[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/3151759.3151837acmotherconferencesArticle/Chapter ViewAbstractPublication PagesiiwasConference Proceedingsconference-collections
short-paper

A rule-based DSS for transforming automatically-generated alignments into information integration alignments

Published: 04 December 2017 Publication History

Abstract

Analysis of automatically-generated alignments shows that ambiguous situations are quite common, preventing their application in scenarios demanding high quality and completeness, such ontology mediation (e.g. data transformation and information/knowledge integration). Even the best-performing alignment needs to be manually corrected, completed and verified before application. In this paper, we propose a decision support system (DSS) based in a general-purpose rule engine that assists the expert on improving and completing the automatically-generated alignments into fully-fledged alignments, balancing the precision and recall of the system with the user participation in the process. For that, the rules capture the preconditions (existing facts) and the actions to solve each (ambiguous) alignment scenario, in which the expert decision will be adopted in further automatic decisions. The evaluation of the proposed DSS shows the gain in reducing the need for expert's decisions while increasing the accuracy of the alignments.

References

[1]
Dieter Fensel, 2001. Ontologies: Silver Bullet for Knowledge Management and Electronic Commerce. Heidelberg, Germany: Springer-Verlag.
[2]
Jérôme Euzenat and Pavel Shvaiko, 2007. Ontology matching, 1st ed., vol. 1. Heidelberg, Germany: Springer-Verlag.
[3]
Lorena Otero-Cerdeira, Francisco J. Rodríguez-Martínez and Alma Gómez-Rodríguez, 2015. "Ontology matching: A literature review," Expert Systems with Applications, vol. 42, no. 2, pp. 949--971.
[4]
Pavel Shvaiko and Jérôme Euzenat, 2013. "Ontology matching: State of the art and future challenges," IEEE Trans. Know. Data Eng., vol.25, no. 1, pp. 158--176.
[5]
Steffen Staab and Rudi Studer, 2009. Handbook on ontologies, 2nd ed., Springer.
[6]
Jos de Bruijn et al., 2006. "Ontology mediation, merging, and aligning," in Semantic Web Technologies.
[7]
Booma S. Balasubramani, Aynaz Taheri and Isabel F. Cruz, 2015. "User involvement in ontology matching using an online active learning approach," in 10th International Workshop on Ontology Matching, pp. 45--49.
[8]
Patrick Lambrix and Rajaram Kaliyaperumal, 2017. "A session-based ontology alignment approach enabling user involvement," Semantic Web Journal, vol. 8. no. 2, pp. 225--251.
[9]
Songyun Duan, Achille Fokoue and Kavitha Srinivas, 2010. "One size does not fit all: Customizing ontology alignment using user feedback," ISWC, pp. 177--192.
[10]
Vladimir Lifschitz, 1991. "Nonmonotonic databases and epistemic queries," in 12th International Joint Conference on Artificial Intelligence, vol. 1, pp. 381--386.
[11]
Boris Motik and Riccardo Rosati, 2010. "Reconciling description logics and rules," Journal of the ACM, vol. 57, no. 5, pp. 1--62.
[12]
Michelle Cheatham and Pascal Hitzler, 2014. "The properties of property alignment," in 9th Int. Workshop on Ontology Matching, vol. 1317, pp. 13--24.
[13]
Manel Achichi et al., 2016. "Results of the Ontology Alignment Evaluation Initiative 2016," in 11th ISWC workshop on ontology matching (OM), pp. 73--129.
[14]
Daniel Faria et al., 2016. "OAEI 2016 Results of AML," Ontology Matching.

Cited By

View all
  • (2019)DSS-Based Ontology Alignment in Solid Reference System ConfigurationIntelligent Decision Support Systems—A Journey to Smarter Healthcare10.1007/978-3-030-14347-3_52(530-539)Online publication date: 21-Mar-2019
  • (2018)DSL-Based Configuration of Solid Referential Management System: A Case Study2018 International Conference on Computational Science and Computational Intelligence (CSCI)10.1109/CSCI46756.2018.00176(890-894)Online publication date: Dec-2018

Index Terms

  1. A rule-based DSS for transforming automatically-generated alignments into information integration alignments

        Recommendations

        Comments

        Please enable JavaScript to view thecomments powered by Disqus.

        Information & Contributors

        Information

        Published In

        cover image ACM Other conferences
        iiWAS '17: Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services
        December 2017
        609 pages
        ISBN:9781450352994
        DOI:10.1145/3151759
        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 the author(s) 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].

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 04 December 2017

        Permissions

        Request permissions for this article.

        Check for updates

        Author Tags

        1. information integration alignment
        2. ontology alignment
        3. rule-based system

        Qualifiers

        • Short-paper

        Funding Sources

        • FEDER

        Conference

        iiWAS2017

        Contributors

        Other Metrics

        Bibliometrics & Citations

        Bibliometrics

        Article Metrics

        • Downloads (Last 12 months)1
        • Downloads (Last 6 weeks)1
        Reflects downloads up to 22 Dec 2024

        Other Metrics

        Citations

        Cited By

        View all
        • (2019)DSS-Based Ontology Alignment in Solid Reference System ConfigurationIntelligent Decision Support Systems—A Journey to Smarter Healthcare10.1007/978-3-030-14347-3_52(530-539)Online publication date: 21-Mar-2019
        • (2018)DSL-Based Configuration of Solid Referential Management System: A Case Study2018 International Conference on Computational Science and Computational Intelligence (CSCI)10.1109/CSCI46756.2018.00176(890-894)Online publication date: Dec-2018

        View Options

        Login options

        View options

        PDF

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader

        Media

        Figures

        Other

        Tables

        Share

        Share

        Share this Publication link

        Share on social media