A pervasive environment for location-aware and semantic matching based information gathering
Makaleler > Tam Makale · 2005
Yazarlar: Rıza Cenk ERDUR, Oğuz DİKENELLİ, Aytül ÖNAL, Özgür GÜMÜŞ, Geylani KARDAŞ, O BAYRAK, YILMAZ ÖĞÜNÇ TETIK
COMPUTER AND INFORMATION SCIENCES - ISCIS 2005, PROCEEDINGS, SCI İndekslerine Giren Dergi, Uluslararası, 2005, cilt 3733, ss 352-361
DOI: 10.1007/11569596_38
Özet
The main motivation of this paper is to integrate the semantic matching capability into the pervasive computing environments. In this context, we have developed an environment that provides a semantic matching based information gathering capability for mobile users. An important feature of the developed environment is its domain independence. Domain independence is realized by first transferring the concepts of a specific domain's ontology in XML format from the server to the mobile device, and then parsing that XML file for dynamically creating a visual interface, using which users can enter requests. The generic design of the semantic matching engine also contributes to domain independence, since a generic matching engine can accept inputs and return outputs using concepts from any ontology. To show the effectiveness of the architecture, a case study was implemented in a campus area. In this case study, mobile users can find closest places to reside or eat something.