: towards an automated model of organisational power , 1994, Proceedings of ANZIIS '94 - Australian New Zealnd Intelligent Information Systems Conference.

[23]  D. Miller,et al.  Entity Model Clustering: Structuring A Data Model By Abstraction , 1986, Comput. J..

[24]  G. Michael McGrath,et al.  A structured approach to conflict prediction in information systems strategy implementation , 1998, Intell. Syst. Account. Finance Manag..

[25]  Tran Cao Son,et al.  Mobilizing the Semantic Web with DAML-enabled Web Services , 2001, SemWeb.