Bridging the Markup Gap: Smart Search Engines for Language Researchers
نویسندگان
چکیده
This paper describes the design features of a search engine for linguistic data being developed at the University of Arizona as part of the Electronic Metastructure for Endangered Languages Data (EMELD) project. It is intended to access websites in which linguistic data is encoded in RDF/XML, identifies the relevant features, links them to an ontology of linguistic terminology, and supports queries over the terms found both in the ontology and the websites.
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