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Discovering Semantic Links Between Synonyms, Hyponyms and Hypernyms

Authors: Ricardo Avila, Gabriel Lopes, Vania Vidal, Jose Macedo


This proposal aims for semantic enrichment between glossaries using the Simple Knowledge Organization System (SKOS) vocabulary to discover synonyms, hyponyms and hyperonyms semiautomatically, in Brazilian Portuguese, generating new semantic relationships based on WordNet. To evaluate the quality of this proposed model, experiments were performed by the use of two sets containing new relations, being one generated automatically and the other manually mapped by the domain expert. The applied evaluation metrics were precision, recall, f-score, and confidence interval. The results obtained demonstrate that the applied method in the field of Oil Production and Extraction (E&P) is effective, which suggests that it can be used to improve the quality of terminological mappings. The procedure, although adding complexity in its elaboration, can be reproduced in others domains.

Keywords: Ontology matching, mapping enrichment, semantic web, linked data, SKOS.

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[1] David Aumueller, Hong-Hai Do, Sabine Massmann, and Erhard Rahm. 2005. Schema and ontology matching with COMA++. InProc. ACM SIGMOD.
[2] Jiaqing Liang, Yi Zhang, Yanghua Xiao, Haixun Wang, Wei Wang, and PinpinZhu. 2017. On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies. In AAAI. AAAI Press, 1185–1191.
[3] George A. Miller. 1995. WordNet: a Lexical Database for English.Commun. ACM38, 11 (1995), 39–41.
[4] Akarajit Tanjana and Jian Qu.
[n. d.]. Enabling Fuzzy Logic to Enhance Auto-matic Schema Matching. In Science & Technology Asia, Vol. 22. 93–111.
[5] Christian Bizer, Richard Cyganiak, and Tobias Gauss. 2007. The RDF BookMashup: From Web APIs to a Web of Data. In3rd Workshop on Scripting forthe Semantic Web.
[6] J. M. Bland and D. G. Altman. 1996. Transformations, means, and confidenceintervals. BMJ312, 7038 (April 1996), 1079.
[7] D. Lenat and R. V. Guha. 1990. Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project. Addison-Wesley.
[8] William W. Cohen, Pradeep Ravikumar, and Stephen E. Fienberg. 2003. A Com-parison of String Distance Metrics for Name-Matching Tasks. In Proceedings of the IJCAI-2003 Workshop on. Acapulco, Mexico, 73–78.
[9] Mathieu d’Aquin, Gabriel Kronberger, and Mari Carmen Su´arez-Figueroa. 2012. Combining Data Mining and Ontology Engineering to Enrich Ontologies and Linked Data. InKNOW@LOD, Vol. 868., 19–24.
[10] Tom Heath and Christian Bizer. 2011. Linked Data: Evolving the Web into a Global Data Space (1st ed.). Morgan Claypool.
[11] Maria Koutraki, Nicoleta Preda, and Dan Vodislav. 2016. SOFYA: Semanticon-the-fly Relation Alignment. In EDBT., 690–691.
[12] M. Lesk. 1986. Automatic sense disambiguation using machine readabledictionaries: how to tell a pine cone from an ice cream cone. In Proceedings of ACM SIGDOC Conference. Toronto, Ontario, 24–26.
[13] V. Levenshtein. 1966. Binary Codes Capable of Correcting Deletions, Insertions, and Reversals. Soviet Physics-Doklady10, 8 (1966), 707–710.
[14] Juan Antonio Lossio-Ventura, Mathieu Roche, Cl´ement Jonquet, and Maguelonne Teisseire. 2016. A Way to Automatically Enrich Biomedical Ontologies. In EDBT,, 676–677.
[15] Alistair Miles, Brian Matthews, Michael Wilson, and Dan Brickley. 2005. SKOScore: Simple Knowledge Organisation for the Web. In Proc. of the 2005 international conference on DC and metadata applications. Madrid, Spanien, 1–9.
[16] Markus Nentwig, Michael Hartung, Axel-Cyrille Ngonga Ngomo, and Erhard Rahm. 2015. A survey of current Link Discovery frameworks. Semantic WebPreprint (2015), 1–18.
[17] Jacco van Ossenbruggen, Michiel Hildebrand, and Viktor de Boer. 2011. Interactive Vocabulary Alignment. InTPDL (Lecture Notes in Computer Science), Vol. 6966. Springer, 296–307.
[18] Ziqi Zhang, Anna Lisa Gentile, Eva Blomqvist, Isabelle Augenstein, and FabioCiravegna. 2013. Statistical Knowledge Patterns: Identifying Synonymous Re-lations in Large Linked Datasets. In International Semantic Web Conference(1), Vol. 8218. Springer, 703–719.
[19] Ricardo A´ vila, Saloma˜o Santos, David Arau´jo, Vaˆnia Maria Ponte Vidal, and Jos´e Antˆonio Fernandes de Macˆedo. 2017. Semantic Links Using SKOS Predicates. In KES (Procedia Computer Science), Vol. 112. Elsevier, 467–473.