This paper presents a mobile visual application aimed at fully exploiting semantics of request descriptions to enable advanced services. Distinguishing aspects of its underlying framework include semantic ranking of request results and logic-based explanation of matchmaking outcomes as well as the context identification and exploitation to select suitable resources. The GUI has been designed and implemented to be effective for handheld devices with reduced screen capabilities. It requires no knowledge of any logic principle to be fully used. The framework is general-purpose and could be easily adapted to different mobile scenarios. Here it is motivated and presented in a tourism case study
A Semantic-Based Fully Visual Application for Context-Aware Matchmaking and Request Refinement in Ubiquitous Computing / Ruta, Michele; DI NOIA, Tommaso; DI SCIASCIO, Eugenio; Scioscia, Floriano. - 5073 LNCS, Issue Part 2:(2008), pp. 259-274. (Intervento presentato al convegno International Conference on Computational Science and Its Applications tenutosi a Perugia, Italy nel June 30 - July 3, 2008) [10.1007/978-3-540-69848-7_22].
A Semantic-Based Fully Visual Application for Context-Aware Matchmaking and Request Refinement in Ubiquitous Computing
RUTA, Michele;DI NOIA, Tommaso;DI SCIASCIO, Eugenio;SCIOSCIA, Floriano
2008-01-01
Abstract
This paper presents a mobile visual application aimed at fully exploiting semantics of request descriptions to enable advanced services. Distinguishing aspects of its underlying framework include semantic ranking of request results and logic-based explanation of matchmaking outcomes as well as the context identification and exploitation to select suitable resources. The GUI has been designed and implemented to be effective for handheld devices with reduced screen capabilities. It requires no knowledge of any logic principle to be fully used. The framework is general-purpose and could be easily adapted to different mobile scenarios. Here it is motivated and presented in a tourism case studyI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
