What type of a matcher are you: Coordination of human and algorithmic matchers

Roee Shraga; Avigdor Gal; Haggai Roitman

doi:https://doi.org/10.1145/3209900.3209905

What type of a matcher are you: Coordination of human and algorithmic matchers

Roee Shraga, Avigdor Gal, Haggai Roitman

Data and Decision Sciences

Technion - Israel Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this work we explore relationships between human and algorithmic schema matchers. We provide a novel approach to similar schema matchers termed coordinated matchers and use it to predict future human matching choices. We show throughout a comprehensive analysis that human matchers are usually coordinated with intuitive algorithms, e.g., based on attribute name similarity, and frequently do not assign lower confidence levels, which indicates over confidence in their choices. Finally, we show that human choices can be reasonably predicted using collaborative algorithmic opinions based on matchers coordination.

Original language	English
Title of host publication	Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA 2018
ISBN (Electronic)	9781450358279
DOIs	https://doi.org/10.1145/3209900.3209905
State	Published - 10 Jun 2018
Event	2018 Workshop on Human-In-the-Loop Data Analytics, HILDA 2018 - Houston, United States Duration: 10 Jun 2018 → …

Publication series

Name	Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA 2018

Conference

Conference	2018 Workshop on Human-In-the-Loop Data Analytics, HILDA 2018
Country/Territory	United States
City	Houston
Period	10/06/18 → …

All Science Journal Classification (ASJC) codes

Computational Theory and Mathematics
Information Systems
Computer Science Applications

Access to Document

https://doi.org/10.1145/3209900.3209905

Cite this

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title = "What type of a matcher are you: Coordination of human and algorithmic matchers",

abstract = "In this work we explore relationships between human and algorithmic schema matchers. We provide a novel approach to similar schema matchers termed coordinated matchers and use it to predict future human matching choices. We show throughout a comprehensive analysis that human matchers are usually coordinated with intuitive algorithms, e.g., based on attribute name similarity, and frequently do not assign lower confidence levels, which indicates over confidence in their choices. Finally, we show that human choices can be reasonably predicted using collaborative algorithmic opinions based on matchers coordination.",

author = "Roee Shraga and Avigdor Gal and Haggai Roitman",

note = "Publisher Copyright: {\textcopyright} 2018 Association for Computing Machinery.; 2018 Workshop on Human-In-the-Loop Data Analytics, HILDA 2018 ; Conference date: 10-06-2018",

year = "2018",

month = jun,

day = "10",

doi = "https://doi.org/10.1145/3209900.3209905",

language = "الإنجليزيّة",

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booktitle = "Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA 2018",

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Shraga, R, Gal, A & Roitman, H 2018, What type of a matcher are you: Coordination of human and algorithmic matchers. in Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA 2018., 12, Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA 2018, 2018 Workshop on Human-In-the-Loop Data Analytics, HILDA 2018, Houston, United States, 10/06/18. https://doi.org/10.1145/3209900.3209905

What type of a matcher are you: Coordination of human and algorithmic matchers. / Shraga, Roee; Gal, Avigdor; Roitman, Haggai.
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA 2018. 2018. 12 (Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this work we explore relationships between human and algorithmic schema matchers. We provide a novel approach to similar schema matchers termed coordinated matchers and use it to predict future human matching choices. We show throughout a comprehensive analysis that human matchers are usually coordinated with intuitive algorithms, e.g., based on attribute name similarity, and frequently do not assign lower confidence levels, which indicates over confidence in their choices. Finally, we show that human choices can be reasonably predicted using collaborative algorithmic opinions based on matchers coordination.

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M3 - منشور من مؤتمر

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ER -

What type of a matcher are you: Coordination of human and algorithmic matchers

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