Information Technology: Faculty Publications

Automating the Extraction and Activation of Web Service Credibility Measures - A Framework Design

Document Type

Article

Publication Date

12-4-2022

Publication Title

Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022

DOI

10.1109/CICN56167.2022.10008369

ISBN

9781665487719

Abstract

Web service credibility measurement techniques provide a professional and experiential assessment of web services to the user community. Unfortunately, existing web service credibility measures are limited to implementation by only web service stakeholders. Thus, they are usually limited to registered users or customers and not open to public voting and acquaintance. Existing techniques only allow internal user evaluation at the web service levels by using pre-specified inputs limited to specialized questionnaires or checklists to evaluate their services. In this paper, we propose a design model for automating crowd input incorporation in credibility measures of web services regardless of whether these services allow feedback from the user or not. Our design facilitates web service evaluation to every internet user openly at the web browser level, not only at the web service level. This model also allows the dissemination of credibility measures to the public through available and easy-access channels. This work will enable web authors, stakeholders, and innovators to claim or vote on authorship or ownership of information and impact their claims on the digital world. It also allows encapsulating and exchanging user experience and claims into credibility measures of web objects and facilitates them to internet users.

Comments

Georgia Southern University faculty members, Christopher Kadlec and Atef Shalan co-authored "Automating the Extraction and Activation of Web Service Credibility Measures - A Framework Design".

Copyright

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