NDLI: Generating Concise Entity Matching Rules

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Generating Concise Entity Matching Rules

Content Provider	ACM Digital Library
Author	Elmagarmid, Ahmed Meduri, Vamsi Singh, Rohit Quiané-Ruiz, Jorge-Arnulfo Papotti, Paolo Madden, Samuel Solar-Lezama, Armando Tang, Nan
Abstract	Entity matching (EM) is a critical part of data integration and cleaning. In many applications, the users need to understand why two entities are considered a match, which reveals the need for interpretable and concise EM rules. We model EM rules in the form of General Boolean Formulas (GBFs) that allows arbitrary attribute matching combined by conjunctions (∨), disjunctions (∧), and negations. (¬) GBFs can generate more concise rules than traditional EM rules represented in disjunctive normal forms (DNFs). We use program synthesis, a powerful tool to automatically generate rules (or programs) that provably satisfy a high-level specification, to automatically synthesize EM rules in GBF format, given only positive and negative matching examples. In this demo, attendees will experience the following features: (1) Interpretability -- they can see and measure the conciseness of EM rules defined using GBFs; (2) Easy customization -- they can provide custom experiment parameters for various datasets, and, easily modify a rich predefined (default) synthesis grammar, using a Web interface; and (3) High performance -- they will be able to compare the generated concise rules, in terms of accuracy, with probabilistic models (e.g., machine learning methods), and hand-written EM rules provided by experts. Moreover, this system will serve as a general platform for evaluating different methods that discover EM rules, which will be released as an open-source tool on GitHub.
Starting Page	1635
Ending Page	1638
Page Count	4
File Format	PDF
ISBN	9781450341974
DOI	10.1145/3035918.3058739
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-05-09
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	General boolean formulas Disjunctive normal forms Program synthesis Entity matching
Content Type	Text
Resource Type	Article

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