skip to main content
10.1145/2505515.2505564acmconferencesArticle/Chapter ViewAbstractPublication PagescikmConference Proceedingsconference-collections
research-article

Mapping adaptation actions for the automatic reconciliation of dynamic ontologies

Published: 27 October 2013 Publication History

Abstract

The highly dynamic nature of domain ontologies has a direct impact on semantic mappings established between concepts from different ontologies. Mappings must therefore be maintained according to ongoing ontology changes. Since many software applications exploit mappings for managing information and knowledge, it is important to define appropriate adaptation strategies to apply to existing mappings in order to keep their validity over time. In this article, we propose a set of mapping adaptation actions and present how they are used to maintain mappings up-to-date based on ontology change operations of different nature. We conduct an experimental evaluation using life sciences ontologies and mappings. We measure the evolution of mappings based on the proposed approach to mapping adaptation. The results confirm that mappings must be individually adapted according to the different types of ontology change.

References

[1]
O. Bodenreider and R. Stevens. Bio-ontologies: current trends and future directions. Briefings in bioinformatics, 7(3), 2006.
[2]
S. Castano, A. Ferrara, D. Lorusso, T. H. N, and M. Ralf. Mapping Validation by Probabilistic Reasoning. In Proc. of the 5th European semantic web conference on The semantic web: research and applications, pages 170--184, 2008.
[3]
D. Dinh, J. Dos Reis, C. Pruski, M. Da Silveira, and C. Reynaud-Delaître. Identification des informations conceptuelles définissant un alignement entre ontologies médicales. In Symposium sur l'Ingénierie de l'Information Médicale, 2013.
[4]
J. Dos Reis, C. Pruski, M. Da Silveira, and C. Reynaud-Delaitre. Characterizing Semantic Mappings Adaptation via Biomedical KOS Evolution: A case Study investigating SNOMED CT and ICD-9-CM. In Proc. of the AMIA Symposium, 2013.
[5]
J. Dos Reis, C. Pruski, M. Da Silveira, and C. Reynaud-Delaître. Analyzing and Supporting the Mapping Maintenance Problem in Biomedical Knowledge Organization Systems. In Proc. SIMI Workshop at ESWC, pages 25--36, 2012.
[6]
J. Euzenat and P. Shvaiko. Ontology matching. Springer, 2007.
[7]
A. Gro', J. C. Dos Reis, M. Hartung, C. Pruski, and E. Rahm. Semi-Automatic Adaptation of Mappings between Life Science Ontologies. In Proc. of the 9th Int. Conf. on Data Integration in the Life Sciences, pages 90--104, 2013.
[8]
A. Gro', M. Hartung, A. Thor, and E. Rahm. How do computed ontology mappings evolve-A case study for life science ontologies. Joint Workshop on Knowledge Evolution and Ontology Dynamics, 2012.
[9]
T. R. Gruber. A translation approach to portable ontology specifications. Knowl. Acquis., 5(2):199--220, June 1993.
[10]
M. Hartung, A. Gross, and E. Rahm. COnto-Diff: Generation of Complex Evolution Mappings for Life Science Ontologies. Journal of Biomedical Informatics, 46:15--32, 2013.
[11]
A. Khattak, Z. Pervez, K. Latif, and S. Lee. Time efficient reconciliation of mappings in dynamic web ontologies. Knowl.-Based Syst., 35, 2012.
[12]
Y. Kitamura and S. Segawa. Deep Semantic Mapping between Functional Taxonomies for Interoperable Semantic Search. In J. Domingue and C. Anutariya, editors, ASWC, pages 137--151. Springer, 2008.
[13]
P. Lambrix, L. Strömbäch, and H. Tan. Information Integration in Bioinformatics with Ontologies and Standards. In F. Bry and et. al., editors, Semantic Techniques for the Web, pages 343--376. 2009.
[14]
E. Maedche and S. Staab. Measuring Similarity between Ontologies. In Proc. of the European Conference on Knowledge Acquisition and Management (EKAW), pages 251--263. Springer, 2002.
[15]
H. Martins and N. Silva. A User-Driven and a Semantic-Based Ontology Mapping Evolution Approach. In Proc. of ICEIS, 2009.
[16]
C. Meilicke, H. Stuckenschmidt, and A. Tamilin. Reasoning Support for Mapping Revision. Journal of Logic and Computation, 19(5), 2008.
[17]
P. Shvaiko and J. Euzenat. Ontology Matching: State of the Art and Future Challenges. IEEE Trans. Knowl. Data Eng., 25(1):158--176, 2013.
[18]
F. Tang and R. Tang. Minimizing Influence of Ontology Evolution In Ontology-based Data Access System. In IEEE Int. Conf. on Progress in Informatics and Computing (PIC), pages 10--14, 2010.
[19]
Y. Velegrakis, R. J. Miller, and L. Popa. Mapping adaptation under evolving schemas. In Proc. of the 29th Int. Conf. on Very large data bases - Volume 29, VLDB '03, pages 584--595. VLDB Endowment, 2003.
[20]
C. Yu and L. Popa. Semantic adaptation of schema mappings when schemas evolve. VLDB'05, pages 1006--1017, 2005.

