Business Administration Faculty Presentations

Selection of Web Services Based on Opinion Mining of Free-Text User Reviews

Document Type

Conference Proceeding

Event Date

12-13-2010

Conference/Event

International Conference on Information Systems

Location

St. Louis, MO

Abstract

When multiple web services exist that perform identical tasks, non-functional attributes must be considered in order to choose the best service. Quality-of-service (QoS) attributes are often used to differentiate functionally redundant web services. However, ranking services according to QoS attributes is a complex problem. Additionally, the use of test data to establish those QoS ratings does not always yield accurate results. Therefore, this paper proposes a method that utilizes opinion mining techniques to extract information about the QoS attributes of a web service based on free-text user reviews. This method not only has the advantage of using real-world data rather than test data, but it also ensures that a variety of use cases are tested that would be common in the everyday usage of that service.

Disciplines

Business | E-Commerce

Keywords

Service-oriented architecture, web services, opinion mining, quality of service

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