skip to main content
10.1145/3210259.3210260acmconferencesArticle/Chapter ViewAbstractPublication PagesmodConference Proceedingsconference-collections
invited-talk

Challenges and innovations in building a product knowledge graph: extended abstract

Published: 10 June 2018 Publication History

Abstract

Knowledge graphs have been used to support a wide range of applications and enhance search results for multiple major search engines, such as Google and Bing. At Amazon we are building a Product Graph, an authoritative knowledge graph for all products in the world. The thousands of product verticals we need to model, the vast number of data sources we need to extract knowledge from, the huge volume of new products we need to handle every day, and the various applications in Search, Discovery, Personalization, Voice, that we wish to support, all present big challenges in constructing such a graph.
In this talk we describe four scientific directions we are investigating in building and using such a graph, namely, harvesting product knowledge from the web, hands-off-the-wheel knowledge integration and cleaning, human-in-the-loop knowledge learning, and graph mining and graph-enhanced search. This talk will present our progress to achieve near-term goals in each direction, and show the many research opportunities towards our moon-shot goals.

Cited By

View all
  • (2019)A Benchmark for Fact Checking Algorithms Built on Knowledge BasesProceedings of the 28th ACM International Conference on Information and Knowledge Management10.1145/3357384.3358036(689-698)Online publication date: 3-Nov-2019

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
GRADES-NDA '18: Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)
June 2018
94 pages
ISBN:9781450356954
DOI:10.1145/3210259
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 June 2018

Check for updates

Qualifiers

  • Invited-talk

Conference

SIGMOD/PODS '18
Sponsor:

Acceptance Rates

GRADES-NDA '18 Paper Acceptance Rate 10 of 26 submissions, 38%;
Overall Acceptance Rate 29 of 61 submissions, 48%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 16 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2019)A Benchmark for Fact Checking Algorithms Built on Knowledge BasesProceedings of the 28th ACM International Conference on Information and Knowledge Management10.1145/3357384.3358036(689-698)Online publication date: 3-Nov-2019

View Options

View options

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media