Using naming tendencies to syntactically link web service messages

  • Authors:
  • Michael F. Nowlan;Daniel R. Kahan;M. Brian Blake

  • Affiliations:
  • Department of Computer Science, Georgetown University, Washington DC;Department of Computer Science, Georgetown University, Washington DC;Department of Computer Science, Georgetown University, Washington DC

  • Venue:
  • DEECS'06 Proceedings of the Second international conference on Data Engineering Issues in E-Commerce and Services
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Service-oriented computing (SOC) enables organizations and individual users to discover openly-accessible capabilities realized as services over the Internet. An important issue is the management of the messages that flow into and out of these services to ultimately compose higher-level functions. A significant problem occurs when service providers loosely define these messages resulting into many services that in effect cannot be easily integrated. State of the art research explores semantic methods for dealing with this notion of data integration. The assumption is that service providers will define messages in an unpredictable manner. In our work, we investigate the nature of message definitions by analyzing real, fully-operational web services currently available on the Internet (i.e. from the wild). As a result, we have discovered insights into how real web services messages are defined as affected by the tendencies of the web services developers. Using these insights we propose an enhanced syntactical method that can facilitate semantic processing by classifying web services by their message names as a first step.