• Svetlana Popova
  • Ivan Khodyrev
  • Artem Egorov
  • Stepan Logvin
  • Sergey Gulyaev
  • Maria Karpova
  • Dmitry Mouromtsev
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.
Original languageEnglish
Title of host publicationCommunications in Computer and Information Science. Vol. 394: Knowledge Engineering and the Semantic Web
PublisherSpringer Nature
Pages313, 281-288
ISBN (Print)978-364241359-9
DOIs
StatePublished - 2013

    Research areas

  • Representing search results academic search engine keyphrase extraction clustering indexing informational retrieval

ID: 4656982