Abstract
Multilingual content in ontologies has one of the highest potentials for bridging linguistic borders on the Semantic Web. Human readability and automated linguistic processing of Multilingual Semantic Web resources depend on natural language content represented in labels . As there are currently no standards or best practices for labeling ontologies, existing labels are frequently highly condensed up to the point of losing their domain-specific expressivity. For instance, ellipses often used in labels pose a challenge to linguistic processing. Elided domain-specific elements challenge human users and machines alike. Thus, the proposed method expands condensed labels in four main processing steps by resolving complex natural language phenomena. It heavily relies on a cross-lingual comparison and employs idiosyncratic benefits of one language to process other languages.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
- 3.
- 4.
Developed and issued by Standard & Poor’s and MSCI http://www.msci.com/products/indices/sector/gics/.
- 5.
References
Declerck, T., & Gromann, D. (2012). Towards the generation of semantically enriched multilingual components of ontology labels. In P. Buitelaar, P. Cimiano, D. Lewis, J. Pustejovsky, & F. Sasaki (Eds.), Proceedings of the 3rd International Workshop on the Multilingual Semantic Web (MSW3) (Vol. 936, pp. 11–23). Boston: CEUR.
Declerck, T., & Lendvai, P. (2010). Towards a standardized linguistic annotation of the textual content of labels in knowledge representation system. In N. Calzolari et al. (Eds.), Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10) (pp. 3836–3839). Valletta, Malta: European Language Resources Association (ELRA).
Ell, B., Vrandečić, D., & Simperl, E. (2011). Labels in the web of data. In L. Aroyo et al. (Eds.), The Semantic Web: ISWC 2011 (Vol. 7031, pp. 162–176). Berlin/Heidelberg: Springer.
Federmann, C., Gromann, D., Declerck, T., Hunsicker, S., Krieger, H.-U., & Budin, G. (2012). Multilingual terminology acquisition for ontology-based information extraction. In G. A. de Cea, M. C. Suárez-Figueroa, R. García-Castro, & E. Montiel-Ponsoda (Eds.), Proceedings of the 10th Terminology and Knowledge Engineering Conference (TKE 2012) (pp. 166–175). Madrid: TKE.
Fliedl, G., Kop, C., & Vöhringer, J. (2007). From OWL class and property labels to human understandable natural language. In Z. Kedad, N. Lammari, E. Métais, F. Meziane & Y. Rezgui (Eds.), Natural Language Processing and Information Systems (Vol. 4592, pp. 156–167). Berlin/Heidelberg: Springer.
Fu, B., Brennan, R., & O’Sullivan, D. (2012). A configurable translation-based cross-lingual ontology mapping system to adjust mapping outcome. Web Semantics: Science, Services and Agents on the World Wide Web, 15, 15–36.
Gangemi, A., & Presutti, V. (2009). Ontology design patterns. In S. Staab & R. Studer (Eds.), Handbook on Ontologies (pp. 221–243). Berlin/Heidelberg: Springer.
Garcia, J., Montiel-Ponsoda, E., Cimiano, P., Gómez-Pérez, A., Buitelaar, P., & McCrae, J. (2012). Challenges for the multilingual web of data. Web Semantics: Science, Services and Agents on the World Wide Web, 11, 63–71.
Gherasim, T., Harzallah, M., Berio, G., & Kuntz, P. (2013). Methods and tools for automatic construction of ontologies from textual resources: A framework for comparison and its application. In F. Guillet, B. Pinaud, G. Venturini & D. A. Zighed (Eds.), Advances in Knowledge Discovery and Management (Vol. 471, pp. 177–201). Berlin/Heidelberg: Springer.
Hitzler, P., Krötzsch, M., Parsia, B., Patel-Schneider, P. F., & Rudolph, S. (2012, October). OWL Web Ontology Language Primer (Vol. 27). Recommendation. World Wide Web Consortium (W3C).
Krieger, H.-U., Declerck, T., & Nedunchezhian, A. K. (2012). MFO - The federated financial ontology for the MONNET project. In Proceedings of the 4th International Conference on Knowledge Engineering and Ontology Development (KEOD-2012) (pp. 327–330). Barcelona: SciTePress.
Maynard, D., Funk, A., & Peters, W. (2009). Using lexico-syntactic ontology design patterns for ontology creation and population. In E. Blomqvist, K. S. F. Scharffe, & V. Svatek (Eds.), Proceedings of the Workshop on Ontology Patterns (WOP2009) (Vol. 516). CEUR-WS.org.
Montiel-Ponsoda, E., Vila-Suero, D., Villazón-Terrazas, B., Dunsire, G., Escolano, E., & Gómez-Pérez, A. (2011). Style guidelines for naming and labeling ontologies in the multilingual web. In S. A. Sutton, T. Baker, M. Dekkers, D. I. Hillmann, M. Lauruhn, & J. Park (Eds.), Proceedings of International Conference on Dublin Core and Metadata Applications (DC-2011) (pp. 105–115). Dublin Core Metadata Initiative.
Nguyen, T.-A., Power, R., Piwek, P., & Williams, S. (2013). Predicting the understandability of OWL inferences. In P. Cimiano, O. Corcho, V. Presutti, L. Hollink, & S. Rudolph (Eds.), The Semantic Web: Semantics and Big Data (Vol. 7882, pp. 109–123). Berlin/Heidelberg: Springer.
Wimalasuriya, D. C., & Dou, D. (2010). Ontology-based information extraction: An introduction and a survey of current approaches. Journal of Information Science, 36, 306–323.
Acknowledgments
The DFKI part of this work has been supported by the Monnet project (Multilingual Ontologies for Networked knowledge), cofunded by the European Commission with Grant No. 248458, and by the TrendMiner project, co-funded by the European Commission with Grant No. 287863.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Gromann, D., Declerck, T. (2014). A Cross-Lingual Correcting and Completive Method for Multilingual Ontology Labels. In: Buitelaar, P., Cimiano, P. (eds) Towards the Multilingual Semantic Web. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43585-4_14
Download citation
DOI: https://doi.org/10.1007/978-3-662-43585-4_14
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-43584-7
Online ISBN: 978-3-662-43585-4
eBook Packages: Computer ScienceComputer Science (R0)