The exponential data growth rate of the Internet makes it increasingly difficult for people to find desired information in a timely fashion. Information filtering and dissemina...
We propose a new methodology for fusing temporally changing multisensor raster and vector data by developing a spatially and temporally varying uncertainty model of acquired and t...
—Data Fusion (DF) process is in the interest of the military community since it provides the opportunity to achieve information superiority. The System Entity Structure (SES) is ...
Entity Recognition (ER) is a key component of relation extraction systems and many other natural-language processing applications. Unfortunately, most ER systems are restricted to...
Data fusion is the final step of a typical data integration process, after schematic conflicts have been overcome and after duplicates have been correctly identified. We present t...