The paper presents the design of a software infrastructure that can support negotiation and competition among buyers and sellers of goods (auctioning) over the Internet. The goals...
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Integration—supporting multiple application classes with heterogeneous requirements—is an emerging trend in networks, file systems, and operating systems. In this paper, we e...
Scientific data offers some of the most interesting challenges in data integration today. Scientific fields evolve rapidly and accumulate masses of observational and experiment...
Partha Pratim Talukdar, Zachary G. Ives, Fernando ...
A main problem of data integration is the treatment of conflicts caused by different modeling of real-world entities, different data models or simply by different representations ...