Thematic Thesauruses in Agent Technologies for Scientific and Technical Information Search
Autor: | Alexey Artamonov, Kristina Ionkina, Ilya Galin, Boris Onykiy, Anastasia Ananieva, Dmitry Kshnyakov |
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Jazyk: | angličtina |
Předmět: |
thesaurus
databases Computer science InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL 02 engineering and technology 03 medical and health sciences laser technologies 0302 clinical medicine 0202 electrical engineering electronic engineering information engineering Information analysis systems General Environmental Science Thesaurus (information retrieval) Measure (data warehouse) Information retrieval business.industry Term (time) Index (publishing) table and graph models ComputingMethodologies_DOCUMENTANDTEXTPROCESSING agent-based technologies General Earth and Planetary Sciences 020201 artificial intelligence & image processing The Internet Web crawler business 030217 neurology & neurosurgery |
Zdroj: | BICA |
ISSN: | 1877-0509 |
DOI: | 10.1016/j.procs.2016.07.470 |
Popis: | Diffusion process of professionally relevant information in the Internet thus increasing of access time in the dialogue mode lead to the necessity to solve problem of real-time pertinent information delivery. The article presents the solution to the problem of choosing the most important concepts for selecting texts that are relevant to the thematic direction from the general flow of the texts delivered to the system by web crawler. To solve this problem, the author introduced the concept of “generality index” of the thematic thesaurus’ term. It is proposed to measure the terms value as keywords for agent search prescriptions. |
Databáze: | OpenAIRE |
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