Integrating data sources is a general problem in many scenarios. The main problem is the heterogeneity between data sources which were created and developed separately. In the lit...
Originally developed for file sharing, P2P concepts are predestinated to realize information sharing in a more general way. Combined with the well known concept of loosely coupled...
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
A personal lifelog of visual and audio information can be very helpful as a human memory augmentation tool. The SenseCam, a passive wearable camera, used in conjunction with an iR...
Aiden R. Doherty, Alan F. Smeaton, Keansub Lee, Da...
The research community has noted the need to retrieve the instance level of an ontology from bulk data stored in external data sources (e.g., a relational database), in order to de...
: Integrated access to distributed data is an important problem faced in many scientific and commercial applications. A data integration system provides a unified view for users to...
Ambient intelligence involves synthesising data from a range of sources in order to exhibit meaningful adaptive behaviour without explicit user direction, driven by inputs from lar...
In this paper, we address a unique problem in Chinese language processing and report on our study on extending a Chinese thesaurus with region-specific words, mostly from the fina...
Query personalization was introduced as an advanced mechanism to allow the reformulation of database queries and adapt them to the user's domain of interest and preferences. ...
In this contribution a system is presented, which provides access to distributed data sources using Semantic Web technology. While it was primarily designed for data sharing and sc...