=Paper=
{{Paper
|id=Vol-3324/oaei22_paper9
|storemode=property
|title=LogMap family participation in the OAEI 2022
|pdfUrl=https://ceur-ws.org/Vol-3324/oaei22_paper9.pdf
|volume=Vol-3324
|authors=Ernesto Jiménez-Ruiz
|dblpUrl=https://dblp.org/rec/conf/semweb/Jimenez-Ruiz22
}}
==LogMap family participation in the OAEI 2022==
https://ceur-ws.org/Vol-3324/oaei22_paper9.pdf
LogMap Family Participation in the OAEI 2022
Ernesto Jiménez-Ruiz
1
Department of Computer Science, City, University of London, UK
2
Department of Informatics, University of Oslo, Oslo, Norway
Abstract
We present the participation of LogMap and its variants in the OAEI 2022 campaign. The LogMap project
started in January 2011 with the objective of developing a scalable and logic-based ontology matching
system. This is the eleventh participation in the OAEI and the experience has so far been very positive.
1. Presentation of the system
LogMap [1, 2] is a highly scalable ontology matching system that implements the consistency
and locality principles [3]. LogMap is one of the few ontology matching system that (i) can
efficiently match semantically rich ontologies containing tens (and even hundreds) of thousands
of classes, (ii) incorporates sophisticated reasoning and repair techniques to minimise the
number of logical inconsistencies, and (iii) provides support for user intervention during the
matching process. LogMap ISWC 2011 paper [1] has recently been awarded the SWSA Ten-Year
Award.1
1.1. LogMap variants in the 2022 campaign
As in previous campaigns, in the OAEI 2022 we have participated with two additional variants:
LogMapLt is a “lightweight” variant of LogMap, which essentially only applies (efficient)
string matching techniques.
LogMapBio includes an extension to use BioPortal [4, 5] as a (dynamic) provider of mediating
ontologies instead of relying on a few preselected ontologies [6].
In previous years we also participated with LogMapC2 .
OM-2022: 17th International Workshop on Ontology Matching, October 2022, Hangzhou, China (Virtual)
Envelope-Open ernesto.jimenez-ruiz@city.ac.uk (E. Jiménez-Ruiz)
GLOBE https://www.city.ac.uk/about/people/academics/ernesto-jimenez-ruiz (E. Jiménez-Ruiz)
Orcid 0000-0002-9083-4599 (E. Jiménez-Ruiz)
© 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
CEUR
CEUR Workshop Proceedings (CEUR-WS.org)
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Proceedings
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ISSN 1613-0073
1
http://swsa.semanticweb.org/content/swsa-ten-year-award
2
LogMapC (https://github.com/asolimando/logmap-conservativity/) is a variant of LogMap which, in addition to the
consistency and locality principles, also implements the conservativity principle (see details in [7]).
1.2. Link to the system and parameters file
LogMap is open-source and released under the Apache-2.0 License.3 LogMap compo-
nents and source code are available from the LogMap’s GitHub page: https://github.com/
ernestojimenezruiz/logmap-matcher/.
LogMap distributions can be easily customized through a configuration file containing the
matching parameters.
LogMap, including support for interactive ontology matching, can also be used directly
through an AJAX-based Web interface: http://krrwebtools.cs.ox.ac.uk/. This interface has been
very well received by the community since it was deployed in 2012. More than 5,750 requests
coming from a broad range of users have been processed so far.
We have recently developed a new interface for LogMap to enable the access to its matching
capabilities as a service [8].4
1.3. LogMap as a mapping repair system
Only a very few systems participating in the OAEI competition implement repair techniques.
As a result, existing matching systems (even those that typically achieve very high precision
scores) compute mappings that lead in many cases to a large number of unsatisfiable classes.
We believe that these systems could significantly improve their output if they were to
implement repair techniques similar to those available in LogMap. Therefore, with the goal of
providing a useful service to the community, we have made LogMap’s ontology repair module
(LogMap-Repair) available as a self-contained software component that can be seamlessly
integrated in most existing ontology matching systems [9, 10].
