Year: 2020
Type: conference-paper
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 \ntransformer-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.
Source: MADOC (University of Mannheim)
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3097384126