A Context-Based Approach to Reconciling Data Interpretation Conflicts in Web Services Composition

Abstract

Web services composition is often hampered by various types of data misinterpretation problems. In this paper, we present a comprehensive classification of the data misinterpretation problems. To address them, we develop an approach to automatic detection and reconciliation of data interpretation conflicts in Web services composition. The approach uses a lightweight ontology augmented with modifiers, contexts, and atomic conversions between the contexts, implemented using XPath functions and external services. The WSDL descriptions of Web services are annotated to establish correspondences to the ontology and contexts. Given the naive Business Process Execution Language (BPEL) specification of the desired Web services composition with possible data interpretation conflicts, the reconciliation approach can automatically detect the conflicts and produce the corresponding mediated BPEL by incorporating appropriate conversions into the composition. Finally, we develop a prototype to validate and evaluate the reconciliation approach.

Health Drive: Mobile Healthcare Onboard Vehicles to Promote Safe Driving

“…The unique feature of the lightweight ontology is the addition of modifiers. As introduced in our prior work [26], a modifier is used to capture additional information that affects the interpretations of generic concepts. A generic concept (e.g., driving speed) in the ontology can have multiple modifiers, each of which indicates an orthogonal dimension of the variations in the data interpretation.…”

Vita: A Crowdsensing-Oriented Mobile Cyber-Physical System

“…As shown in Figure 1, the ASCM mainly consists of three components: Task Client, Transformer, and social vector. The Transformer can transfer the diverse application requests and tasks (which are task instance data based on the specifications of WS-HumanTask [30]) from users to a standard data format as a web service [31], [32] during a mobile device's runtime; implementation details about it will be introduced in Section IV-B. The Task Client works as a bridge between the ASCM and the mobile SOA framework; it could receive the application requests of users and invoke the existing services in the mobile SOA framework to accomplish the tasks.…”

WS-Data Model: A Data Model for Web Services Composition and Optimization

“…There are two approaches: identifying predefined conversion rule according to semantic heterogeneity (X. Li et al, 2013;Mrissa et al, 2007;Nagarajan et al, 2007) and generating conversion script in XSL through measuring message similarity (Boukottaya and Vanoirbeek, 2005;Lecue et al, 2008). In the former approach, a message element is annotated with the corresponding concept of ontology while the conversion rules between different concepts are defined in advance.…”

“…They also propose a mediation process by which a BPEL process can be analyzed and additional mediator Web services can be automatically incorporated into the process to facilitate message transformation. A similar strategy is adopted by Li et al(X. Li et al, 2013), but they applied SAWSDL to annotate message elements. They improved the generation of conversion rules by considering composite conversion and providing additional implementation methods, such as XPath functions.…”