In the last years, users have become used to keyword-based search interfaces due to their ease of use. By matching input keywords against huge amounts of textual information and labeled multimedia files, current search engines satisfy most of users' information needs. However, the principal problem of this kind of search is the semantic gap between the input and the real user need, as keywords are a simplification of the query intended by the user. Moreover, different users could use the same set of keywords to search different information; even the same user could do it at different times. The search system, before accessing any data, should discover first the intended semantics b
"…describe bibliographic things on the semantic Web in RDF. This ontology can be used as a citation ontology, as a document classification ontology, or simply as a way to describe any kind of document in RDF. It has been inspired by many existing document description metadata formats, and can be used as a common ground for converting other bibliographic data sources."
The Web Data Commons project extracts structured data from the Common Crawl, the largest web corpus available to the public, and provides the extracted data for public download in order to support researchers and companies in exploiting the wealth of information that is available on the Web.
D. Sonntag, R. Neßelrath, G. Sonnenberg, и G. Herzog. Paper presented at the First International Workshop on Spoken Dialogue Systems Technology (IWSDS-2009), Kloster Irsee, Germany, (декабря 2009)Available from http://www.dfki.de/web/forschung/publikationen?pubid=4673.
D. Sonntag, R. Neßelrath, G. Sonnenberg, и G. Herzog. Paper presented at the First International Workshop on Spoken Dialogue Systems Technology (IWSDS-2009), Kloster Irsee, Germany, (декабря 2009)Available from http://www.dfki.de/web/forschung/publikationen?pubid=4673.