TY - JOUR
T1 - Web Service Credibility Evaluation Methods in Different Application Domains
AU - Shalan, Atef
AU - Reyes, Jaciel E.
AU - Wimmer, Hayden
AU - Jain, Sarika
AU - Hefny, Mohamed
PY - 2023/4/1
Y1 - 2023/4/1
N2 - Websites are growing in number and size at an explosive rate. This has created an enormous field of service competitors, which can cause a real challenge for information seekers and inexperienced users. As a result, these users require public information to help their decision about service selection. This aid comes in the form of clear and accessible credibility measures. Numerous research articles have studied the concept of Web service credibility evaluation to support user choices. This paper studies the existing methods and frameworks for evaluating web service credibility. We contrast these methods concerning their applications, underlying approach, evaluation factors, and primary research outcomes. Our study also provides a classification of these methods based on the underlying approach, application domain, purpose of the measure, and measurement automation. This study will set the stage for future research on automating web credibility measurements and dissemination methodology.
AB - Websites are growing in number and size at an explosive rate. This has created an enormous field of service competitors, which can cause a real challenge for information seekers and inexperienced users. As a result, these users require public information to help their decision about service selection. This aid comes in the form of clear and accessible credibility measures. Numerous research articles have studied the concept of Web service credibility evaluation to support user choices. This paper studies the existing methods and frameworks for evaluating web service credibility. We contrast these methods concerning their applications, underlying approach, evaluation factors, and primary research outcomes. Our study also provides a classification of these methods based on the underlying approach, application domain, purpose of the measure, and measurement automation. This study will set the stage for future research on automating web credibility measurements and dissemination methodology.
KW - Automation
KW - Credibility measurement
KW - Service dissemination
KW - Webservice credibility
UR - https://digitalcommons.georgiasouthern.edu/information-tech-facpubs/171
UR - https://doi.org/10.1007/978-981-19-7126-6_3
U2 - 10.1007/978-981-19-7126-6_3
DO - 10.1007/978-981-19-7126-6_3
M3 - Article
JO - Semantic Intelligence
JF - Semantic Intelligence
ER -