Optimised Semantic Reasoning for Pervasive Service Discovery

Abstract

A key challenge in delivering mobile services is to improve the relevance of discovered services, as mobile environments are very dynamic with rapid changes to user context. This paper presents m-Tableaux-an to optimised semantic reasoning approach to support pervasive service discovery which aims to efficiently leverage the computational resources available of mobile devices. We present performance evaluation of the m-Tableaux optimisation strategies which clearly demonstrate its operational feasibility on a mobile device.

Cost efficient, adaptive reasoning strategies for pervasive service discovery

“…Our results show that the selective consistency and skip disjunction strategies work best and drastically reduce processing time, with very little overhead. More detailed results can be found in [22] and [20].…”

Efficient mobile reasoning for pervasive discovery

“…A more detailed description of this evaluation can be found in [16]. Table 1 presents four type checks, comprising a matching and non-matching individual compared with the request of each case study.…”

Intelligent mobile messaging

“…Developing service discovery, task-to services, and information retrieval to adapt to user reactions precisely are quite demanded in recent research [2,9]. Context aware computing as a core part in service/information managing, it has investigated intensely during the last decades as it endeavors to obtain, utilize, and adapt contextual information to provide users efficient services seamlessly [10,11].…”