Matching Terminological Heterogeneous Ontologies by Exploiting Partial Alignments

Frederik Christiaan Schadd, Nico Roos

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

Abstract

Matching ontologies which utilize significantly heterogeneous terminologies is a challenging task for existing matching techniques. These techniques typically exploit lexical resources in order to enrich the ontologies with additional terminology such that more terminological matches can be found. However, they are limited by the availability of an appropriate lexical resource for each matching task. For this scenario, we propose a new technique exploiting partial alignments. We evaluate our technique on a dataset which is characterized by matching problems with significant terminological heterogeneities. Further, we compare our technique with the performance of matching systems utilizing lexical resources to establish whether a partial-alignment-based matcher can perform similarly to a lexical-based matcher. Lastly, we provide a performance indication of a system utilizing both partial alignments and lexical resources.
Original languageEnglish
Title of host publicationSEMAPRO 2015, The Ninth International Conference on Advances in Semantic Processing
Pages13-18
Number of pages6
Publication statusPublished - 19 Jul 2015

Publication series

SeriesSEMAPRO 2015, The Ninth International Conference on Advances in Semantic Processing

Keywords

  • Ontologies
  • Ontology Alignment
  • Partial Alignments
  • Semantic Interoperability

Cite this

Schadd, F. C., & Roos, N. (2015). Matching Terminological Heterogeneous Ontologies by Exploiting Partial Alignments. In SEMAPRO 2015, The Ninth International Conference on Advances in Semantic Processing (pp. 13-18). SEMAPRO 2015, The Ninth International Conference on Advances in Semantic Processing
Schadd, Frederik Christiaan ; Roos, Nico. / Matching Terminological Heterogeneous Ontologies by Exploiting Partial Alignments. SEMAPRO 2015, The Ninth International Conference on Advances in Semantic Processing. 2015. pp. 13-18 (SEMAPRO 2015, The Ninth International Conference on Advances in Semantic Processing).
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abstract = "Matching ontologies which utilize significantly heterogeneous terminologies is a challenging task for existing matching techniques. These techniques typically exploit lexical resources in order to enrich the ontologies with additional terminology such that more terminological matches can be found. However, they are limited by the availability of an appropriate lexical resource for each matching task. For this scenario, we propose a new technique exploiting partial alignments. We evaluate our technique on a dataset which is characterized by matching problems with significant terminological heterogeneities. Further, we compare our technique with the performance of matching systems utilizing lexical resources to establish whether a partial-alignment-based matcher can perform similarly to a lexical-based matcher. Lastly, we provide a performance indication of a system utilizing both partial alignments and lexical resources.",
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Schadd, FC & Roos, N 2015, Matching Terminological Heterogeneous Ontologies by Exploiting Partial Alignments. in SEMAPRO 2015, The Ninth International Conference on Advances in Semantic Processing. SEMAPRO 2015, The Ninth International Conference on Advances in Semantic Processing, pp. 13-18.

Matching Terminological Heterogeneous Ontologies by Exploiting Partial Alignments. / Schadd, Frederik Christiaan; Roos, Nico.

SEMAPRO 2015, The Ninth International Conference on Advances in Semantic Processing. 2015. p. 13-18 (SEMAPRO 2015, The Ninth International Conference on Advances in Semantic Processing).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

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N2 - Matching ontologies which utilize significantly heterogeneous terminologies is a challenging task for existing matching techniques. These techniques typically exploit lexical resources in order to enrich the ontologies with additional terminology such that more terminological matches can be found. However, they are limited by the availability of an appropriate lexical resource for each matching task. For this scenario, we propose a new technique exploiting partial alignments. We evaluate our technique on a dataset which is characterized by matching problems with significant terminological heterogeneities. Further, we compare our technique with the performance of matching systems utilizing lexical resources to establish whether a partial-alignment-based matcher can perform similarly to a lexical-based matcher. Lastly, we provide a performance indication of a system utilizing both partial alignments and lexical resources.

AB - Matching ontologies which utilize significantly heterogeneous terminologies is a challenging task for existing matching techniques. These techniques typically exploit lexical resources in order to enrich the ontologies with additional terminology such that more terminological matches can be found. However, they are limited by the availability of an appropriate lexical resource for each matching task. For this scenario, we propose a new technique exploiting partial alignments. We evaluate our technique on a dataset which is characterized by matching problems with significant terminological heterogeneities. Further, we compare our technique with the performance of matching systems utilizing lexical resources to establish whether a partial-alignment-based matcher can perform similarly to a lexical-based matcher. Lastly, we provide a performance indication of a system utilizing both partial alignments and lexical resources.

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KW - Semantic Interoperability

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Schadd FC, Roos N. Matching Terminological Heterogeneous Ontologies by Exploiting Partial Alignments. In SEMAPRO 2015, The Ninth International Conference on Advances in Semantic Processing. 2015. p. 13-18. (SEMAPRO 2015, The Ninth International Conference on Advances in Semantic Processing).