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In order to extract traffic state information and provide decision support for traffic management, granular computing theory was applied in traffic information processing. Traffic information granule and its granularity were defined, and then a methodology that provides a framework of traffic management and decision-making was presented based on GrC. A method was proposed for traffic state information...
We consider the problem of efficiently computing weighted proximity best-joins over multiple lists, with applications in information retrieval and extraction. We are given a multi-term query, and for each query term, a list of all its matches with scores, sorted by locations. The problem is to find the overall best matchset, consisting of one match from each list, such that the combined score according...
Most current information extraction (IE) approaches have considered only static text corpora, over which we typically have to apply IE only once. Many real-world text corpora however are dynamic. They evolve over time, and to keep extracted information up to date, we often must apply IE repeatedly, to consecutive corpus snapshots. We describe Cyclex, an approach that efficiently executes such repeated...
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