Information Retrieval and Search Engines in Full-text Databases | Zendy

Hartmut Zillmann | Zendy

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Information Retrieval and Search Engines in Full-text Databases

Author(s) -

Hartmut Zillmann

Publication year - 2000

Publication title -

liber quarterly the journal of the association of european research libraries

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.392

H-Index - 15

eISSN - 1435-5205

pISSN - 2213-056X

DOI - 10.18352/lq.7605

Subject(s) - computer science , search engine indexing , information retrieval , german , natural language , context (archaeology) , database , natural language processing , world wide web , linguistics , philosophy , paleontology , biology

OSIRIS and ELIB are two cooperative projects at the Osnabruck University supported by the German Research Society (DFG) and the Ministry of Science and Culture (MWK) Niedersachsen (Germany). They deal with natural language retrieval systems and with indexing techniques for full-text databases using natural language processing. Very complex processes in the context of syntactical and semantical analysis of textual phrases including sophisticated valuation criteria could be implemented in large relational databases with online realtime indexing requirements.

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