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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Sci-Search: Academic Search and Analysis System Based on Keyphrases
verfasst von : Svetlana Popova, Ivan Khodyrev, Artem Egorov, Stepan Logvin, Sergey Gulyaev, Maria Karpova, Dmitry Mouromtsev
Erschienen in: Knowledge Engineering and the Semantic Web
Verlag: Springer Berlin Heidelberg
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Structured data representation allows saving much time during relevant information search and gives a useful view on a domain. It allows researchers to find relevant publications faster and getting insights about tendencies and dynamics of a particular scientific domain as well as finding emerging topics. Sorted lists of search results provided by the popular search engines are not suitable for such a task. In this paper we demonstrate a demo version of a search engine working with abstracts of scientific articles and providing structured representation of information to the user. Keyphrases are used as the basis for processing algorithms and representation. Some algorithm details are described in the paper. A number of test requests and their results are discussed.