Analyzing Web Services Networks: Theory and Practice

This paper addresses the problem of applying the general network theory for analyzing qualitatively Web services networks. The paper reviews current approaches to analyzing Web services networks, generalizes the published approaches into a formal framework for analyzing Web services networks and demonstrates its applicability in practice. More specifically, two case studies are described where the presented framework has been applied. The first one considers identification of redundant data in large-scale service-oriented information systems, while the second one measures information diffusion between individual information systems.

[1]  Lada A. Adamic,et al.  Information Diffusion in Computer Science Citation Networks , 2009, ICWSM.

[2]  Elisa Bertino,et al.  Policy-Driven Service Composition with Information Flow Control , 2010, 2010 IEEE International Conference on Web Services.

[3]  Maria Fasli,et al.  Employing Graph Network Analysis for Web Service Composition , 2007, Int. J. Inf. Technol. Web Eng..

[4]  Scott Counts,et al.  Comparing Information Diffusion Structure in Weblogs and Microblogs , 2010, ICWSM.

[5]  Nicholas Kushmerick,et al.  Learning to Attach Semantic Metadata to Web Services , 2003, International Semantic Web Conference.

[6]  Mihhail Matskin,et al.  Interaction and Potential Synergy between Commercial and Governmental Web Services - a Case Study , 2007, 2007 IEEE Congress on Services (Services 2007).

[7]  Graeme Simsion,et al.  Data Modeling Essentials 2nd Edition: A Comprehensive Guide to Data Analysis, Design, and Innovation , 2000 .

[8]  Fangfang Liu,et al.  Discovery of Semantic Web Service Flow Based on Computation , 2009, 2009 IEEE International Conference on Web Services.

[9]  James A. Hendler,et al.  Semantic Interoperability and Information Fluidity , 2006, Int. J. Cooperative Inf. Syst..

[10]  Dongwon Lee,et al.  Graph Theoretic Topological Analysis of Web Service Networks , 2009, World Wide Web.

[11]  Graeme C. Simsion.  Data modeling essentials - analysis, design, and innovation , 1993, VNR computer library.

[12]  Sanjay Goel,et al.  Resilience Metrics for Service-Oriented Networks: A Service Allocation Approach , 2009, IEEE Transactions on Services Computing.

[13]  Panagiotis G. Ipeirotis,et al.  Duplicate Record Detection: A Survey , 2007 .

[14]  Marlon Dumas,et al.  Cost-Effective Semantic Annotation of XML Schemas and Web Service Interfaces , 2009, 2009 IEEE International Conference on Services Computing.

[15]  Mihhail Matskin,et al.  Evaluation of a Semi-automated Semantic Annotation Approach for Bootstrapping the Analysis of Large-Scale Web Service Networks , 2011, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.

[16]  A. Kalja,et al.  eGovernment in Estonia: best practices , 2005, A Unifying Discipline for Melting the Boundaries Technology Management:.

[17]  Soundar R. T. Kumara,et al.  Effective Web Service Composition in Diverse and Large-Scale Service Networks , 2008, IEEE Transactions on Services Computing.

[18]  Krishna P. Gummadi,et al.  A measurement-driven analysis of information propagation in the flickr social network , 2009, WWW '09.

[19]  Mihhail Matskin,et al.  Ontology Learning for Cost-Effective Large-Scale Semantic Annotation of Web Service Interfaces , 2010, EKAW.

[20]  Graeme G. Shanks,et al.  Improving the quality of data models: empirical validation of a quality management framework , 2003, Inf. Syst..