Entity Extraction Using Statistical Methods Using Interactive Knowledge Mining Framework

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Provided by: Interscience Open Access Journals
Topic: Data Management
Format: PDF
There are various kinds of valuable semantic information about real-world entities embedded in web pages and databases. Extracting and integrating these entity information from the Web is of great significance. Comparing to traditional information extraction problems, web entity extraction needs to solve several new challenges to fully take advantage of the unique characteristic of the Web. In this paper, the authors introduce their recent work on statistical extraction of structured entities, named entities, entity facts and relations from Web. They also briefly introduce iKnoweb, an interactive knowledge mining framework for entity information integration.
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