research-article

SemFacet: Making Hard Faceted Search Easier

Authors:

Evgeny Kharlamov,

Luca Giacomelli,

Evgeny Sherkhonov,

Bernardo Cuenca Grau,

Egor V. Kostylev,

Ian HorrocksAuthors Info & Claims

CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management

Pages 2475 - 2478

https://doi.org/10.1145/3132847.3133192

Published: 06 November 2017 Publication History

Abstract

Faceted search is a prominent search paradigm that became the standard in many Web applications and has also been recently proposed as a suitable paradigm for exploring and querying RDF graphs. One of the main challenges that hampers usability of faceted search systems especially in the RDF context is information overload, that is, when the size of faceted interfaces becomes comparable to the size of the data over which the search is performed. In this demo we present (an extension of) our faceted search system SemFacet and focus on features that address the information overload: ranking, aggregation, and reachability. The demo attendees will be able to try our system on an RDF graph that models online shopping over a catalogs with up to millions of products.

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Cited By

Papadaki MTzitzikas Y(2024)Unifying Faceted Search and Analytics over RDF Knowledge GraphsKnowledge and Information Systems10.1007/s10115-024-02076-966:7(3921-3958)Online publication date: 24-Mar-2024
https://doi.org/10.1007/s10115-024-02076-9
Ali ECaputo AJones G(2023)A Comprehensive Survey of Facet Ranking Approaches Used in Faceted Search SystemsInformation10.3390/info1407038714:7(387)Online publication date: 7-Jul-2023
https://doi.org/10.3390/info14070387
Papadaki MTzitzikas YMountantonakis M(2023)A Brief Survey of Methods for Analytics over RDF Knowledge GraphsAnalytics10.3390/analytics20100042:1(55-74)Online publication date: 17-Jan-2023
https://doi.org/10.3390/analytics2010004
Show More Cited By

Index Terms

SemFacet: Making Hard Faceted Search Easier
1. Information systems
  1. Information systems applications
    1. Enterprise information systems

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Published In

cover image ACM Conferences

CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management

November 2017

2604 pages

ISBN:9781450349185

DOI:10.1145/3132847

General Chairs:
Ee-Peng Lim
Singapore Management University, Singapore
,
Marianne Winslett
University of Illinois at Urbana-Champaign, USA, and Advanced Digital Sciences Center, Singapore
,
Program Chairs:
Mark Sanderson
RMIT, Australia
,
Ada Fu
Chinese University of Hong Kong, Hong Kong
,
Jimeng Sun
Georgia Tech, USA
,
Shane Culpepper
RMIT, Australia
,
Eric Lo
Chinese University of Hong Kong, Hong Kong
,
Joyce Ho
Emory University, USA
,
Debora Donato
Mix Tech, Inc., USA
,
Rakesh Agrawal
Data Insights Laboratories, USA
,
Yu Zheng
Microsoft Research Asia, China
,
Carlos Castillo
Qatar Computing Research Institute, Qatar
,
Aixin Sun
Nanyang Technological University, Singapore
,
Vincent S. Tseng
National Cheng Kung University, Taiwan
,
Chenliang Li
Wuhan University, China

Copyright © 2017 ACM.

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Publication History

Published: 06 November 2017

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Engineering and Physical Science Research Council

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CIKM '17

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CIKM '17: ACM Conference on Information and Knowledge Management

November 6 - 10, 2017

Singapore, Singapore

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CIKM '17 Paper Acceptance Rate 171 of 855 submissions, 20%;

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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CIKM '25

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Cited By

Papadaki MTzitzikas Y(2024)Unifying Faceted Search and Analytics over RDF Knowledge GraphsKnowledge and Information Systems10.1007/s10115-024-02076-966:7(3921-3958)Online publication date: 24-Mar-2024
https://doi.org/10.1007/s10115-024-02076-9
Ali ECaputo AJones G(2023)A Comprehensive Survey of Facet Ranking Approaches Used in Faceted Search SystemsInformation10.3390/info1407038714:7(387)Online publication date: 7-Jul-2023
https://doi.org/10.3390/info14070387
Papadaki MTzitzikas YMountantonakis M(2023)A Brief Survey of Methods for Analytics over RDF Knowledge GraphsAnalytics10.3390/analytics20100042:1(55-74)Online publication date: 17-Jan-2023
https://doi.org/10.3390/analytics2010004
Pankowski T(2022)Ontological databases with faceted queriesThe VLDB Journal10.1007/s00778-022-00735-332:1(103-121)Online publication date: 15-Mar-2022
https://doi.org/10.1007/s00778-022-00735-3
Zhou BSvetashova YGusmao ASoylu ACheng GMikut RWaaler AKharlamov E(2021)SemML: Facilitating development of ML models for condition monitoring with semanticsJournal of Web Semantics10.1016/j.websem.2021.10066471(100664)Online publication date: Nov-2021
https://doi.org/10.1016/j.websem.2021.100664
Mahdi MAhmad AQassim QSubhi M(2021)Use of Faceted Search: The Effect on ResearchersAdvances in Visual Informatics10.1007/978-3-030-90235-3_24(276-286)Online publication date: 16-Nov-2021
https://doi.org/10.1007/978-3-030-90235-3_24
Wenzel MLiebig TGlimm B(2021)HDT Bitmap Triple Indices for Efficient RDF Data ExplorationThe Semantic Web10.1007/978-3-030-77385-4_7(109-125)Online publication date: 31-May-2021
https://doi.org/10.1007/978-3-030-77385-4_7
Mahdi MAhmad AIsmail RSubhi M(2020)Review of Techniques in Faceted Search Applications2020 International Symposium on Networks, Computers and Communications (ISNCC)10.1109/ISNCC49221.2020.9297275(1-5)Online publication date: 20-Oct-2020
https://doi.org/10.1109/ISNCC49221.2020.9297275
Yu BHe ZXing ALustria M(2019)An Informatics Framework to Assess Consumer Health Language Complexity Differences: A Proof-of-Concept Study (Preprint)Journal of Medical Internet Research10.2196/16795Online publication date: 31-Oct-2019
https://doi.org/10.2196/16795
Roosens DMcGlinn KDebruyne C(2019)Using Maps for Interlinking Geospatial Linked DataOn the Move to Meaningful Internet Systems: OTM 2019 Conferences10.1007/978-3-030-33246-4_14(209-226)Online publication date: 11-Oct-2019
https://doi.org/10.1007/978-3-030-33246-4_14
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