Using Domain Lexicon and Grammar for Ontology Matching

Francisco  Quesada Real; Gabor Bella; Fiona Mcneill; Alan Bundy

Using Domain Lexicon and Grammar for Ontology Matching

Francisco Quesada Real, Gabor Bella, Fiona Mcneill, Alan Bundy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

There are multiple ontology matching approaches that use domain-specific background knowledge to match labels in domain ontologies or classifications. However, they tend to rely on lexical knowledge and do not consider the specificities of domain grammar. In this paper, we demonstrate the usefulness of both lexical and grammatical linguistic domain knowledge for ontology matching through examples from multiple domains. We also provide an evaluation of the impact of such knowledge on a real-world problem of matching classifications of mental illnesses from the health domain. Our experimentation with two matcher tools that use very different matching mechanisms - LogMap and SMATCH - shows that both lexical and grammatical knowledge improve matching results.

Original language	English
Title of host publication	Proceedings of the 15th International Workshop on Ontology Matching
Editors	Pavel Shvaiko, Jérôme Euzenat, Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Cássia Trojahn
Publisher	CEUR-WS.org
Pages	1-12
Number of pages	12
Publication status	Published - 3 Nov 2020
Event	The Fifteenth International Workshop on Ontology Matching - A Virtual Conference, Athens, Greece Duration: 2 Nov 2020 → 3 Nov 2020 http://om2020.ontologymatching.org/

Publication series

Name	CEUR Workshop Proceedings
Volume	2788
ISSN (Electronic)	1613-0073

Workshop

Workshop	The Fifteenth International Workshop on Ontology Matching
Abbreviated title	OM-2020
Country/Territory	Greece
City	Athens
Period	2/11/20 → 3/11/20
Internet address	http://om2020.ontologymatching.org/

Keywords / Materials (for Non-textual outputs)

Ontology Matching
Domain-Knowledge
Domain Language
Domain Lexicon
Domain Grammar

Access to Document

Using_Domain_Lexicon_and_Grammar_for_Ontology_Matching-2Accepted author manuscript, 254 KBLicence: Creative Commons: Attribution (CC-BY)
Using Domain Lexicon_REAL_DOA11092020_VOR_CC-BYFinal published version, 410 KBLicence: Creative Commons: Attribution (CC-BY)

http://ceur-ws.org/Vol-2788/om2020_LTpaper1.pdfLicence: Creative Commons: Attribution (CC-BY)

The integration and interaction of multiple mathematical Reasoning Processes
Bundy, A. (Principal Investigator), Aspinall, D. (Co-Investigator (External)), Colton, S. (Co-Investigator (External)), Fleuriot, J. (Co-Investigator (External)), Gow, J. (Co-Investigator (External)), Grov, G. (Co-Investigator (External)), Ireland, A. (Co-Investigator (External)), Jackson, P. (Co-Investigator (External)), Mcneill, F. (Co-Investigator (External)), Michaelson, G. (Co-Investigator (External)) & Smaill, A. (Co-Investigator (External))
EPSRC
1/11/15 → 31/10/19
Project: Research

Cite this

Quesada Real, F., Bella, G., Mcneill, F., & Bundy, A. (2020). Using Domain Lexicon and Grammar for Ontology Matching. In P. Shvaiko, J. Euzenat, E. Jiménez-Ruiz, O. Hassanzadeh, & C. Trojahn (Eds.), Proceedings of the 15th International Workshop on Ontology Matching (pp. 1-12). (CEUR Workshop Proceedings; Vol. 2788). CEUR-WS.org. http://ceur-ws.org/Vol-2788/om2020_LTpaper1.pdf

@inproceedings{51fba07e97fb432e9f372bd088cd9e69,

title = "Using Domain Lexicon and Grammar for Ontology Matching",

abstract = "There are multiple ontology matching approaches that use domain-specific background knowledge to match labels in domain ontologies or classifications. However, they tend to rely on lexical knowledge and do not consider the specificities of domain grammar. In this paper, we demonstrate the usefulness of both lexical and grammatical linguistic domain knowledge for ontology matching through examples from multiple domains. We also provide an evaluation of the impact of such knowledge on a real-world problem of matching classifications of mental illnesses from the health domain. Our experimentation with two matcher tools that use very different matching mechanisms - LogMap and SMATCH - shows that both lexical and grammatical knowledge improve matching results.",

