This paper gives an overview of two middleware systems that have been developed over the last 6 years to address the challenges involved in developing parallel and distributed imp...
The overwhelming amount of information sources now available through the internet has increased the need to combine or integrate the data retrieved from these sources in an intell...
Schema matching has been historically difficult to automate. Most previous studies have tried to find matches by exploiting information on schema and data instances. However, sche...
Approximate data matching applications typically use similarity functions to quantify the degree of likeness between two data instances. There are several similarity functions ava...
Carlos A. Heuser, Francisco N. A. Krieser, Viviane...
Customer preferences for products are drifting over time. Product perception and popularity are constantly changing as new selection emerges. Similarly, customer inclinations are ...
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan ...
Integrating Deep Web sources requires highly accurate semantic matches between the attributes of the source query interfaces. These matches are usually established by comparing th...