research-article

Using SKOS vocabularies for improving web search

Authors:

Bernhard Haslhofer,

Flávio Martins, and

João MagalhãesAuthors Info & Claims

WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web

May 2013

Pages 1253 - 1258

https://doi.org/10.1145/2487788.2488159

Published: 13 May 2013 Publication History

Abstract

Knowledge organization systems such as thesauri or taxonomies are increasingly being expressed using the Simple Knowledge Organization System (SKOS) and published as structured data on the Web. Search engines can exploit these vocabularies and improve search by expanding terms at query or document indexing time. We propose a SKOS-based term expansion and scoring technique that leverages labels and semantic relationships of SKOS concept definitions. We also implemented this technique for Apache Lucene and Solr. Experiments with the Medical Subject Headings vocabulary and an early evaluation with Library of Congress Subject Headings indicated gains in precision when using SKOS-based expansion compared to pseudo relevance feedback and no expansion. Our findings are important for publishers and consumer of Web vocabularies who want to use them for improving search over Web documents.

References

[1]

J. Bai, D. Song, P. Bruza, J.-Y. Nie, and G. Cao. Query expansion using term relationships in language models for information retrieval. In SIGIR'05, pages 688--69 ACM, 2005.

Digital Library

[2]

J. Bhogal, A. Macfarlane, and P. Smith. A review of ontology based query expansion. Information Processing & Management, 43(4):866--886, 2007.

Digital Library

[3]

C. Carpineto and G. Romano. A survey of automatic query expansion in information retrieval. ACM Computing Surveys (CSUR), 44(1):1, 2012.

Digital Library

[4]

T. Heath and C. Bizer. Linked Data: Evolving the Web into a Global Data Space. Morgan & Claypool, 2011.

Digital Library

[5]

W. Hersh, C. Buckley, T. J. Leone, and D. Hickam. OHSUMED: an interactive retrieval evaluation and new large test collection for research. In SIGIR '94, pages 192--201, Aug. 1994.

Digital Library

[6]

W. Hersh, S. Price, and L. Donohoe. Assessing thesaurus-based query expansion using the UMLS Metathesaurus. In Proceedings of the AMIA Symposium, page 344, Jan. 2000.

[7]

J. Lin and D. Demner-Fushman. The role of knowledge in conceptual retrieval. In SIGIR '06, pages 99--106, Aug. 2006.

Digital Library

[8]

N. A. A. Manaf, S. Bechhofer, and R. Stevens. The current state of skos vocabularies on the web. In ESWC, pages 270--284, 2012.

Digital Library

[9]

A. Miles and S. Bechhofer. SKOS Simple Knowledge Organization System Reference. Recommendation, W3C, 2009.

[10]

A. Miles, B. Matthews, M. Wilson, and D. Brickley. SKOS Core: Simple knowledge organisation for the Web, Dec. 2005.

[11]

E. Summers, A. Isaac, C. Redding, and D. Krech. Lcsh, skos and linked data. arXiv preprint arXiv:0805.2855, 2008.

Digital Library

[12]

M. Theobald, R. Schenkel, and G. Weikum. Efficient and self-tuning incremental query expansion for top-k query processing. In SIGIR '05, pages 242--249, Aug. 2005.

Digital Library

[13]

M. Van Assem, V. Malaisé, A. Miles, and G. Schreiber. A Method to Convert Thesauri to SKOS. The Semantic Web: Research and Applications, pages 95--109, 2006.

Digital Library

[14]

E. M. Voorhees. Query expansion using lexical-semantic relations. In SIGIR '94, pages 61--69, Aug. 1994.

Digital Library

[15]

W. Zhou, C. Yu, N. Smalheiser, V. Torvik, and J. Hong. Knowledge-intensive conceptual retrieval and passage extraction of biomedical literature. In SIGIR '07, pages 655--662, July 2007.

Digital Library

Cited By

Koutsomitropoulos D(2021)Validating Ontology-based Annotations of Biomedical Resources using Zero-shot LearningThe 12th International Conference on Computational Systems-Biology and Bioinformatics10.1145/3486713.3486730(37-43)Online publication date: 14-Oct-2021
https://dl.acm.org/doi/10.1145/3486713.3486730
Albertoni RDe Martino MQuarati A(2021)Documenting Context-Based Quality Assessment of Controlled VocabulariesIEEE Transactions on Emerging Topics in Computing10.1109/TETC.2018.28650949:1(144-160)Online publication date: 1-Jan-2021
https://doi.org/10.1109/TETC.2018.2865094
Cabri GMartoglia R(2020)A User-Aware and Semantic Approach for Enterprise SearchNatural Language Processing10.4018/978-1-7998-0951-7.ch016(302-321)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-0951-7.ch016
Show More Cited By

Index Terms

Using SKOS vocabularies for improving web search
1. Information systems
  1. Information retrieval

Recommendations

Semantic turkey goes SKOS managing knowledge organization systems
I-SEMANTICS '12: Proceedings of the 8th International Conference on Semantic Systems

