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Modern search engines provide users with suggested query completions. These search suggestions are often ambiguous in nature and could refer to any number of homonyms. Previously we used a static ontology built from data in Wikipedia to address this issue. Here, we present a method for dynamically building an ontology of "famous people" based on mining the suggested completions of a search...
As one of the components in iVCE software platform, iVCE/M devotes to the performance improvement of the I/O-intensive and memory-intensive applications with efficient aggregation of distributed memory resources. To facilitate the deployment of iVCE/M, the data locating algorithm with balanced time and space cost, as well as the transparent interface for the legacy applications without code modification,...
Keyword-based search engines often return an unexpected number of results. Zero hits are naturally undesirable, while too many hits are likely to be overwhelming and of low precision. We present an approach for predicting the number of hits for a given set of query terms. Using word frequencies derived from a large corpus, we construct random samples of combinations of these words as search terms...
To access large and widely distributed data on data grid quickly and efficiently is an important goal of the implementation of data grid. Due to high latency of the Internet, large amounts of data need to be replicated in multiple copies at several distributed sites. However, the storage capacity is limited. So a good replacement algorithm is important to the efficiency of the access to the replicas...
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