Open Information Extraction (OIE) is a recently-introduced type of information extraction that extracts small individual pieces of data from input text without any domainspecific...
Purpose – This paper aims to report on the results of an analysis of the computer security problem space, to suggest the areas with highest potential for making progress in the ...
Information extraction systems are increasingly being used to mine structured information from unstructured text documents. A commonly used unsupervised technique is to build iter...
We formulate and study search algorithms that consider a user’s prior interactions with a wide variety of content to personalize that user’s current Web search. Rather than re...
Current methods for selectivity estimation fall into two broad categories, synopsis-based and sampling-based. Synopsis-based methods, such as histograms, incur minimal overhead at ...