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.
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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.
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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
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