期刊
COMMUNICATIONS OF THE ACM
卷 60, 期 5, 页码 93-102出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3060586
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资金
- Defense Advanced Research Projects Agency (DARPA) XDATA program [FA8750-12-2-0335]
- Defense Advanced Research Projects Agency (DARPA) DEFT program [FA8750-13-2-0039]
- Defense Advanced Research Projects Agency (DARPA) DARPA's MEMEX program
- Defense Advanced Research Projects Agency (DARPA) SIMPLEX program
- National Science Foundation (NSF) CAREER Award [IIS-1353606]
- Office of Naval Research (ONR) [N000141210041, N000141310129]
- National Institutes of Health Grant - National Institute of Biomedical Imaging and Bioengineering (NIBIB) through trans-NIH Big Data to Knowledge (BD2K) initiative [U54EB020405]
- Sloan Research Fellowship
- Moore Foundation
- American Family Insurance
- Toshiba
The dark data extraction or knowledge base construction (KBC) problem is to populate a relational database with information from unstructured data sources, such as emails, webpages, and PDFs. KBC is a long-standing problem in industry and research that encompasses problems of data extraction, cleaning, and integration. We describe DeepDive, a system that combines database and machine learning ideas to help to develop KBC systems. The key idea in DeepDive is to frame traditional extract-transform-load (ETL) style data management problems as a single large statistical inference task that is declaratively defined by the user. DeepDive leverages the effectiveness and efficiency of statistical inference and machine learning for difficult extraction tasks, whereas not requiring users to directly write any probabilistic inference algorithms. Instead, domain experts interact with DeepDive by defining features or rules about the domain. DeepDive has been successfully applied to domains such as pharmacogenomics, paleobiology, and antihuman trafficking enforcement, achieving human-caliber quality at machine-caliber scale. We present the applications, abstractions, and techniques used in DeepDive to accelerate the construction of such dark data extraction systems.
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