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Today, mobile phones due to the rapid growth of new technologies and the emergence of a new generation of smart phones have become more than a communication tool that not only resolves the user's communication needs, but also provide them, services for many applications. List of mobile phone subscribers include slow-level simple concepts such as time and place of calls, talk time, etc. The analysis...
The “Web of Things” vision promotes the integration of smart devices into web, using web technologies and protocols as underlying interaction mechanisms with smart devices. Technically many phones include various sensors and provide a large-scale sensing platform. To make this functionality available to a large number of (web) developers our research aims at easing the creation of applications that...
Web search providers have developed a highly successful business model, which has rendered them amongst some of the most profitable companies operating on the internet. Many observers regard mobile search as the next new big market. In contrast to search on PCs, however, the provision of search on mobiles is still in its infancy. In order to shed light on the real prospects of mobile search we performed...
In this paper, we target the problem of the situation-aware application (task) recommendation on mobile devices. To tackle this problem, we develop both supervised and unsupervised approaches. We use Naive Bayesian as a supervised approach, and co-clustering and vector quantization (VQ) as unsupervised approaches. We evaluate the performance of the proposed approaches with both synthetic and actual...
“SeMoDesk” is an approach to implement the Semantic Desktop on mobile devices. The idea is to allow users to manage their personal information space using personal ontologies. In this paper, we are presenting our solution to improve location-awareness in this scenario. We have designed a location and sensor ontology as an extension to the personal ontology. This ontology is then used to retrieve relevant...
Modern Smartphones are the fastest growing computing platforms capable of consuming Web services. However, due to their form factor these mobile computing devices face many challenges and constrains when engaging service providers. How to overcome these challenges and how to link smartphones to the service cloud is one of the key issues that will have a major impact on the further growth of the software-as-a-service...
The popularity of mobile devices and their increased computing power has given rise to surge in mobile computing technologies. Users are increasingly turning to mobile devices for information relating to their activities and location while on the move. Independent of this, the world has seen a huge uptake in the social web, which has fueled the production of applications where users are the sole providers...
Mobile devices are in a widespread use today. Restricted by the features of mobile devices, such as mobility, low communication bandwidth, small capacity of memory, limited power and inconvenient interaction, mobile services are required to recommend items adapting to the user need and location. Much existing research on recommendations ignores semantic information of user dynamic historical preferences...
On the Internet, all sorts of community applications, especially social community applications, gain more and more importance every day. People in every type of community are eager to communicate, collaborate and inform themselves and others about news and information. So far the user interfaces for community applications have been Internet connected computers or advanced smart phones running standard...
We present an approach for personal information management for mobile devices like PDAs based on the Semantic Desktop. The main objective is to design and realize a recommendation system to identify interesting items (e.g. messages or documents) based on the current context (time and location) and a user's personal ontology. To do so, our algorithm uses an evaluation function to traverse the graph...
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