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

Atef Shalan, Walaa Abo Elenin, Khaled Tarmissi, Alexander Boyett, Christopher Kadlec

Research output: Contribution to book or proceedingConference articlepeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781665487719
DOIs
StatePublished - 2022
EventIEEE International Conference on Computational Intelligence and Communication Networks - Al-Khobar, Saudi Arabia
Duration: Dec 4 2022Dec 6 2022
Conference number: 14
https://ieeexplore.ieee.org/servlet/opac?punumber=10008224

Publication series

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

Conference

ConferenceIEEE International Conference on Computational Intelligence and Communication Networks
Abbreviated titleIEEE CICN
Country/TerritorySaudi Arabia
CityAl-Khobar
Period12/4/2212/6/22
Internet address

Scopus Subject Areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Keywords

  • automation
  • browser plugin
  • measure
  • web service credibility

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