Abstract
To make the vision of a European Information Infrastructure and of the Semantic Web a reality, two key issues are tackled: (i) content, which must be dealt with in a multilingual environment; (ii) standards, which are critical to achieve interoperability and integration. In the Semantic Web scenario, ontologies are the key components to manage knowledge, whereas, in Human Language Technology, semantic description is committed to computational lexicons, which have to squarely address the complexity of natural language. Answers to the above issues are found within two frameworks: first, in the framework of Generative Lexicon (GL) theory and GL-based lexicons that account for the complex, multidimensional and multifaceted nature of meaning in lexicon and ontology design; second, in the context of the ISLE enterprise which, with the MILE, represents an essential interface between advanced research in the field of multilingual lexical semantics and the practical task of developing resources for HLT.
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Notes
- 1.
- 2.
Although the term (linguistic) ontology is often used to refer to WordNet or other lexical resources.
- 3.
Catalan, Danish, Dutch, English, Finnish, French, German, Greek, Italian, Portuguese, Spanish and Swedish.
- 4.
SIMPLE is also grounded on the recommendations which emerged from the EAGLES project as well as on the results of the EuroWordNet, AQUILEX and DELIS EC Semantic Projects.
- 5.
ISLE Web Site URL: lingue.ilc.cnr.it/EAGLES96/isle/ISLE_Home_Page.htm
- 6.
EAGLES stands for Expert Advisory Group for Language Engineering Standards and was launched within EC Directorate General XIII’s Linguistic Research and Engineering programme in 1993, continued under the Language Engineering programme, and then under the Human Language Technology (HLT) programme as ISLE, since January 2000.
- 7.
Different possible lexical entries can be designed as instances of the schema provided by the MILE. Instances of entries might differ for the type of information they include and the depth of lexical description.
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Calzolari, N., Bertagna, F., Lenci, A., Monachini, M. (2013). Boosting Lexical Resources for the Semantic Web: Generative Lexicon and Lexicon Interoperability. In: Pustejovsky, J., Bouillon, P., Isahara, H., Kanzaki, K., Lee, C. (eds) Advances in Generative Lexicon Theory. Text, Speech and Language Technology, vol 46. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5189-7_18
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