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|Full Title:||3rd Workshop on the Multilingual Semantic Web|
|Location:||Boston, MA, USA|
|Start Date:||11-Nov-2012 - 11-Nov-2012|
|Meeting Email:||click here to access email|
|Meeting Description:||3rd Workshop on the Multilingual Semantic Web co-located with the 11th International Semantic Web Conference (ISWC 2012), Boston MA, USA
Although knowledge processing on the Semantic Web is inherently language-independent, human interaction with semantically structured and linked data will remain inherently language-based as it often requires text or speech input - in many different languages. Semantic Web development will therefore be increasingly concerned with knowledge extraction, integration and interaction in multiple languages, making multilinguality an emerging challenge to the global advance of Semantic Web and linked data use and development across language communities around the world. The 3rd workshop on the Multilingual Semantic Web has a focus on the underlying multilingual web infrastructure as well as the linguistic annotation needed for multilingual knowledge extraction, integration and interaction. The workshop will be supported by the Ontology-Lexica W3C Community Group, the W3C MultilingualWeb-LT Working Group, the ISO-Space project and ISO-TimeML:
The vision of the Multilingual Semantic Web workshop series is the creation of a Semantic Web where semantically structured information can be aligned, integrated and used across languages. The workshops are concerned with research questions on how current Semantic Web infrastructure can and should be extended to support this vision.
Ontologies and linked data vocabularies are defined often in one language only (English), with a biased semantics and a corresponding world view. An infrastructure should be in place for defining ontologies and vocabularies in multiple languages with a transparent semantics across them. Current Semantic Web representation languages (RDF, OWL, SKOS) are limited in regard of the representation of natural language semantics, leaving much of the semantics hidden in textual web content out of scope for the developing Web of Data.
NLP and machine learning for Linked Data can benefit from exploiting linguistic resources such as annotated corpora, wordnets etc. if they are themselves formally represented and linked by use of Linked Data principles. In addressing such research questions, the workshop aims at providing a forum for researchers at the intersection of NLP, multilingual information access, Linked Data and the Semantic Web to exchange ideas on realizing the Multilingual Semantic Web.
|Linguistic Subfield:||Computational Linguistics|
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