keywords = "Ontology Matching, Domain-Knowledge, Domain Language, Domain Lexicon, Domain Grammar",

author = "{Quesada Real}, Francisco and Gabor Bella and Fiona Mcneill and Alan Bundy",

year = "2020",

month = nov,

day = "3",

language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS.org",

pages = "1--12",

editor = "Pavel Shvaiko and J{\'e}r{\^o}me Euzenat and Ernesto Jim{\'e}nez-Ruiz and Oktie Hassanzadeh and C{\'a}ssia Trojahn",

booktitle = "Proceedings of the 15th International Workshop on Ontology Matching",

note = "The Fifteenth International Workshop on Ontology Matching, OM-2020 ; Conference date: 02-11-2020 Through 03-11-2020",

url = "http://om2020.ontologymatching.org/",

}

Quesada Real, F, Bella, G, Mcneill, F & Bundy, A 2020, Using Domain Lexicon and Grammar for Ontology Matching. in P Shvaiko, J Euzenat, E Jiménez-Ruiz, O Hassanzadeh & C Trojahn (eds), Proceedings of the 15th International Workshop on Ontology Matching. CEUR Workshop Proceedings, vol. 2788, CEUR-WS.org, pp. 1-12, The Fifteenth International Workshop on Ontology Matching, Athens, Greece, 2/11/20. <http://ceur-ws.org/Vol-2788/om2020_LTpaper1.pdf>

Using Domain Lexicon and Grammar for Ontology Matching. / Quesada Real, Francisco ; Bella, Gabor; Mcneill, Fiona et al.
Proceedings of the 15th International Workshop on Ontology Matching. ed. / Pavel Shvaiko; Jérôme Euzenat; Ernesto Jiménez-Ruiz; Oktie Hassanzadeh; Cássia Trojahn. CEUR-WS.org, 2020. p. 1-12 (CEUR Workshop Proceedings; Vol. 2788).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Using Domain Lexicon and Grammar for Ontology Matching

AU - Quesada Real, Francisco

AU - Bella, Gabor

AU - Mcneill, Fiona

AU - Bundy, Alan

PY - 2020/11/3

Y1 - 2020/11/3

N2 - There are multiple ontology matching approaches that use domain-specific background knowledge to match labels in domain ontologies or classifications. However, they tend to rely on lexical knowledge and do not consider the specificities of domain grammar. In this paper, we demonstrate the usefulness of both lexical and grammatical linguistic domain knowledge for ontology matching through examples from multiple domains. We also provide an evaluation of the impact of such knowledge on a real-world problem of matching classifications of mental illnesses from the health domain. Our experimentation with two matcher tools that use very different matching mechanisms - LogMap and SMATCH - shows that both lexical and grammatical knowledge improve matching results.

AB - There are multiple ontology matching approaches that use domain-specific background knowledge to match labels in domain ontologies or classifications. However, they tend to rely on lexical knowledge and do not consider the specificities of domain grammar. In this paper, we demonstrate the usefulness of both lexical and grammatical linguistic domain knowledge for ontology matching through examples from multiple domains. We also provide an evaluation of the impact of such knowledge on a real-world problem of matching classifications of mental illnesses from the health domain. Our experimentation with two matcher tools that use very different matching mechanisms - LogMap and SMATCH - shows that both lexical and grammatical knowledge improve matching results.

KW - Ontology Matching

KW - Domain-Knowledge

KW - Domain Language

KW - Domain Lexicon

KW - Domain Grammar

M3 - Conference contribution

T3 - CEUR Workshop Proceedings

SP - 1

EP - 12

BT - Proceedings of the 15th International Workshop on Ontology Matching

A2 - Shvaiko, Pavel

A2 - Euzenat, Jérôme

A2 - Jiménez-Ruiz, Ernesto

A2 - Hassanzadeh, Oktie

A2 - Trojahn, Cássia

PB - CEUR-WS.org

T2 - The Fifteenth International Workshop on Ontology Matching

Y2 - 2 November 2020 through 3 November 2020

ER -

Using Domain Lexicon and Grammar for Ontology Matching

Abstract

Publication series

Workshop

Keywords / Materials (for Non-textual outputs)

Access to Document

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Projects

The integration and interaction of multiple mathematical Reasoning Processes

Cite this