Semantic Explorer --- navigation in documents collections; Proxima Daily --- learning personal newspaper (demonstration session)

Vadim Asadov, Serge Shumsky
2000 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '00  
NeurOK LLC presents two products, based on its propnetary technology of content-based information retrieval and filtering. Both products are powered by the Internet Semantic Server TM, capable of learning the basic semantic categories from large documents collections. Each term as well as each document is then represented as a vector in semantic space, so that closely related documents have similar vectors. Thus one can compare the content of the documents, regardless of the particular choice
more » ... the used terms. Semantic Explorer TM provides an easy navigational tool in the interactive self-organizing maps of documents collections. It is capable of automatic extraction of a hierarchy of thematic categories, representing the structure of a database content. It facilitates comprehension of the content of large databases and can be used for quick content-based search of related documents.
doi:10.1145/345508.345668 dblp:conf/sigir/AsadovS00 fatcat:d23z5s6pdfb7femxhgk3hephku