In this paper we describe a novel SKOS editor built on top of the web browser Mozilla Firefox. Our tool is targeted towards KOS developers and KOS consumers as well. Indeed, the ability to surf the Web with a standards compliant browser proves useful ...
Read More
The Use of SKOS Vocabularies in Digital Repositories: The DSpace Case
ICSC '10: Proceedings of the 2010 IEEE Fourth International Conference on Semantic Computing

Thesauri are concept schemes that help in efficiently characterizing and retrieving items from digital libraries. SKOS is a data model that provides a standardized way to represent thesauri-and controlled vocabularies in general-using Resource ...
Read More
SKOS core: simple knowledge organisation for the web
DCMI '05: Proceedings of the 2005 international conference on Dublin Core and metadata applications: vocabularies in practice

This paper introduces SKOS Core, an RDF vocabulary for expressing the basic structure and content of concept schemes (thesauri, classification schemes, subject heading lists, taxonomies, terminologies, glossaries and other types of controlled vocabulary)...
Read More

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web

May 2013

1636 pages

ISBN:9781450320382

DOI:10.1145/2487788

General Chairs:
Daniel Schwabe
PUC-Rio - Brazil
,
Virgílio Almeida
UFMG - Brazil
,
Hartmut Glaser
CGI.br - Brazil
,
Program Chairs:
Ricardo Baeza-Yates
Yahoo! Labs - Spain & Chile
,
Sue Moon
KAIST - South Korea

Copyright © 2013 Copyright is held by the International World Wide Web Conference Committee (IW3C2).

Sponsors

NICBR: Nucleo de Informatcao e Coordenacao do Ponto BR
CGIBR: Comite Gestor da Internet no Brazil

In-Cooperation

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 May 2013

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

WWW '13

Sponsor:

NICBR
CGIBR

WWW '13: 22nd International World Wide Web Conference

May 13 - 17, 2013

Rio de Janeiro, Brazil

Acceptance Rates

WWW '13 Companion Paper Acceptance Rate 831 of 1,250 submissions, 66%;

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

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

11
Total Citations
View Citations
252
Total Downloads

Downloads (Last 12 months)9
Downloads (Last 6 weeks)0

Other Metrics

View Author Metrics

Citations

Cited By

Koutsomitropoulos D(2021)Validating Ontology-based Annotations of Biomedical Resources using Zero-shot LearningThe 12th International Conference on Computational Systems-Biology and Bioinformatics10.1145/3486713.3486730(37-43)Online publication date: 14-Oct-2021
https://dl.acm.org/doi/10.1145/3486713.3486730
Albertoni RDe Martino MQuarati A(2021)Documenting Context-Based Quality Assessment of Controlled VocabulariesIEEE Transactions on Emerging Topics in Computing10.1109/TETC.2018.28650949:1(144-160)Online publication date: 1-Jan-2021
https://doi.org/10.1109/TETC.2018.2865094
Cabri GMartoglia R(2020)A User-Aware and Semantic Approach for Enterprise SearchNatural Language Processing10.4018/978-1-7998-0951-7.ch016(302-321)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-0951-7.ch016
Martoglia RCabri G(2018)A User-Aware and Semantic Approach for Enterprise SearchInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.201810010714:4(129-146)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.4018/IJSWIS.2018100107
de Sousa PFerreira ANeto MNovais RFerraz CViana W(2018)Estimating Similarity Among Entities Aided by the Web when Only the Entity Name is AvailableProceedings of the 24th Brazilian Symposium on Multimedia and the Web10.1145/3243082.3243118(253-260)Online publication date: 16-Oct-2018
https://dl.acm.org/doi/10.1145/3243082.3243118
Torre-Bastida ABermúdez JIllarramendi A(2018)A Rule-Based Transducer for Querying Incompletely Aligned DatasetsACM Transactions on the Web10.1145/322832812:4(1-40)Online publication date: 27-Sep-2018
https://dl.acm.org/doi/10.1145/3228328
Bratsas CFilippidis PKarampatakis SIoannidis L(2018)Developing a scientific knowledge graph through conceptual linking of academic classifications2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)10.1109/SMAP.2018.8501869(113-118)Online publication date: Sep-2018
https://doi.org/10.1109/SMAP.2018.8501869
Quarati AAlbertoni RDe Martino M(2017)Overall quality assessment of SKOS thesauriJournal of Information Science10.1177/016555151667107943:6(816-834)Online publication date: 1-Dec-2017
https://dl.acm.org/doi/10.1177/0165551516671079
Koutsomitropoulos DSolomou GKalou K(2017)Federated semantic search using terminological thesauri for learning object discoveryJournal of Enterprise Information Management10.1108/JEIM-06-2016-011630:5(795-808)Online publication date: 11-Sep-2017
https://doi.org/10.1108/JEIM-06-2016-0116
Beneventano DBergamaschi SMartoglia R(2016)Exploiting semantics for searching agricultural bibliographic dataJournal of Information Science10.1177/016555151560657942:6(748-762)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1177/0165551515606579
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents