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Recent Advances in Computer Science and Communications

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ISSN (Print): 2666-2558
ISSN (Online): 2666-2566

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Research Article

Large Scale Ontology Matching System (LSMatch)

Author(s): Abhisek Sharma*, Sarika Jain and Archana Patel

Volume 17, Issue 2, 2024

Published on: 22 August, 2023

Article ID: e060623217710 Pages: 11

DOI: 10.2174/2666255816666230606140526

Price: $65

Abstract

Background: Ontology matching provides a solution to the semantic heterogeneity problem by finding semantic relationships between entities of ontologies. Over the last two decades, there has been considerable development and improvement in the ontology matching paradigm. More than 50 ontology matching systems have been developed, and some of them are performing really well. However, the initial rate of improvement was measurably high, which now is slowing down. However, there still is room for improvement, which we as a community can work towards to achieve.

Method: In this light, we have developed a Large Scale Ontology Matching System (LSMatch), which uses different matchers to find similarities between concepts of two ontologies. LSMatch mainly uses two modules for matching. These modules perform string similarity and synonyms matching on the concepts of the ontologies.

Results: For the evaluation of LSMatch, we have tested it in Ontology Alignment Evaluation Initiative (OAEI) 2021. The performance results show that LSMatch can perform matching operations on large ontologies. LSMatch was evaluated on anatomy, disease and phenotype, conference, Knowledge graph, and Common Knowledge Graphs (KG) track. In all of these tracks, LSMatch’s performance was at par with other systems.

Conclusion: Being LSMatch’s first participation, the system showed potential and has room for improvement.

Graphical Abstract

[1]
A. Patel, and S. Jain, "A partition based framework for large scale ontology matching", Recent Pat. Eng., vol. 14, no. 3, pp. 488-501, 2021.
[http://dx.doi.org/10.2174/1872212113666190211141415]
[2]
A. Patel, and S. Jain, "A novel approach to discover ontology alignment", Recent Adv. Comput. Sci. Commun., vol. 14, no. 1, pp. 273-281, 2021.
[http://dx.doi.org/10.2174/2666255813666191204143256]
[3]
D. Faria, C. Pesquita, E. Santos, M. Palmonari, I.F. Cruz, and F.M. Couto, "The agreementmakerlight ontology matching system", Recent Adv. Comput. Sci. Commun.,, vol. 14, 20132021no. 1, pp. 273-281, .
[http://dx.doi.org/10.1007/978-3-642-41030-7_38]
[4]
I.F. Cruz, F.P. Antonelli, and C. Stroe, "AgreementMaker: Efficient matching for large real-world schemas and ontologies", VLDB Endowment, vol. 2, no. 2, pp. 1586-1589, 2009.
[http://dx.doi.org/10.14778/1687553.1687598]
[5]
E. Jim’enez-Ruiz, and B.C. Grau, "Logmap: Logic-based and scalable ontology matching", International Semantic Web Conference, pp. 273-288, 2011.
[6]
J. Chakraborty, S.K. Bansal, L. Virgili, K. Konar, and B. Yaman, Ontoconnect: Unsupervised ontology alignment with recursive neural network., Associat Comput Machine, 2021, pp. 1874-1882.
[http://dx.doi.org/10.1145/3412841.3442059]
[7]
J. Portisch, M. Hladik, and H. Paulheim, Wiktionary matcher., 2021. Available From https://madoc.bib.uni-mannheim.de/53426/1/oaei19_paper15.pdf
[8]
P. Wang, and B. Xu, "Lily: Ontology alignment results for oaei 2008", In Proceedings of the Third International Workshop on Ontology Matching, 2008, pp. 167-175
[9]
J. Portisch, M. Hladik, and H. Paulheim, ALOD2Vec Matcher results for OAEI 2020., Universitätsbibliothek Mannheim: Germany, 2020, pp. 147-153.
[10]
S. Hertling, and H. Paulheim, ATBox results for OAEI 2020., Universitätsbibliothek Mannheim: Germany, 2021, pp. 168-175.
[11]
M. Monych, J. Portisch, M. Hladik, and H. Paulheim, DESKMatcher., vol. Vol. 2788. Universitätsbibliothek Mannheim: Germany, 2021, p. 181186.
[12]
J. Da Silva, K. Revoredo, F. Baião, and J. Euzenat, "A lin: Improving interactive ontology matching by interactively revising mapping suggestions", Knowl. Eng. Rev., vol. 35, p. e1, 2020.
[http://dx.doi.org/10.1017/S0269888919000249]
[13]
L. Zhou, and P. Hitzler, AROA results for OAEI 2020., 2020. Available Fromhttps://daselab.cs.ksu.edu/publications/aroaresults-oaei-2020
[14]
E. Thi’eblin, O. Haemmerl’e, and C. Trojahn, CANARD complex matching system: Results of the 2018 OAEI evaluation campaign International conference proceedings, vol. 2288, 2018.
[15]
A. Lütke, AnyGraphMatcher submission to the OAEI knowledge graph challenge., 2022. Available From https://ceurws.org/Vol-2536/oaei19_paper1.pdf
[16]
S. Hertling, and H. Paulheim, "DOME Results for OAEI 2019", In OM 2019 :Proceedings of the 14th International Workshop on Ontology Matching co-located with the 18th International Semantic Web Conference (ISWC 2019), vol. vol. 2536, pp. 123-130
[17]
J.M. Destro, J.A. Vargas, J.C. dos Reis, and R.D.S. Torres, "EVOCROS: Results for OAEI 2019", CEUR Workshop Proceedings, vol. 2536, pp. 131-137, 2019.
[18]
F. Chang, G. Chen, and S. Zhang, FCAMap-KG results for OAEI 2019. Available From: http://www.dit.unitn.it/~pavel/om 2019/papers/oaei19_paper8.pdf
[19]
M. Zhao, and S. Zhang, FCA-Map results for OAEI 2016. Available From: www.dit.unitn.it/~pavel/om2019/papers/oaei19_ paper8.pdf
[20]
V. Iyer, A. Agarwal, and H. Kumar, "VeeAlign: A supervised deep learning approach to ontology alignment", Proceedings of the 15th International Workshop on Ontology Matching, vol. 2788, pp. 216-224, 2020.
[21]
"FTRLIM Results for OAEI 2019", Available From:, https://ceurws.org/Vol-2536/oaei19_paper9.pdf
[22]
S. Gherbi, and M.T. Khadir, "ONTMAT1: Ontology matching using a reasoner and property restriction", Int. J. Web Eng. Technol., vol. 15, no. 2, pp. 119-139, 2020.
[http://dx.doi.org/10.1504/IJWET.2020.109728]
[23]
A. Laadhar, F. Ghozzi, I.M. Bousarsar, F. Ravat, O. Teste, and F. Gargouri, "POMap: An Effective Pairwise Ontology Matching System", In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017, pp. 161-168
[24]
M. Mohammadi, A.A. Atashin, W. Hofman, and Y.H. Tan, "SANOM results for OAEI 2019", arXiv:2006.05219, 2020.,
[25]
P. Roussille, I. Megdiche Bousarsar, O. Teste, and C. Trojahn dos Santos, "Holontology: Results of the 2018 OAEI evaluation campaign", 13th International Workshop on Ontology Matching colocated with the 17th International Semantic Web Conference (OM@ISWC 2018).,, 2018.
[26]
M. Kachroudi, G. Diallo, and S.B. Yahia, "KEPLER at OAEI 2018", CEUR Workshop Proceedings.,, vol. vol. 2288, pp. 173-178, 2018. [Aachen, Germany]
[27]
W.E. Djeddi, and M.T. Khadir, "XMAP: A novel structural approach for alignment of OWL-full ontologies", In International Conference on Machine and Web Intelligence, 2010, pp. 368-373
[http://dx.doi.org/10.1109/ICMWI.2010.5648054]
[28]
A. Annane, Z. Bellahsene, F. Azouaou, and C. Jonquet, "Yambio–results for oaei 2017", CEUR Workshop Proc., vol. 2032, pp. 1-6, 2017. [Aachen, Germany
[29]
M. Achichi, Z. Bellahsene, and K. Todorov, "Legato:Results for oaei 2017", CEUR Workshop Proc., vol. 2032, pp. 1-7, 2017. [Aachen, Germany
[30]
A. Khiat, and M. Mackeprang, "I-Match and OntoIdea results for OAEI 2017", CEUR Workshop Proc., vol. 2032, pp. 1-3, 2017. [Aachen, Germany
[31]
A.N. Tigrine, Z. Bellahsene, and K. Todorov, " "Lightweight crosslingual ontology matching with LYAM++", OTM Confederated International Conferences” On the Move to Meaningful Internet Systems”, vol. 9415, 2015pp. 527-544 Cham",
[32]
N. Kheder, and G. Diallo, "ServOMBI at OAEI 2015", CEUR Workshop Proc., vol. 1545, pp. 1-8, 2015. [Aachen, Germany
[33]
M. El Abdi, H. Souid, M. Kachroudi, and S.B. Yahia, "CLONA results for OAEI 2015", CEUR Workshop Proc., vol. 1545, pp. 1-6, 2015. [Aachen, Germany
[34]
A. Khiat, and M. Benaissa, InsMT+ results for OAEI 2015 instance matching, OM, vol. 2015, pp. 158-161, 2015.
[35]
A. Khiat, and M. Benaissa, "InsMT/InsMTL results for OAEI 2014 instance matching", CEUR Workshop Proc., vol. 1317, pp. 120-125, 2014. [Aachen, Germany
[36]
M. Cheatham, and P. Hitzler, "stringsauto and MapSSS Results for OAEI 2013", CEUR Workshop Proc., vol. 1111, pp. 146-152, 2013.
[37]
M.B. Amin, R. Batool, W.A. Khan, S. Lee, and E.N. Huh, "SPHeRe", J. Supercomput., vol. 68, no. 1, pp. 274-301, 2014.
[http://dx.doi.org/10.1007/s11227-013-1037-1]
[38]
K. Nguyen, and R. Ichise, "SLINT+ results for OAEI 2013 instance matching", In OM’13: Proceedings of the 8th International Conference on Ontology Matching, vol. vol. 1111, 2013, pp. 177-183
[39]
P.L. Whetzel, N.F. Noy, N.H. Shah, P.R. Alexander, C. Nyulas, T. Tudorache, and M.A. Musen, BioPortal: Enhanced functionality via new Web services from the national center for biomedical ontology to access and use ontologies in software applications, 2011.
[http://dx.doi.org/10.1093/nar/gkr469] [PMID: 21672956]
[40]
G.A. Miller, "WordNet", Commun. ACM, vol. 38, no. 11, pp. 39-41, 1995.
[http://dx.doi.org/10.1145/219717.219748]
[41]
R. Navigli, and S.P. Ponzetto, "BabelNet:Building a very large multilingual semantic network", In Proceedings of the 48th annual meeting of the association for computational linguistics Uppsala, Sweden, 2010, pp. 216-225
[42]
S. Auer, C. Bizer, G. Kobilarov, J. Lehmann, R. Cyganiak, and Z. Ives, "Dbpedia: A nucleus for a web of open data", In International Semantic Web Conference Berlin, Heidelberg, 2007, pp. 722-735
[http://dx.doi.org/10.1007/978-3-540-76298-0_52]
[43]
S. Zhang, Y. Hu, and G. Bian, "Research on string similarity algorithm based on Levenshtein Distance", In Electronic and Automation Control Conference (IAEAC), 2017, pp. 2247-2251
[http://dx.doi.org/10.1109/IAEAC.2017.8054419]
[44]
S. Hertling, J. Portisch, and H. Paulheim, "Melt-matching evaluation toolkit International conference on semantic systems, 20192019pp. 231-245 Cham",
[45]
A. Sharma, A. Patel, and S. Jain, "LSMatch Results for OAEI 2021", CEUR Workshop Proc., vol. 3063, pp. 1-7, 2021. [Aachen, Germany
[46]
A. Sharma, A. Patel, and S. Jain, "LSMatch and LSMatch-Multilingual Results for OAEI", CEUR Workshop Proceedings., pp. 1-6, 2022.
[47]
F.M. Suchanek, G. Kasneci, and G. Weikum, "Yago: A large ontology from wikipedia and wordnet", J. Web Semant., vol. 6, no. 3, pp. 203-217, 2008.
[http://dx.doi.org/10.1016/j.websem.2008.06.001]
[48]
T. Mitchell, and E. Fredkin, "Never-ending language learning 2014 IEEE International Conference on Big Data (Big Data), vol. 2014, 2014 Washington, DC, USA",
[http://dx.doi.org/10.1109/BigData.2014.7004203]
[49]
A. Hofmann, S. Perchani, J. Portisch, S. Hertling, and H. Paulheim, "DBkWik: Towards knowledge graph creation from thousands of wikis", In International Semantic Web Conference (Posters,Demos & Industry Tracks)., vol. 1963, 2017pp. 1-4 Aachen, Germany
[50]
I. Harrow, E. Jiménez-Ruiz, A. Splendiani, M. Romacker, P. Woollard, S. Markel, Y. Alam-Faruque, M. Koch, J. Malone, and A. Waaler, "Matching disease and phenotype ontologies in the ontology alignment evaluation initiative", J. Biomed. Semantics, vol. 8, no. 1, p. 55, 2017.
[http://dx.doi.org/10.1186/s13326-017-0162-9] [PMID: 29197409]

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