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AutoDict: Automated Dictionary Discovery
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AutoDict: Automated Dictionary Discovery

Abstract

An attribute dictionary is a set of attributes together with a set of common values of each attribute. Such dictionaries are valuable in understanding unstructured or loosely structured textual descriptions of entity collections, such as product catalogs. Dictionaries provide the supervised data for learning product or entity descriptions. In this demonstration, we will present AutoDict, a system that analyzes input data records, and discovers high quality dictionaries using information theoretic techniques. To the best of our knowledge, AutoDict is the first end-to-end system for building attribute dictionaries. Our demonstration will showcase the different information analysis and extraction features within AutoDict, and highlight the process of generating high quality attribute dictionaries.

Authors

Chiang F; Andritsos P; Zhu E; Miller RJ

Volume

1

Pagination

pp. 1277-1280

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

April 1, 2012

DOI

10.1109/icde.2012.126

Name of conference

2012 IEEE 28th International Conference on Data Engineering
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