Abstract. The World Wide Web is a vast resource for information. At the same time it is extremely distributed. A particular type of data such as restaurant lists may be scattered across thousands of independent information sources in many di erent formats. In this paper, we consider the problem of extracting a relation for such a data type from all of these sources automatically. W e present a technique which exploits the duality between sets of patterns and relations to grow the target relation starting from a small sample. To test our technique we use it to extract a relation of (author,title) pairs from the World Wide Web.
DIPRE (Dual Iterative Pattern Relation Expansion) REF ) is a system based on bootstrapping that exploits the duality between patterns and relations to augment the target relation starting from a small sample.
Extracting Patterns and Relations from the World Wide Web
ICPR
Computer Science