A semantic web environment for context-aware m-commerce

Sadeh, Norman; Chan, Ting-Chak; Van, Linh; Kwon, Ohbyung; Takizawa, Kazuaki

doi:10.1145/779950.779992

Cited by 8 publications

(10 citation statements)

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“…MyCampus (Sadeh et al, 2003) is another agent-based environment for context-aware mobile services developed at Carnegie Mellon University. The system aims to aid the user with a PDA (normally a student on the university campus) in carrying out different tasks (planning events, sending messages, finding other users, and so on) by discovering and accessing Intranet and Internet services.…”

Section: Personalisationmentioning

confidence: 99%

Distributed network intelligence: A prerequisite for adaptive and personalised service delivery

et al. 2008

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Publication informationInformation System Frontiers, 11 (1) IrelandMobile computing is undoubtedly one of the predominant computer usage paradigms in operation today.The implications of what might be cautiously termed a usage paradigm shift have still not crystallised fully, either for society, or those envisaging a new raft of applications and services for mobile users. However, fundamental to the current and future success of mobile computing are mobile telecommunications networks. Such networks have been a success story in their own right in recent years, both as traditional voice carriers and, increasingly importantly, as a conduit of mobile data. The potential for new mobile data applications is immense, but, crucially, this potential is severely compromised by two factors inherent in mobile computing: limited bandwidth and computationally restricted devices. Hence, the academic and commercial interest in harnessing intelligent techniques as a means of mitigating these concerns, and ensuring the user experience is a satisfactory one. In this paper, the broad area of intelligence in telecommunications networks is examined, and issues relating to the deployment of intelligent technologies are explored. In particular, the potential of intelligent agents is identified as a viable mechanism for realising a full end-to-end deployment of intelligence throughout the network, including possibly the most crucial component: the end user's device. As an illustration of the viability of this approach, a brief description of a mobile blogging application is presented.

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Section: Personalisationmentioning

confidence: 99%

Distributed network intelligence: A prerequisite for adaptive and personalised service delivery

et al. 2008

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“…scheduling meetings with colleagues, reminding them of purchases they need to make, arranging trips or filtering incoming messages) [SCV+03,GS04a]. Some of the agents may be public or semi-public resources (e.g.…”

Section: Overall System Architecturementioning

confidence: 99%

Ambient Intelligence: The MyCampus Experience

Sadeh¹,

Gandon²,

Kwon

2005

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Abstract. Over the past five years, the MyCampus group at Carnegie Mellon University has been developing and experimenting with Ambient Intelligence technologies aimed at enhancing everyday life. The project has drawn on multiple areas of expertise, combining the development of an open Semantic Web infrastructure for context-aware service provisioning with an emphasis on issues of privacy and usability. In this paper, we review key motivations behind the project, discuss the MyCampus Semantic Web infrastructure and report on our experience tailoring the architecture for different environments (e.g. everyday campus life applications, office applications, museum tour guide). This includes a discussion of Semantic e-Wallets aimed at reconciling user demands for context awareness and privacy as well as a description of different context-aware applications developed and evaluated during the course of the project. We also discuss our experience using Case-Based Reasoning (CBR) functionality developed to overcome usability issues associated with capturing complex, context-sensitive user preferences. The paper concludes with a summary of lessons learned so far and of challenges still to be addressed. Over the past five years, the MyCampus group at Carnegie Mellon University has been developing and experimenting with Ambient Intelligence technologies aimed at enhancing everyday life. The project has drawn on multiple areas of expertise, combining the development of an open Semantic Web infrastructure for context-aware service provisioning with an emphasis on issues of privacy and usability. In this paper, we review key motivations behind the project, discuss the MyCampus Semantic Web infrastructure and report on our experience tailoring the architecture for different environments (e.g. everyday campus life applications, office applications, museum tour guide). This includes a discussion of Semantic e-Wallets aimed at reconciling user demands for context awareness and privacy as well as a description of different context-aware applications developed and evaluated during the course of the project. We also discuss our experience using Case-Based Reasoning (CBR) functionality developed to overcome usability issues associated with capturing complex, context-sensitive user preferences. The paper concludes with a summary of lessons learned so far and of challenges still to be addressed. Report Documentation Page

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“…MyCampus is an agent-based environment for context-aware mobile services developed at Carnegie Mellon University [1]. The system aims to aid a PDA equipped user in carrying out different tasks (planning events, send messages, find other users, etc) by accessing Intranet and Internet services.…”

Section: Related Workmentioning

confidence: 99%