In recent years, discovering appropriate web services has become increasingly difficult as
the number of services has grown rapidly. With the goal of improving discovery performance …

Development in the field of opinion mining and sentiment analysis has been rapid and aims
to explore views or texts on various social media sites through machine-learning techniques …

Clustering web services is an effective method to solving service computing problems. The
key insight behind it is to extract the vectors based on the service description documents …

In recent years, due to the growth of information on the internet, the number of available Web
services has increased. Clustering Web services based on their functional features to …

With the expansion of the Internet, the number of available Web services has increased.
Web service clustering to identify functionally similar clusters has become a major approach …

In Web service clustering, the service function vector (SFV) directly determines the quality of
service (QoS) clustering. To improve service clustering performance, a method is proposed …

According to the growth of the Web, the number of Web services is increased rapidly and
efficient Web service discovery has become an important and challenging task. To …

With the rapid growth of service resources, how to quickly and accurately find the
replaceable service is a key problem when the service fails. To solve this problem, this …

Service discovery is important issue when providing value-added services by composition.
Existing approaches such as keyword or ontology matching have limitations within current …

This thesis presents my work for the fulfillment of the requirement for the Doctor of
Philosophy in Computer Science and Engineering, Graduate School of Computer Science …