Cited By

View all
  • (2022)OWL ontology evolution: understanding and unifying the complex changesThe Knowledge Engineering Review10.1017/S026988892200006637Online publication date: 21-Nov-2022
  • (2018)Methods for Ontology Alignment ChangeHandbook of Research on Contemporary Perspectives on Web-Based Systems10.4018/978-1-5225-5384-7.ch011(214-239)Online publication date: 2018
  • (2016)Alignment Evolution under Ontology ChangeInternational Journal of Information Technology and Web Engineering10.4018/IJITWE.201604010211:2(14-38)Online publication date: 1-Apr-2016
  • Show More Cited By

Index Terms

  1. Mapping adaptation actions for the automatic reconciliation of dynamic ontologies

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management
      October 2013
      2612 pages
      ISBN:9781450322638
      DOI:10.1145/2505515
      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]

      Sponsors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 27 October 2013

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. mapping adaptation
      2. mapping evolution
      3. mapping maintenance
      4. ontology evolution
      5. ontology mappings

      Qualifiers

      • Research-article

      Conference

      CIKM'13
      Sponsor:
      CIKM'13: 22nd ACM International Conference on Information and Knowledge Management
      October 27 - November 1, 2013
      California, San Francisco, USA

      Acceptance Rates

      CIKM '13 Paper Acceptance Rate 143 of 848 submissions, 17%;
      Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

      Upcoming Conference

      CIKM '25

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)1
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 20 Feb 2025

      Other Metrics

      Citations

      Cited By

      View all
      • (2022)OWL ontology evolution: understanding and unifying the complex changesThe Knowledge Engineering Review10.1017/S026988892200006637Online publication date: 21-Nov-2022
      • (2018)Methods for Ontology Alignment ChangeHandbook of Research on Contemporary Perspectives on Web-Based Systems10.4018/978-1-5225-5384-7.ch011(214-239)Online publication date: 2018
      • (2016)Alignment Evolution under Ontology ChangeInternational Journal of Information Technology and Web Engineering10.4018/IJITWE.201604010211:2(14-38)Online publication date: 1-Apr-2016
      • (2016)Towards natural language question generation for the validation of ontologies and mappingsJournal of Biomedical Semantics10.1186/s13326-016-0089-67:1Online publication date: 8-Aug-2016
      • (2015)Completing the is-a structure in light-weight ontologiesJournal of Biomedical Semantics10.1186/s13326-015-0002-86:1Online publication date: 28-Mar-2015
      • (2015)Recognizing lexical and semantic change patterns in evolving life science ontologies to inform mapping adaptationArtificial Intelligence in Medicine10.1016/j.artmed.2014.11.00263:3(153-170)Online publication date: 1-Mar-2015
      • (2014)Requirements for Implementing Mapping Adaptation SystemsProceedings of the 2014 IEEE 23rd International WETICE Conference10.1109/WETICE.2014.58(405-410)Online publication date: 23-Jun-2014
      • (2014)Identifying relevant concept attributes to support mapping maintenance under ontology evolutionWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2014.05.00229:C(53-66)Online publication date: 1-Dec-2014
      • (2014)Understanding semantic mapping evolution by observing changes in biomedical ontologiesJournal of Biomedical Informatics10.1016/j.jbi.2013.09.00647(71-82)Online publication date: Feb-2014
      • (2014)Identifying Change Patterns of Concept Attributes in Ontology EvolutionThe Semantic Web: Trends and Challenges10.1007/978-3-319-07443-6_51(768-783)Online publication date: 2014
      • Show More Cited By

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Figures

      Tables

      Media

      Share

      Share

      Share this Publication link

      Share on social media