MWPD2020: Semantic Web challenge on Mining the Web of HTML-embedded product data

Zhang, Ziqi ; Bizer, Christian ; Peeters, Ralph ; Primpeli, Anna

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Document Type: Conference or workshop publication
Year of publication: 2020
Book title: MWPD 2020 : Proceedings of the Semantic Web Challenge on Mining the Web of HTML-embedded Product Data co-located with the 19th International Semantic Web Conference (ISWC 2020) Athens, Greece, November 5, 2020
The title of a journal, publication series: CEUR Workshop Proceedings
Volume: 2720
Page range: 2-18
Conference title: ISWC 2020
Location of the conference venue: Online
Date of the conference: 01.-06.11.2020
Publisher: Zhang, Ziqi
Place of publication: Aachen, Germany
Publishing house: RWTH Aachen
ISSN: 1613-0073
Publication language: English
Institution: School of Business Informatics and Mathematics > Information Systems V: Web-based Systems (Bizer 2012-)
Subject: 004 Computer science, internet
Keywords (English): entity matching , hierarchical classification , e-commerce , , microdata , benchmarking
Abstract: This paper gives an overview of the Semantic Web Challenge on Mining the Web of HTML-embedded Product Data (MWPD2020) which has been conducted as part of the International Semantic Web Conference (ISWC2020). The challenge consists of two tasks: product matching and product classification. In the first task, participants need to identify offers for the same product originating from different websites. The goal of the second task is to categorize offers from different websites into the GS1 GPC product hierarchy. Six teams from the USA, China, Japan, and Germany participated in the challenge. The winning system in Task 1, PMap, achieved an F1 score of 86.05 using an ensemble of transformer-based language models. Task 2 was won by team Rhinobird achieving a weighted average F1 score of 88.62 using a BERT-based ensemble which considers the dependencies among different category levels.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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