cis6930fa11_BayesStore-IE

cis6930fa11_BayesStore-IE - Extracting and Querying...

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Daisy Zhe Wang, Michael J. Franklin, Minos Garofalakis 2 , Joseph M. Hellerstein University of California, Berkeley Technical University of Crete 2 Extracting and Querying Probabilistic Information From Text in BayesStore-IE
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Information Extraction (IE) 1 “We are pleased that today's agreement guarantees our corporation will maintain a significant and long term presence in the Big Apple,'' McGraw-Hill president Harold McGraw III said in a statement. --- From New York Times April 24, 1997
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Information Extraction (IE) 2 “We are pleased that today's agreement guarantees our corporation will maintain a significant and long term presence in the Big Apple ,'' McGraw-Hill president Harold McGraw III said in a statement. --- From New York Times April 24, 1997 Labels: Person Company Location Other (prob=0.41)
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Information Extraction (IE) 3 “We are pleased that today's agreement guarantees our corporation will maintain a significant and long term presence in the Big Apple ,'' McGraw-Hill president Harold McGraw III said in a statement. --- From New York Times April 24, 1997 Labels: Person Company Location Other (prob=0.26)
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Standard IE Systems 4 Tokenization, Feature Extraction, Inference … Statistical ML Packages time id temp 10am 1 20 10am 2 21 .. .. 10am 7 29 Relational DBMS Extracted Entities SELECT * FROM Entities time id temp 10am 1 20 10am 2 21 .. .. 10am 7 29
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Problems 5 Poor Performance Exhaustive Batch Analysis No Indexing, Parallelization, Caching, Optimization in Data Analysis in SML Information Loss DB only store Top-1 Highest Probability Results Prematurely discard Uncertainties and Probabilities
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Probabilistic Database & Declarative IE 6 Probabilistic Database Declarative IE
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Probabilistic Database & Declarative IE 7 Probabilistic Database Declarative IE BayesStore-IE BayesStore-IE is a subsystem of BayesStore [VLDB08] for Probabilistic and Declarative IE.
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IE System with BayesStore-IE 8 Graphical Model+ Inf. Engine Query Pr[Answer] BayesStore-IE Relational Query Engine Pr[Entities] Constraints Y 0 Y 3 X 0 X 3 BayesStore-IE is built on top of Postgres 8.4.
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Main Contributions 9 Efficient In-Database Graphical Models Represent Models as First-class Objects Implement Inference in Database Scale-up IE Queries Query-Driven Extraction Co-optimization Algorithms for Probabilistic IE Queries Compute Top-k Results Compute Result Distribution Reduce False Negatives by 80%! Orders-of-Magnitude Speedup!
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Outline 10 Introduction In-database Inference Algorithms [ICDE10,SIGMOD11] Scale-up declarative IE Queries [VLDB10] Hybrid Inference [SIGMOD11] Conclusion and Future Work: MADLib
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A Graphical Model – Conditional Random Fields (CRF) 11 y 0 y 1 y 2 y 3 y 4 y 5 x 0 x 1 x 2 x 3 x 4 x 5 2181 Shattuck North Berkeley CA USA
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cis6930fa11_BayesStore-IE - Extracting and Querying...

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