A JESS-enabled context elicitation system for providing context-aware Web services

Abstract

Providing context-aware Web services is an adaptive process of delivering contextually matched Web services to meet service requesters' needs. We define the term ''context'' from two perspectives: one from service requesters; and the other from Web services. From the former perspective, context is defined as the surrounding environment affecting requesters' services discovery and access, such as requesters' preferences, locations, activities, and accessible network and devices. From the latter perspective, context is defined as the surrounding environment affecting Web services delivery and execution, such as networks and protocols for service binding, devices and platforms for service execution, and so on. This paper presents a Java Expert System Shell (JESS)-enabled context elicitation system featuring an ontology-based context model that formally describes and acquires contextual information pertaining to service requesters and Web services. Based on the context elicitation system, we present a context-aware services-oriented architecture for providing context-aware Web service request, publication, and discovery. Implementation details of the context elicitation system and the evaluation results of contextaware service provision are also reported.

Enhancing the precision of content analysis in content adaptation using entropy-based fuzzy reasoning

“…Our service detects the receiving context using the techniques we present in Yang and Shao (2006), Yang et al (2008). The extracted data guides the FSCA service to adapt the content accordingly.…”

“…In our previous research (Yang & Shao, 2006;Yang, Zhang, & Chen, 2008), we present a JESS-enabled context elicitation system featuring an ontology-based context model to formally describe and acquire contextual information of receiving environments. In , we present a UOI-based content adaptation method, which automatically detects semantic relationships among comprising components in Web contents, and then reorganizes page layout to fit handheld devices based on identified UOIs.…”

Using Description Logics for the Provision of Context-Driven Content Adaptation Services

“…Mostefaoui and Hirsbrunner propose a formal definition of context to model content's contextual information (Mostefaoui & Hirsbrunner 2004) Lemlouma and Layaida propose a framework to assert metadata information of Web content (Lemlouma & Layaida 2001 (Zhang, Zhang et al 2005). Besides, several Web Ontology Language (OWL)-based context models are presented (Khedr & Karmouch 2004;Yang, Zhang, Chen 2008;Yang, Zhang et al 2009) to provide high-quality results of Web content presentation beyond the expressive limitations of CC/PP. These researchers all utilize ontology to describe contextual information including location, time, device, preference, and network.…”

Applying Web Page Adaptation Technique to the Augmentation of Mobile Learning

“…Some of our previous work is closely related to this paper. In (Yang, Zhang et al 2007a), we present a JESS-enabled context elicitation system featuring an ontologybased context model to formally describe and acquire contextual information pertaining to service requesters and Web services. In (Yang, Zhang et al 2007c), we present a Unit Of Information (UOI)-based content adaptation method, which automatically detects semantic relationships among comprising components in Web content, and then reorganizes page layout to fit handheld devices based on identified UOIs.…”