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NTT Network Innovation Laboratories

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Ubiquitous Service Systems Laboratory

The Ubiquitous Service Systems Laboratory is aiming to implement safe, secure and smart ICT services built on a core of technology that is able to understand and utilize the behavior and surroundings of individuals (the context). This is done using information from diversity of sensors and devices embedded in the real world and retrieved over the network of the future, as well as technology able to combine knowledge from the Web with real-world information.

Ubiquitous Service Systems Laboratory

To achieve this, we are advancing R&D on ubiquitous data storage, sharing, and processing technologies as service infrastructure technology. These will enable Internet and other cyber-space data, as well as the huge volumes of real-world data (ubiquitous data) obtained through a diversity of wired and wireless access network infrastructure (wide area ubiquitous networking), to be managed and used appropriately.

For ubiquitous data storage and sharing, we are working to establish a model that stores ubiquitous data in arbitrary key-value pairs and allows search using a variety of conditions (schemeless). Such a model will allow a large amount of diverse data to be stored efficiently, while enabling search with a variety of conditions. This will necessary for an infrastructure of sharing and utilizing ubiquitous data.

In ubiquitous data processing technology, we are working to implement services that not only increase convenience for users, but also bring about changes in awareness and behavior. This will be done by establishing service infrastructure that enables meaningful associations in everyday life to be identified and handled as context information for various services. To do this, we are working to establish information-mining technology able to grasp everyday life. It will use ubiquitous data as well as collected knowledge extracted from the cyber-world through media such as the Web, blogs, and Twitter, which mirror the real world.

Sensor Data Mining for Metadata Tagging

Extending Human Cognition in Ubiquitous Sensor Environments

Analyzing "Words" from a Network Science Perspective

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