A cognitive model of human bias in matching

Rakefet Ackerman; Avigdor Gal; Tomer Sagi; Roee Shraga

doi:10.1007/978-3-030-29908-8_50

A cognitive model of human bias in matching

Rakefet Ackerman, Avigdor Gal, Tomer Sagi, Roee Shraga

Department of Information Systems

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

Abstract

The schema matching problem is at the basis of integrating structured and semi-structured data. Being investigated in the fields of databases, AI, semantic Web and data mining for many years, the core challenge still remains the ability to create quality matchers, automatic tools for identifying correspondences among data concepts (e.g., database attributes). In this work, we investigate human matchers behavior using a new concept termed match consistency and introduce a novel use of cognitive models to explain human matcher performance. Using empirical evidence, we further show that human matching suffers from predictable biases when matching schemata, which prevent them from providing consistent matching.

Original language	English
Title of host publication	PRICAI 2019
Subtitle of host publication	Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings
Editors	Abhaya C. Nayak, Alok Sharma
Publisher	Springer Verlag
Pages	632-646
Number of pages	15
ISBN (Print)	9783030299071
DOIs	https://doi.org/10.1007/978-3-030-29908-8_50
State	Published - 2019
Event	16th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2019 - Yanuka Island, Fiji Duration: 26 Aug 2019 → 30 Aug 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11670 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2019
Country/Territory	Fiji
City	Yanuka Island
Period	26/08/19 → 30/08/19

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2019.

Keywords

Data integration
Human-in-the-loop
Schema matching

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-29908-8_50

Cite this

Ackerman, R., Gal, A., Sagi, T., & Shraga, R. (2019). A cognitive model of human bias in matching. In A. C. Nayak, & A. Sharma (Eds.), PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings (pp. 632-646). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11670 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-29908-8_50

Ackerman, Rakefet ; Gal, Avigdor ; Sagi, Tomer et al. / A cognitive model of human bias in matching. PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings. editor / Abhaya C. Nayak ; Alok Sharma. Springer Verlag, 2019. pp. 632-646 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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keywords = "Data integration, Human-in-the-loop, Schema matching",

author = "Rakefet Ackerman and Avigdor Gal and Tomer Sagi and Roee Shraga",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 16th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2019 ; Conference date: 26-08-2019 Through 30-08-2019",

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Ackerman, R, Gal, A, Sagi, T & Shraga, R 2019, A cognitive model of human bias in matching. in AC Nayak & A Sharma (eds), PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11670 LNAI, Springer Verlag, pp. 632-646, 16th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2019, Yanuka Island, Fiji, 26/08/19. https://doi.org/10.1007/978-3-030-29908-8_50

A cognitive model of human bias in matching. / Ackerman, Rakefet; Gal, Avigdor; Sagi, Tomer et al.
PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings. ed. / Abhaya C. Nayak; Alok Sharma. Springer Verlag, 2019. p. 632-646 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11670 LNAI).

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

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AB - The schema matching problem is at the basis of integrating structured and semi-structured data. Being investigated in the fields of databases, AI, semantic Web and data mining for many years, the core challenge still remains the ability to create quality matchers, automatic tools for identifying correspondences among data concepts (e.g., database attributes). In this work, we investigate human matchers behavior using a new concept termed match consistency and introduce a novel use of cognitive models to explain human matcher performance. Using empirical evidence, we further show that human matching suffers from predictable biases when matching schemata, which prevent them from providing consistent matching.

KW - Data integration

KW - Human-in-the-loop

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Ackerman R, Gal A, Sagi T, Shraga R. A cognitive model of human bias in matching. In Nayak AC, Sharma A, editors, PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings. Springer Verlag. 2019. p. 632-646. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-29908-8_50

A cognitive model of human bias in matching

Abstract

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Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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