Abstract | ||
---|---|---|
With the evolution of the Business Process Management (BPM) research field, many researchers started to perceive a specific type of process as being critical to organizations, the so-called Knowledge-intensive Processes (KiP), characterized by a dynamic and unstable control-flow and complex activities that change frequently at run-time. This research proposes an approach based on the characterization of a KIP in terms of its interactions and the critical role of context during its execution. We argue that a detailed description about their precise conceptualization and how they influence or determine the execution of a KIP is still missing in the literature of this area. The analysis of the interactions that occur during the executions of the activities of a KiP, as well as their associated elements (such as context and speech acts), is vital to its correct understanding, modeling and execution. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1007/978-3-319-57837-8_39 | Lecture Notes in Artificial Intelligence |
Field | DocType | Volume |
Business process management,Business process,Computer science,Conceptualization,Natural language processing,Artificial intelligence,Common ground,Process management | Conference | 10257 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
12 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
João Carlos de A. R. Gonçalves | 1 | 16 | 3.75 |
Fernanda Araujo Baião | 2 | 176 | 32.72 |
Flávia Maria Santoro | 3 | 312 | 47.15 |