Advanced Search, Visualization and Tagging of Sensor Metadata
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In this paper, we present a query-driven indexing/retrieval strategy for efficient full text retrieval from large document collections distributed within a structured P2P network. Our indexing strategy is based on two important properties: (1) the generate ...
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As the Sensor Internet starts to become reality, increasingly heterogeneous sensor networks are becoming interconnected into federated sensor networks and provide huge volumes of sensor data for a variety of applications to large user communities, such as ...
Efficient and effective search in large-scale data repositories requires complex indexing solutions deployed on a large number of servers. Web search engines such as Google and Yahoo! already rely upon complex systems to be able to return relevant query re ...
The trends in web development of educational applications and of Web 2.0 or social applications are converging. Platforms are designed to host a variety of software components (called widgets or plugins), which can be organised or combined (mashed-up) at u ...
The aim of this contribution is to review the application of thermodynamics to live cultures of microbial and other cells and to explore to what extent this may be put to practical use. A major focus is on energy dissipation effects in industrially relevan ...
We address the problem of registering and discovering sensors, sensor services and other related resources in the Semantic Sensor Web. We show how to develop a semantic registry for the storage and manipulation of metadata describing such resources using a ...
Web developers have started to integrate semantic information to their systems increasingly often. The semantic metadata embedded with the resources is typically linked to ontologies or taxonomies. Meta information can bring a number of advantages for user ...
This article presents P4Q, a fully decentralized gossip-based protocol to personalize query processing in social tagging systems. P4Q dynamically associates each user with social acquaintances sharing similar tagging behaviors. Queries are gossiped among s ...