From End-User’s Requirements to Web Services Retrieval: A Semantic and Intention-Driven Approach

2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)

Pinheiro

Grand

et al. 2014

Abstract-Information Systems (IS) have massively adopted service orientation by exposing their functionalities as services. With the evolution of mobile technologies (smartphones, 3G/4G networks, etc.), such systems are now confronted with a new pervasive environment for which they were not originally designed. Indeed, pervasive environments are characterized by their heterogeneity and dynamicity due to their evolving context and their need for transparency. None of these features are particularly considered in traditional IS designed for stable and controlled office environments. In our new vision for serviceoriented Pervasive Information Systems (PIS), the user becomes the center of these systems. This paper presents a user-centric service-oriented vision for PIS based on a context-aware intentional approach, which considers the user intention and the context in which this intention arises as a guiding principle for service description, discovery, prediction and recommendation.

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A user-centric vision of service-oriented Pervasive Information Systems

2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)

Pinheiro

Grand

et al. 2014

“…The way context information is used depends on what it is observed and how it is represented. Besides, the contextadaptation capabilities depend on the context model (Najar et al, 2009). Different kinds of formalism for context representation have been proposed.…”

Section: Contextual Descriptionmentioning

confidence: 99%

“…Different kinds of formalism for context representation have been proposed. Nevertheless, an important tendency can be observedin most recent works: the use of ontologies for context modelling (Najar et al, 2009). According to Najar et al (2009), different reasons motivate the use of ontologies, such as their capability of enabling knowledge sharing in a non-ambiguous manner and their reasoning possibilities.…”

Section: Contextual Descriptionmentioning

confidence: 99%

Intention Prediction Mechanism in an Intentional Pervasive Information System

Intelligent Technologies and Techniques for Pervasive Computing

Pinheiro

Vanrompay

et al. 2013

Nowadays, the development of pervasive technologies has allowed the improvement of services availability. These services, offeredby information systems (IS), are becoming more pervasive, i.e., accessed anytime, anywhere. However, those pervasive information systems (PIS) remain too complex for the user, who just wants a service satisfying his needs. This complexity requires considerable efforts from the user in order to select the most appropriate service. Thus, an important challenge in PIS is to reduce user"s understanding effort. In this chapter, we propose to enhance PIS transparency and productivity through a user-centred vision based on an intentional approach. We propose an intention prediction approach. This approach allows anticipating user"s future requirements, offering the most suitable service in a transparent and discrete way. This intention prediction approach is guided by the user"s context.Itis based on the analysis of the user"s previous situations in order to learn user"s behaviour in a dynamic environment.

The Influence of Context on Intentional Service

2011 IEEE 35th Annual Computer Software and Applications Conference Workshops

Kirsch-Pinheiro²,

Souveyet³

2011

Abstract-Several service-oriented approaches promote the intention concept as a way to describe and document services based on user's requirements. However, these approaches have two main limitations: (1) they don't take into account the fact that a user evolves in a context that can influence his intentions, and (2) at the software service level, the corresponding intentional description of these software services is missing. Such a description should be a high level one, which is not directly connected to the software services. The objective of the paper is to propose a semantic service description that considers both intention corresponding to the service and context in which it is supposed to emerge. In addition, the variability embedded in the intentional description can be also affected by the user context. Such influence is also considered in our proposition.