A pervasive environment for location-aware and semantic matching based information gathering

Authors:
Riza Cenk Erdur;Oğuz Dikenelli;Ata Önal;Özgür Gümüs;Geylani Kardas;Özgün Bayrak;Yusuf Engin Tetik
Affiliations:
Department of Computer Engineering, Ege University, Bornova,Izmir, Turkey;Department of Computer Engineering, Ege University, Bornova,Izmir, Turkey;Department of Computer Engineering, Ege University, Bornova,Izmir, Turkey;Department of Computer Engineering, Ege University, Bornova,Izmir, Turkey;International Computer Institute, Ege University, Bornova,Izmir, Turkey;Department of Computer Engineering, Ege University, Bornova,Izmir, Turkey;Department of Computer Engineering, Ege University, Bornova,Izmir, Turkey
Venue:
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
Year:
2005

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Abstract

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.