1.4. LogMap as a matching task division system
LogMap also includes a novel module to divide the ontology alignment task into (independent)
manageable subtasks [11]. This component relies on LogMap’s lexical index, a neural embedding
model [12] and locality-based modules [13]. This module can be integrated within existing
ontology alignment systems as a external module to support them complete large-scale matching
tasks.
1.5. Results
Please refer to http://oaei.ontologymatching.org/2022/results/ for the results of the LogMap
family in the OAEI 2022 campaign.
Acknowledgments
I would also like to thank Bernardo Cuenca-Grau, Ian Horrocks, Alessandro Solimando, Jiaoyan
Chen, Valerie Cross, Anton Morant, Yujiao Zhou, Weiguo Xia, Xi Chen, Yuan Gong, Shuo Zhang
and Rob Upson, who have contributed to the LogMap project in the past.
3
http://www.apache.org/licenses/
4
https://github.com/rupson/knowledge-graph-alignment-as-a-service
References
[1] E. Jiménez-Ruiz, B. Cuenca Grau, LogMap: Logic-based and Scalable Ontology Matching,
in: Int’l Sem. Web Conf. (ISWC), 2011, pp. 273–288.
[2] E. Jiménez-Ruiz, B. Cuenca Grau, Y. Zhou, I. Horrocks, Large-scale interactive ontology
matching: Algorithms and implementation, in: Europ. Conf. on Artif. Intell. (ECAI), 2012.
[3] E. Jiménez-Ruiz, B. Cuenca Grau, I. Horrocks, R. Berlanga, Logic-based assessment of the
compatibility of UMLS ontology sources, J. Biomed. Sem. 2 (2011).
[4] N. Fridman Noy, N. H. Shah, P. L. Whetzel, B. Dai, et al., BioPortal: ontologies and integrated
data resources at the click of a mouse, Nucleic Acids Research 37 (2009) 170–173.
[5] A. Ghazvinian, N. F. Noy, C. Jonquet, N. H. Shah, M. A. Musen, What four million mappings
can tell you about two hundred ontologies, in: Int’l Sem. Web Conf. (ISWC), 2009.
[6] X. Chen, W. Xia, E. Jiménez-Ruiz, V. Cross, Extending an ontology alignment system with
bioportal: a preliminary analysis, in: Poster at Int’l Sem. Web Conf. (ISWC), 2014.
[7] A. Solimando, E. Jiménez-Ruiz, G. Guerrini, Minimizing conservativity violations in
ontology alignments: Algorithms and evaluation, Knowledge and Information Systems
(2016).
[8] R. Upson, E. Jiménez-Ruiz, Knowledge Graph Alignmnet as a Service, in: ISWC Posters &
Demos, 2022.
[9] E. Jiménez-Ruiz, C. Meilicke, B. Cuenca Grau, I. Horrocks, Evaluating mapping repair
systems with large biomedical ontologies, in: 26th Description Logics Workshop, 2013.
[10] D. Faria, E. Jiménez-Ruiz, C. Pesquita, E. Santos, F. M. Couto, Towards annotating potential
incoherences in bioportal mappings, in: 13th Int’l Sem. Web Conf. (ISWC), 2014. doi:1 0 .
1007/978- 3- 319- 11915- 1_2.
[11] E. Jiménez-Ruiz, A. Agibetov, J. Chen, M. Samwald, V. Cross, Dividing the Ontology
Alignment Task with Semantic Embeddings and Logic-Based Modules, in: 24th European
Conference on Artificial Intelligence (ECAI), 2020, pp. 784–791.
[12] L. Wu, A. Fisch, S. Chopra, K. Adams, A. Bordes, J. Weston, Starspace: Embed all the
things!, arXiv preprint arXiv:1709.03856 (2017).
[13] B. Cuenca Grau, I. Horrocks, Y. Kazakov, U. Sattler, Modular reuse of ontologies: Theory
and practice, J. Artif. Intell. Res. 31 (2008) 273–318.