The aim of the Site Outlining project is to
research and develop new systems and technologies which allow users
to analyze, retrieve, and visualize information from enormous collections of
heterogeneous and time-varying data from multi-dimensional aspects.
We can significantly enhance the usability of data on the internet by means of
- Metadata extraction ...
study of extraction of various types of metadata to help users understand
the characteristics of and singularities in a collection of data.
- Dynamic information ...
study of time-varying information sources and their metadata.
- Knowledge Visualization ...
study of metadata visualization and metadata-dependent searching and navigation
- Mathematical models and algorithms ...
development and implementation of new and efficient algorithms for
ranking and retrieval of documents in very large, dynamic databases.
- Business Model Construction (BMC)
BMC system collects various information from the internet, and supports
construction of business models.
- Digital News Library (DNL)
DNL is a system for retrieving/managing an enormous collection of
newspaper articles, which is updated on a daily basis. The collection grows
by at least several hundreds of gigabytes annually. DNL is being used as a
core technology in
one of the biggest solutions in the Japanese newspaper industry.
- Information Navigation System (INS)
INS is a system for retrieving digital video contents through the use of
information outlining technology developed by our group. We believe it will
be adopted as one of the key technologies for digital broadcasting in
the twenty-first century. A wide range of users can benefit from the versatile
set of views which INS can provide for outlining video data.
Let'sSVD is a program to compute the singular value decomposition (SVD) of very large, sparse matrices. The program uses dynamic data structures to minimize use of memory space.