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One Approach to the Classification of Business Knowledge Diagrams: Practical View. / Kudryavtsev, D.; Gavrilova, T.; Leshcheva, I.

Proceedings of the 2013 Federated Conference on Computer Science and Information Systems (FedCSIS). Institute of Electrical and Electronics Engineers Inc., 2013. стр. 1259-1265.

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

Harvard

Kudryavtsev, D, Gavrilova, T & Leshcheva, I 2013, One Approach to the Classification of Business Knowledge Diagrams: Practical View. в Proceedings of the 2013 Federated Conference on Computer Science and Information Systems (FedCSIS). Institute of Electrical and Electronics Engineers Inc., стр. 1259-1265. <http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6644176>

APA

Kudryavtsev, D., Gavrilova, T., & Leshcheva, I. (2013). One Approach to the Classification of Business Knowledge Diagrams: Practical View. в Proceedings of the 2013 Federated Conference on Computer Science and Information Systems (FedCSIS) (стр. 1259-1265). Institute of Electrical and Electronics Engineers Inc.. http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6644176

Vancouver

Kudryavtsev D, Gavrilova T, Leshcheva I. One Approach to the Classification of Business Knowledge Diagrams: Practical View. в Proceedings of the 2013 Federated Conference on Computer Science and Information Systems (FedCSIS). Institute of Electrical and Electronics Engineers Inc. 2013. стр. 1259-1265

Author

Kudryavtsev, D. ; Gavrilova, T. ; Leshcheva, I. / One Approach to the Classification of Business Knowledge Diagrams: Practical View. Proceedings of the 2013 Federated Conference on Computer Science and Information Systems (FedCSIS). Institute of Electrical and Electronics Engineers Inc., 2013. стр. 1259-1265

BibTeX

@inproceedings{28db688e1d0148249049dbee4ce3dbb1,
title = "One Approach to the Classification of Business Knowledge Diagrams: Practical View",
abstract = "Diagrams are an effective and popular tool for visual knowledge structuring. Managers also often use them to acquire and transfer business knowledge. There are many currently available diagrams or visual modeling languages for managerial needs, unfortunately the choice between them is frequently error-prone and inconsistent. This situation raises the next questions. What diagrams/ visual modeling languages are the most suitable for the specific type of business content? What domain-specific diagrams are the most suitable for the visualization of the particular elements of organizational ontology? In order to provide the answers, the paper suggests light-weight specification of diagrams and knowledge content types, which is based on the competency questions and ontology design patterns. The proposed approach provides the classification of qualitative business diagrams.",
keywords = "business knowledge, domain specific, error prones, knowledge content, light weight, ontology design, visual knowledge, visual modeling languages, SCOPUS",
author = "D. Kudryavtsev and T. Gavrilova and I. Leshcheva",
note = "Kudryavtsev, D. One Approach to the Classification of Business Knowledge Diagrams: Practical View / D. Ludryavtsev, T. Gavrilova, I. Leshcheva // Proceedings of the 2013 Federated Conference on Computer Science and Information Systems (FedCSIS). - Institute of Electrical and Electronics Engineers Inc., 2013. - P. 1259-1265.",
year = "2013",
language = "English",
isbn = "9781467344715",
pages = "1259--1265",
booktitle = "Proceedings of the 2013 Federated Conference on Computer Science and Information Systems (FedCSIS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

RIS

TY - GEN

T1 - One Approach to the Classification of Business Knowledge Diagrams: Practical View

AU - Kudryavtsev, D.

AU - Gavrilova, T.

AU - Leshcheva, I.

N1 - Kudryavtsev, D. One Approach to the Classification of Business Knowledge Diagrams: Practical View / D. Ludryavtsev, T. Gavrilova, I. Leshcheva // Proceedings of the 2013 Federated Conference on Computer Science and Information Systems (FedCSIS). - Institute of Electrical and Electronics Engineers Inc., 2013. - P. 1259-1265.

PY - 2013

Y1 - 2013

N2 - Diagrams are an effective and popular tool for visual knowledge structuring. Managers also often use them to acquire and transfer business knowledge. There are many currently available diagrams or visual modeling languages for managerial needs, unfortunately the choice between them is frequently error-prone and inconsistent. This situation raises the next questions. What diagrams/ visual modeling languages are the most suitable for the specific type of business content? What domain-specific diagrams are the most suitable for the visualization of the particular elements of organizational ontology? In order to provide the answers, the paper suggests light-weight specification of diagrams and knowledge content types, which is based on the competency questions and ontology design patterns. The proposed approach provides the classification of qualitative business diagrams.

AB - Diagrams are an effective and popular tool for visual knowledge structuring. Managers also often use them to acquire and transfer business knowledge. There are many currently available diagrams or visual modeling languages for managerial needs, unfortunately the choice between them is frequently error-prone and inconsistent. This situation raises the next questions. What diagrams/ visual modeling languages are the most suitable for the specific type of business content? What domain-specific diagrams are the most suitable for the visualization of the particular elements of organizational ontology? In order to provide the answers, the paper suggests light-weight specification of diagrams and knowledge content types, which is based on the competency questions and ontology design patterns. The proposed approach provides the classification of qualitative business diagrams.

KW - business knowledge

KW - domain specific

KW - error prones

KW - knowledge content

KW - light weight

KW - ontology design

KW - visual knowledge

KW - visual modeling languages

KW - SCOPUS

M3 - Conference contribution

SN - 9781467344715

SP - 1259

EP - 1265

BT - Proceedings of the 2013 Federated Conference on Computer Science and Information Systems (FedCSIS)

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

ID: 4726223