Standard

Sci-Search: Academic Search and Analysis System Based on Keyphrases. / Popova, Svetlana; Khodyrev, Ivan; Egorov, Artem; Logvin, Stepan; Gulyaev, Sergey; Karpova, Maria; Mouromtsev, Dmitry.

Communications in Computer and Information Science. Vol. 394: Knowledge Engineering and the Semantic Web. Springer Nature, 2013. p. 313, 281-288.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

Harvard

Popova, S, Khodyrev, I, Egorov, A, Logvin, S, Gulyaev, S, Karpova, M & Mouromtsev, D 2013, Sci-Search: Academic Search and Analysis System Based on Keyphrases. in Communications in Computer and Information Science. Vol. 394: Knowledge Engineering and the Semantic Web. Springer Nature, pp. 313, 281-288. https://doi.org/10.1007/978-3-642-41360-5_24

APA

Popova, S., Khodyrev, I., Egorov, A., Logvin, S., Gulyaev, S., Karpova, M., & Mouromtsev, D. (2013). Sci-Search: Academic Search and Analysis System Based on Keyphrases. In Communications in Computer and Information Science. Vol. 394: Knowledge Engineering and the Semantic Web (pp. 313, 281-288). Springer Nature. https://doi.org/10.1007/978-3-642-41360-5_24

Vancouver

Popova S, Khodyrev I, Egorov A, Logvin S, Gulyaev S, Karpova M et al. Sci-Search: Academic Search and Analysis System Based on Keyphrases. In Communications in Computer and Information Science. Vol. 394: Knowledge Engineering and the Semantic Web. Springer Nature. 2013. p. 313, 281-288 https://doi.org/10.1007/978-3-642-41360-5_24

Author

Popova, Svetlana ; Khodyrev, Ivan ; Egorov, Artem ; Logvin, Stepan ; Gulyaev, Sergey ; Karpova, Maria ; Mouromtsev, Dmitry. / Sci-Search: Academic Search and Analysis System Based on Keyphrases. Communications in Computer and Information Science. Vol. 394: Knowledge Engineering and the Semantic Web. Springer Nature, 2013. pp. 313, 281-288

BibTeX

@inbook{e00a41845d1c47a8aad9c7e4fad83c1f,
title = "Sci-Search: Academic Search and Analysis System Based on Keyphrases",
abstract = "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.",
keywords = "Representing search results academic search engine keyphrase extraction clustering indexing informational retrieval",
author = "Svetlana Popova and Ivan Khodyrev and Artem Egorov and Stepan Logvin and Sergey Gulyaev and Maria Karpova and Dmitry Mouromtsev",
year = "2013",
doi = "10.1007/978-3-642-41360-5_24",
language = "English",
isbn = "978-364241359-9",
pages = "313, 281--288",
booktitle = "Communications in Computer and Information Science. Vol. 394: Knowledge Engineering and the Semantic Web",
publisher = "Springer Nature",
address = "Germany",

}

RIS

TY - CHAP

T1 - Sci-Search: Academic Search and Analysis System Based on Keyphrases

AU - Popova, Svetlana

AU - Khodyrev, Ivan

AU - Egorov, Artem

AU - Logvin, Stepan

AU - Gulyaev, Sergey

AU - Karpova, Maria

AU - Mouromtsev, Dmitry

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Representing search results academic search engine keyphrase extraction clustering indexing informational retrieval

U2 - 10.1007/978-3-642-41360-5_24

DO - 10.1007/978-3-642-41360-5_24

M3 - Chapter

SN - 978-364241359-9

SP - 313, 281-288

BT - Communications in Computer and Information Science. Vol. 394: Knowledge Engineering and the Semantic Web

PB - Springer Nature

ER -

ID: 4656982