DCR-KiPN a hybrid modeling approach for knowledge-intensive processes

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Standard

DCR-KiPN a hybrid modeling approach for knowledge-intensive processes. / Santoro, Flávia; Slaats, Tijs; Hildebrandt, Thomas T.; Baiao, Fernanda.

Conceptual Modeling - 38th International Conference, ER 2019, Proceedings. red. / Alberto H.F. Laender; Barbara Pernici; Ee-Peng Lim; José Palazzo M. de Oliveira. Springer VS, 2019. s. 153-161 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11788 LNCS).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Harvard

Santoro, F, Slaats, T, Hildebrandt, TT & Baiao, F 2019, DCR-KiPN a hybrid modeling approach for knowledge-intensive processes. i AHF Laender, B Pernici, E-P Lim & JPM de Oliveira (red), Conceptual Modeling - 38th International Conference, ER 2019, Proceedings. Springer VS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), bind 11788 LNCS, s. 153-161, 38th International Conference on Conceptual Modeling, ER 2019, Salvador, Brasilien, 04/11/2019. https://doi.org/10.1007/978-3-030-33223-5_13

APA

Santoro, F., Slaats, T., Hildebrandt, T. T., & Baiao, F. (2019). DCR-KiPN a hybrid modeling approach for knowledge-intensive processes. I A. H. F. Laender, B. Pernici, E-P. Lim, & J. P. M. de Oliveira (red.), Conceptual Modeling - 38th International Conference, ER 2019, Proceedings (s. 153-161). Springer VS. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Bind 11788 LNCS https://doi.org/10.1007/978-3-030-33223-5_13

Vancouver

Santoro F, Slaats T, Hildebrandt TT, Baiao F. DCR-KiPN a hybrid modeling approach for knowledge-intensive processes. I Laender AHF, Pernici B, Lim E-P, de Oliveira JPM, red., Conceptual Modeling - 38th International Conference, ER 2019, Proceedings. Springer VS. 2019. s. 153-161. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11788 LNCS). https://doi.org/10.1007/978-3-030-33223-5_13

Author

Santoro, Flávia ; Slaats, Tijs ; Hildebrandt, Thomas T. ; Baiao, Fernanda. / DCR-KiPN a hybrid modeling approach for knowledge-intensive processes. Conceptual Modeling - 38th International Conference, ER 2019, Proceedings. red. / Alberto H.F. Laender ; Barbara Pernici ; Ee-Peng Lim ; José Palazzo M. de Oliveira. Springer VS, 2019. s. 153-161 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11788 LNCS).

Bibtex

@inproceedings{fefe175ebc05405698425f5f6fb9ecad,
title = "DCR-KiPN a hybrid modeling approach for knowledge-intensive processes",
abstract = "Hybrid modeling approaches have been proposed to represent processes that have both strictly regulated parts and loosely regulated parts. Such process is so-called Knowledge-intensive Process (KiP), which is a sequence of activities based on intense knowledge use and acquisition. Due to these very particular characteristics, the first author previously proposed the Knowledge-intensive Process Ontology (KiPO) and its subjacent notation (KiPN). However, KiPN still fails to represent the declarative perspective of a KiP. Therefore, in this paper, we propose to improve KiPN by integrating it with the declarative process modeling language DCR Graphs. DCR-KiPN is a hybrid process modeling notation that combines a declarative process model language (activities and business rules) with the main aspects of a KiP, such as cognitive elements (decision rationale towards goals, beliefs, desires and intentions), interactions and knowledge-exchange among its participants.",
keywords = "Hybrid process notation, Knowledge-intensive Process",
author = "Fl{\'a}via Santoro and Tijs Slaats and Hildebrandt, {Thomas T.} and Fernanda Baiao",
year = "2019",
doi = "10.1007/978-3-030-33223-5_13",
language = "English",
isbn = "9783030332228",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer VS",
pages = "153--161",
editor = "Laender, {Alberto H.F.} and Barbara Pernici and Ee-Peng Lim and {de Oliveira}, {Jos{\'e} Palazzo M.}",
booktitle = "Conceptual Modeling - 38th International Conference, ER 2019, Proceedings",
note = "38th International Conference on Conceptual Modeling, ER 2019 ; Conference date: 04-11-2019 Through 07-11-2019",

}

RIS

TY - GEN

T1 - DCR-KiPN a hybrid modeling approach for knowledge-intensive processes

AU - Santoro, Flávia

AU - Slaats, Tijs

AU - Hildebrandt, Thomas T.

AU - Baiao, Fernanda

PY - 2019

Y1 - 2019

N2 - Hybrid modeling approaches have been proposed to represent processes that have both strictly regulated parts and loosely regulated parts. Such process is so-called Knowledge-intensive Process (KiP), which is a sequence of activities based on intense knowledge use and acquisition. Due to these very particular characteristics, the first author previously proposed the Knowledge-intensive Process Ontology (KiPO) and its subjacent notation (KiPN). However, KiPN still fails to represent the declarative perspective of a KiP. Therefore, in this paper, we propose to improve KiPN by integrating it with the declarative process modeling language DCR Graphs. DCR-KiPN is a hybrid process modeling notation that combines a declarative process model language (activities and business rules) with the main aspects of a KiP, such as cognitive elements (decision rationale towards goals, beliefs, desires and intentions), interactions and knowledge-exchange among its participants.

AB - Hybrid modeling approaches have been proposed to represent processes that have both strictly regulated parts and loosely regulated parts. Such process is so-called Knowledge-intensive Process (KiP), which is a sequence of activities based on intense knowledge use and acquisition. Due to these very particular characteristics, the first author previously proposed the Knowledge-intensive Process Ontology (KiPO) and its subjacent notation (KiPN). However, KiPN still fails to represent the declarative perspective of a KiP. Therefore, in this paper, we propose to improve KiPN by integrating it with the declarative process modeling language DCR Graphs. DCR-KiPN is a hybrid process modeling notation that combines a declarative process model language (activities and business rules) with the main aspects of a KiP, such as cognitive elements (decision rationale towards goals, beliefs, desires and intentions), interactions and knowledge-exchange among its participants.

KW - Hybrid process notation

KW - Knowledge-intensive Process

UR - http://www.scopus.com/inward/record.url?scp=85076178467&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-33223-5_13

DO - 10.1007/978-3-030-33223-5_13

M3 - Article in proceedings

AN - SCOPUS:85076178467

SN - 9783030332228

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 153

EP - 161

BT - Conceptual Modeling - 38th International Conference, ER 2019, Proceedings

A2 - Laender, Alberto H.F.

A2 - Pernici, Barbara

A2 - Lim, Ee-Peng

A2 - de Oliveira, José Palazzo M.

PB - Springer VS

T2 - 38th International Conference on Conceptual Modeling, ER 2019

Y2 - 4 November 2019 through 7 November 2019

ER -

ID: 239961804