tutorial

Utilizing Knowledge Graphs for Text-Centric Information Retrieval

Authors:

Alexander Kotov,

Edgar MeijAuthors Info & Claims

SIGIR '18: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval

Pages 1387 - 1390

https://doi.org/10.1145/3209978.3210187

Published: 27 June 2018 Publication History

Abstract

The past decade has witnessed the emergence of several publicly available and proprietary knowledge graphs (KGs). The depth and breadth of content in these KGs made them not only rich sources of structured knowledge by themselves, but also valuable resources for search systems. A surge of recent developments in entity linking and entity retrieval methods gave rise to a new line of research that aims at utilizing KGs for text-centric retrieval applications. This tutorial is the first to summarize and disseminate the progress in this emerging area to industry practitioners and researchers.

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Cited By

Li TChen RDuan YYao HLi SLi X(2025)HGeoKG: A Hierarchical Geographic Knowledge Graph for Geographic Knowledge ReasoningISPRS International Journal of Geo-Information10.3390/ijgi1401001814:1(18)Online publication date: 3-Jan-2025
https://doi.org/10.3390/ijgi14010018
Singh PBhowmick P(2025)Knowledge graph based entity selection framework for ad-hoc retrievalWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2024.10084884:COnline publication date: 18-Feb-2025
https://dl.acm.org/doi/10.1016/j.websem.2024.100848
Chen TWang TZhang HXu J(2025)M2KGRL: A semantic-matching based framework for multimodal knowledge graph representation learningExpert Systems with Applications10.1016/j.eswa.2025.126388269(126388)Online publication date: Apr-2025
https://doi.org/10.1016/j.eswa.2025.126388
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Index Terms

Utilizing Knowledge Graphs for Text-Centric Information Retrieval
1. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
      1. Presentation of retrieval results

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Information & Contributors

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Published In

cover image ACM Conferences

SIGIR '18: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval

June 2018

1509 pages

ISBN:9781450356572

DOI:10.1145/3209978

General Chairs:
Kevyn Collins-Thompson
University of Michigan, United States
,
Qiaozhu Mei
University of Michigan, United States
,
Program Chairs:
Brian Davison
Lehigh University, United States
,
Yiqun Liu
Tsinghua University, China
,
Emine Yilmaz
University College London, United Kingdom

Copyright © 2018 Owner/Author.

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.

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SIGIR: ACM Special Interest Group on Information Retrieval

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 June 2018

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Baden-Württemberg Stiftung

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SIGIR '18

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SIGIR

SIGIR '18: The 41st International ACM SIGIR conference on research and development in Information Retrieval

July 8 - 12, 2018

MI, Ann Arbor, USA

Acceptance Rates

SIGIR '18 Paper Acceptance Rate 86 of 409 submissions, 21%;

Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

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https://doi.org/10.3390/ijgi14010018
Singh PBhowmick P(2025)Knowledge graph based entity selection framework for ad-hoc retrievalWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2024.10084884:COnline publication date: 18-Feb-2025
https://dl.acm.org/doi/10.1016/j.websem.2024.100848
Chen TWang TZhang HXu J(2025)M2KGRL: A semantic-matching based framework for multimodal knowledge graph representation learningExpert Systems with Applications10.1016/j.eswa.2025.126388269(126388)Online publication date: Apr-2025
https://doi.org/10.1016/j.eswa.2025.126388
Beimel DAlbagli-Kim S(2024)Enhancing Medical Decision Making: A Semantic Technology-Based Framework for Efficient Diagnosis InferenceMathematics10.3390/math1204050212:4(502)Online publication date: 6-Feb-2024
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Zeng KJin HLv XZhu FHou LZhang YPang FQi YLiu DLi JFeng L(2024)XLORE 3: A Large-Scale Multilingual Knowledge Graph from Heterogeneous Wiki Knowledge ResourcesACM Transactions on Information Systems10.1145/366052142:6(1-47)Online publication date: 19-Aug-2024
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Wang QMao ZGao JZhang Y(2024)Document-level Relation Extraction with Progressive Self-distillationACM Transactions on Information Systems10.1145/365616842:6(1-34)Online publication date: 25-Jun-2024
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Guan XTreude CBaysal OLinares-Vasquez MMoran KSteinmacher I(2024)Enhancing Source Code Representations for Deep Learning with Static AnalysisProceedings of the 32nd IEEE/ACM International Conference on Program Comprehension10.1145/3643916.3644396(64-68)Online publication date: 15-Apr-2024
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Zhao TChen JRu YLin QGeng YLiu JHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Untargeted Adversarial Attack on Knowledge Graph EmbeddingsProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657702(1701-1711)Online publication date: 10-Jul-2024
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