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
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 -