NDLI: Join Optimization of Information Extraction Output: Quality Matters!

Content Provider	IEEE Xplore Digital Library
Author	Jain, A. Ipeirotis, P.G. An-Hai Doan Gravano, L.
Copyright Year	2009
Abstract	Information extraction (IE) systems are trained to extract specific relations from text databases. Real-world applications often require that the output of multiple IE systems be joined to produce the data of interest. To optimize the execution of a join of multiple extracted relations, it is not sufficient to consider only execution time. In fact, the quality of the join output is of critical importance: unlike in the relational world, different join execution plans can produce join results of widely different quality whenever IE systems are involved. In this paper, we develop a principled approach to understand, estimate, and incorporate output quality into the join optimization process over extracted relations. We argue that the output quality is affected by (a) the configuration of the IE systems used to process documents, (b) the document retrieval strategies used to retrieve documents, and (c) the actual join algorithm used. Our analysis considers several alternatives for these factors, and predicts the output quality---and, of course, the execution time---of the alternate execution plans. We establish the accuracy of our analytical models, as well as study the effectiveness of a quality-aware join optimizer, with a large-scale experimental evaluation over real-world text collections and state-of-the-art IE systems.
Starting Page	186
Ending Page	197
File Size	592019
Page Count	12
File Format	PDF
ISBN	9781424434220
ISSN	10844627
DOI	10.1109/ICDE.2009.138
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Corporate acquisitions Information services Web sites Internet Information analysis Data engineering Relational databases Heart Text processing text databases Information extraction
Content Type	Text
Resource Type	Article
Subject	Signal Processing Information Systems Software

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