Learning Unified Famous Objects (UFO) to bootstrap information integration

For at least a decade, WWW, large enterprises, and desktop users suffer from an inability to efficiently access and manage their data. To help automate different aspects of this challenging problem many solutions have been proposed in both academic and industrial research. One of them - UFO Repository, introduced in [5] is currently gaining momentum by advocating an object-oriented approach to help manage information overflow. An overview and evaluation of the UFO approach was published and reviewed in [5, 1]. This paper is more focused on the algorithms for UFO creation and knowledge accumulation. We describe, evaluate these algorithms, and demonstrate that UFO learning performance is surprisingly fast and accurate across several domains even for a small amount of initial training data.