• Publications
  • Influence
Composing Web services on the Semantic Web
TLDR
This paper proposes an ontology-based framework for the automatic composition of Web services with formal safeguards for meaningful composition through the use of composability rules, and provides an implementation using an E-government application offering customized services to indigent citizens.
RATEWeb: Reputation Assessment for Trust Establishment among Web services
TLDR
This work proposes a set of decentralized techniques that aim at accurately aggregating the submitted ratings for reputation assessment and conducts experiments to assess the fairness and accuracy of the proposed techniques.
Business-to-business interactions: issues and enabling technologies
TLDR
A set of criteria for assessing the different B2B interaction techniques, standards, and products is proposed, and several issues related to scale, content exchange, autonomy, heterogeneity, and other issues still need to be addressed.
Deploying and managing Web services: issues, solutions, and directions
TLDR
This survey focuses on investigating the different research problems, solutions, and directions to deploying Web services that are managed by an integrated Web Service Management System and conducts a comparative study on how current research approaches and projects fit in.
A multilevel composability model for semantic Web services
TLDR
A composability model is proposed to ascertain that Web services can safely be combined, hence avoiding unexpected failures at runtime, and the concepts of composability degree and /spl tau/-composability to cater for partial and total composability are introduced.
Long-Term QoS-Aware Cloud Service Composition Using Multivariate Time Series Analysis
TLDR
A cloud service composition framework that selects the optimal composition based on an end user's long-term Quality of Service (QoS) requirements is proposed that uses QoS time series' inter correlations and performs a novel time series group similarity approach on the predicted QoS values.
Efficient Service Skyline Computation for Composite Service Selection
TLDR
A novel bottom-up computation framework is proposed that enables the skyline algorithm to scale well with the number of services in a composition, and a comprehensive analytical and experimental study is conducted to evaluate the effectiveness, efficiency, and scalability of the composite skyline computation approaches.
QoS Analysis for Web Service Compositions Based on Probabilistic QoS
TLDR
Experimental results show that the proposed QoS calculation approach significantly improves the efficiency in probabilistic QoS estimation.
Reputation Propagation in Composite Services
TLDR
The proposed method enables the composite service to provide a fair distribution of reputation values so that a component service is neither penalized nor awarded for the bad and good performances respectively, of other component services.
...
...