research-article

Semantic similarity in heterogeneous ontologies

Authors:

Elisa Chiabrando,

Silvia Likavec,

Ilaria Lombardi,

Claudia Picardi,

Daniele Theseider DupréAuthors Info & Claims

HT '11: Proceedings of the 22nd ACM conference on Hypertext and hypermedia

Pages 153 - 160

https://doi.org/10.1145/1995966.1995989

Published: 06 June 2011 Publication History

Abstract

Recent extensive usage of ontologies as knowledge bases that enable rigorous representation and reasoning over heterogenous data poses certain challenges in their construction and maintenance. Many of these ontologies are incomplete, containing many dense sub-ontologies. A need arises for a measure that would help calculate the similarity between the concepts in these kinds of ontologies. In this work, we introduce a new similarity measure for ontological concepts that takes these issues into account. It is based on conceptual specificity, which measures how much a certain concept is relevant in a given context, and on conceptual distance, which introduces different edge lengths in the ontology graph. We also address the problem of computing similarity between concepts in the presence of implicit classes in ontologies. The evaluation of our approach shows an improvement over Leacock and Chodorow's distance based measure. Finally, we provide two application domains which can benefit when this similarity measure is used.

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Cited By

Chen ZXiao L(2019)Agent Component Reuse Based on Semantics Concept SimilarityProceedings of the 2019 2nd International Conference on Computers in Management and Business10.1145/3328886.3328891(19-23)Online publication date: 24-Mar-2019
https://dl.acm.org/doi/10.1145/3328886.3328891
Leonardi GStriani MQuaglini SCavallini AMontani S(2018)Leveraging semantic labels for multi-level abstraction in medical process mining and trace comparisonJournal of Biomedical Informatics10.1016/j.jbi.2018.05.01283(10-24)Online publication date: Jul-2018
https://doi.org/10.1016/j.jbi.2018.05.012
Mohammadhassanzadeh HVan Woensel WAbidi SAbidi S(2017)Semantics-based plausible reasoning to extend the knowledge coverage of medical knowledge bases for improved clinical decision supportBioData Mining10.1186/s13040-017-0123-y10:1Online publication date: 10-Feb-2017
https://doi.org/10.1186/s13040-017-0123-y
Show More Cited By

Index Terms

Semantic similarity in heterogeneous ontologies
1. Information systems
  1. Information retrieval
    1. Document representation

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Published In

cover image ACM Conferences

HT '11: Proceedings of the 22nd ACM conference on Hypertext and hypermedia

June 2011

348 pages

ISBN:9781450302562

DOI:10.1145/1995966

General Chair:
Paul De Bra
Eindhoven University of Technology, the Netherlands
,
Program Chair:
Kaj Grønbæk
Aarhus University, Denmark

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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

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Association for Computing Machinery

New York, NY, United States

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Published: 06 June 2011

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HT '11: 22nd ACM Conference on Hypertext and Hypermedia

June 6 - 9, 2011

Eindhoven, The Netherlands

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Overall Acceptance Rate 378 of 1,158 submissions, 33%

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Cited By

Chen ZXiao L(2019)Agent Component Reuse Based on Semantics Concept SimilarityProceedings of the 2019 2nd International Conference on Computers in Management and Business10.1145/3328886.3328891(19-23)Online publication date: 24-Mar-2019
https://dl.acm.org/doi/10.1145/3328886.3328891
Leonardi GStriani MQuaglini SCavallini AMontani S(2018)Leveraging semantic labels for multi-level abstraction in medical process mining and trace comparisonJournal of Biomedical Informatics10.1016/j.jbi.2018.05.01283(10-24)Online publication date: Jul-2018
https://doi.org/10.1016/j.jbi.2018.05.012
Mohammadhassanzadeh HVan Woensel WAbidi SAbidi S(2017)Semantics-based plausible reasoning to extend the knowledge coverage of medical knowledge bases for improved clinical decision supportBioData Mining10.1186/s13040-017-0123-y10:1Online publication date: 10-Feb-2017
https://doi.org/10.1186/s13040-017-0123-y
Xiaorong GYingzhuo X(2017)Research on Improved Model for Concept Similarity Computation in Domain Ontology and Application2017 International Conference on Robots & Intelligent System (ICRIS)10.1109/ICRIS.2017.72(257-261)Online publication date: Oct-2017
https://doi.org/10.1109/ICRIS.2017.72
(2015)A knowledge-intensive approach to process similarity calculationExpert Systems with Applications: An International Journal10.1016/j.eswa.2015.01.02742:9(4207-4215)Online publication date: 1-Jun-2015
https://dl.acm.org/doi/10.1016/j.eswa.2015.01.027
Chiabrando EFurnari RLikavec SOsborne FPicardi CDupré D(2014)TellEat: Sharing Experiences on the MoveHuman-Computer Interaction. Applications and Services10.1007/978-3-319-07227-2_36(377-388)Online publication date: 2014
https://doi.org/10.1007/978-3-319-07227-2_36
Osborne FLikavec SCena F(2013)Granular Semantic User Similarity in the Presence of Sparse DataProceeding of the XIIIth International Conference on AI*IA 2013: Advances in Artificial Intelligence - Volume 824910.1007/978-3-319-03524-6_33(385-396)Online publication date: 4-Dec-2013
https://dl.acm.org/doi/10.1007/978-3-319-03524-6_33
Cena FLikavec SOsborne F(2011)Propagating user interests in ontology-based user modelProceedings of the 12th international conference on Artificial intelligence around man and beyond10.5555/2041977.2042011(299-311)Online publication date: 15-Sep-2011
https://dl.acm.org/doi/10.5555/2041977.2042011
Cena FLikavec SOsborne F(2011)Propagating User Interests in Ontology-Based User ModelProceedings of the XIIth International Conference on AI*IA 2011: Artificial Intelligence Around Man and Beyond - Volume 693410.1007/978-3-642-23954-0_28(299-311)Online publication date: 15-Sep-2011
https://dl.acm.org/doi/10.1007/978-3-642-23954-0_28

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