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Knowledge Elicitation Methods Taxonomy: Russian view. / Gavrilova, Tatiana A.; Leshcheva, Irina A.; Rumyantseva, Maria N.

Knowledge-Based and Intelligent Information and Engineering Systems, Part I. Springer Nature, 2011. стр. 615 с., 337-346.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике › научная

Harvard

Gavrilova, TA, Leshcheva, IA & Rumyantseva, MN 2011, Knowledge Elicitation Methods Taxonomy: Russian view. в Knowledge-Based and Intelligent Information and Engineering Systems, Part I. Springer Nature, стр. 615 с., 337-346. <http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=GeneralSearch&qid=3&SID=X1lB@bBHfn@ghLP1aee&page=2&doc=17>

APA

Gavrilova, T. A., Leshcheva, I. A., & Rumyantseva, M. N. (2011). Knowledge Elicitation Methods Taxonomy: Russian view. в Knowledge-Based and Intelligent Information and Engineering Systems, Part I (стр. 615 с., 337-346). Springer Nature. http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=GeneralSearch&qid=3&SID=X1lB@bBHfn@ghLP1aee&page=2&doc=17

Vancouver

Gavrilova TA, Leshcheva IA, Rumyantseva MN. Knowledge Elicitation Methods Taxonomy: Russian view. в Knowledge-Based and Intelligent Information and Engineering Systems, Part I. Springer Nature. 2011. стр. 615 с., 337-346

Author

Gavrilova, Tatiana A. ; Leshcheva, Irina A. ; Rumyantseva, Maria N. / Knowledge Elicitation Methods Taxonomy: Russian view. Knowledge-Based and Intelligent Information and Engineering Systems, Part I. Springer Nature, 2011. стр. 615 с., 337-346

BibTeX

@inbook{21c97d9af57f492a83ce408dc60e2d4d,
title = "Knowledge Elicitation Methods Taxonomy: Russian view",
abstract = "The paper presents general classification of knowledge elicitation methods first and continues with elaboration of each individual method. In this paper we attempt to blend together Russian knowledge elicitation methods and practices with internationally applied methods. We concentrate on the analysis of knowledge elicitation methods of qualitative research. The result is a more comprehensive classification of knowledge elicitation methods. The classification further benefits from the authors' rich practical experience of implementing these methods.",
keywords = "SCOPUS, WEB OF SCIENCE, РИНЦ",
author = "Gavrilova, {Tatiana A.} and Leshcheva, {Irina A.} and Rumyantseva, {Maria N.}",
note = "Gavrilova, T. A. Knowledge Elicitation Methods Taxonomy: Russian view / T. A. Gavrilova, I. A. Leshcheva, M. N. Rumyantseva // Knowledge-Based and Intelligent Information and Engineering Systems, Part I. - Springer, 2011. - P. 337-346. ",
year = "2011",
language = "English",
isbn = "978-3-642-23850-5",
pages = "615 с., 337--346",
booktitle = "Knowledge-Based and Intelligent Information and Engineering Systems, Part I",
publisher = "Springer Nature",
address = "Germany",

}

RIS

TY - CHAP

T1 - Knowledge Elicitation Methods Taxonomy: Russian view

AU - Gavrilova, Tatiana A.

AU - Leshcheva, Irina A.

AU - Rumyantseva, Maria N.

N1 - Gavrilova, T. A. Knowledge Elicitation Methods Taxonomy: Russian view / T. A. Gavrilova, I. A. Leshcheva, M. N. Rumyantseva // Knowledge-Based and Intelligent Information and Engineering Systems, Part I. - Springer, 2011. - P. 337-346.

PY - 2011

Y1 - 2011

N2 - The paper presents general classification of knowledge elicitation methods first and continues with elaboration of each individual method. In this paper we attempt to blend together Russian knowledge elicitation methods and practices with internationally applied methods. We concentrate on the analysis of knowledge elicitation methods of qualitative research. The result is a more comprehensive classification of knowledge elicitation methods. The classification further benefits from the authors' rich practical experience of implementing these methods.

AB - The paper presents general classification of knowledge elicitation methods first and continues with elaboration of each individual method. In this paper we attempt to blend together Russian knowledge elicitation methods and practices with internationally applied methods. We concentrate on the analysis of knowledge elicitation methods of qualitative research. The result is a more comprehensive classification of knowledge elicitation methods. The classification further benefits from the authors' rich practical experience of implementing these methods.

KW - SCOPUS

KW - WEB OF SCIENCE

KW - РИНЦ

M3 - Article in an anthology

SN - 978-3-642-23850-5

SP - 615 с., 337-346

BT - Knowledge-Based and Intelligent Information and Engineering Systems, Part I

PB - Springer Nature

ER -

ID: 4511954