research-article

Ad-hoc object retrieval in the web of data

Authors:

Hugo ZaragozaAuthors Info & Claims

WWW '10: Proceedings of the 19th international conference on World wide web

Pages 771 - 780

https://doi.org/10.1145/1772690.1772769

Published: 26 April 2010 Publication History

Abstract

Semantic Search refers to a loose set of concepts, challenges and techniques having to do with harnessing the information of the growing Web of Data (WoD) for Web search. Here we propose a formal model of one specific semantic search task: ad-hoc object retrieval. We show that this task provides a solid framework to study some of the semantic search problems currently tackled by commercial Web search engines. We connect this task to the traditional ad-hoc document retrieval and discuss appropriate evaluation metrics. Finally, we carry out a realistic evaluation of this task in the context of a Web search application.

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Cited By

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
Bari ASingh SWu YGarg TKer EWang CKang BSimpson ALee DNagel D(2024)Towards Understanding Low Energy Nuclear Reactions: Structuring the Literature and Applying Data Analytics2024 9th International Conference on Big Data Analytics (ICBDA)10.1109/ICBDA61153.2024.10607191(70-84)Online publication date: 16-Mar-2024
https://doi.org/10.1109/ICBDA61153.2024.10607191
Arabzadeh NGolzadeh KRisi CClarke CZhao J(2024)KnowFIRES: A Knowledge-Graph Framework for Interpreting Retrieved Entities from SearchAdvances in Information Retrieval10.1007/978-3-031-56069-9_15(182-188)Online publication date: 23-Mar-2024
https://doi.org/10.1007/978-3-031-56069-9_15
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Index Terms

Ad-hoc object retrieval in the web of data
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking

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Published In

cover image ACM Other conferences

WWW '10: Proceedings of the 19th international conference on World wide web

April 2010

1407 pages

ISBN:9781605587998

DOI:10.1145/1772690

General Chairs:
Michael Rappa
North Carolina State University, USA
,
Paul Jones
University of North Carolina at Chapel Hill, USA
,
Program Chairs:
Juliana Freire
University of Utah, USA
,
Soumen Chakrabarti
Indian Institute of Technology, India

Copyright © 2010 International World Wide Web Conference Committee (IW3C2).

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 April 2010

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WWW '10

WWW '10: The 19th International World Wide Web Conference

April 26 - 30, 2010

North Carolina, Raleigh, USA

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

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
Bari ASingh SWu YGarg TKer EWang CKang BSimpson ALee DNagel D(2024)Towards Understanding Low Energy Nuclear Reactions: Structuring the Literature and Applying Data Analytics2024 9th International Conference on Big Data Analytics (ICBDA)10.1109/ICBDA61153.2024.10607191(70-84)Online publication date: 16-Mar-2024
https://doi.org/10.1109/ICBDA61153.2024.10607191
Arabzadeh NGolzadeh KRisi CClarke CZhao J(2024)KnowFIRES: A Knowledge-Graph Framework for Interpreting Retrieved Entities from SearchAdvances in Information Retrieval10.1007/978-3-031-56069-9_15(182-188)Online publication date: 23-Mar-2024
https://doi.org/10.1007/978-3-031-56069-9_15
Arabzadeh NBigdeli ABagheri E(2024)LaQuE: Enabling Entity Search at ScaleAdvances in Information Retrieval10.1007/978-3-031-56060-6_18(270-285)Online publication date: 16-Mar-2024
https://doi.org/10.1007/978-3-031-56060-6_18
Rogushina J(2023)A three-dimensional model of semantic search: queries, resources, and resultsPROBLEMS IN PROGRAMMING10.15407/pp2023.04.039(39-55)Online publication date: Dec-2023
https://doi.org/10.15407/pp2023.04.039
Oza PDietz L(2023)Entity Embeddings for Entity Ranking: A Replicability StudyAdvances in Information Retrieval10.1007/978-3-031-28241-6_8(117-131)Online publication date: 2-Apr-2023
https://dl.acm.org/doi/10.1007/978-3-031-28241-6_8
Oza PAl Hasan MXiong L(2022)Identify Relevant Entities Through Text UnderstandingProceedings of the 31st ACM International Conference on Information & Knowledge Management10.1145/3511808.3557819(5124-5127)Online publication date: 17-Oct-2022
https://dl.acm.org/doi/10.1145/3511808.3557819
Jafarzadeh PEnsan F(2022)A semantic approach to post-retrieval query performance predictionInformation Processing and Management: an International Journal10.1016/j.ipm.2021.10274659:1Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1016/j.ipm.2021.102746
Neves ALeme LIzquierdo YJiménez JLopes GCasanova M(2022)Automatically Creating Benchmarks for RDF Keyword Search EvaluationSN Computer Science10.1007/s42979-022-01100-53:4Online publication date: 30-May-2022
https://doi.org/10.1007/s42979-022-01100-5
Cudre-Mauroux P(2022)Semantic SearchEncyclopedia of Big Data Technologies10.1007/978-3-319-63962-8_231-2(1-6)Online publication date: 15-Jun-2022
https://doi.org/10.1007/978-3-319-63962-8_231-2
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