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Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches
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“However, their largely static nature proves to be a major limitation, as these frameworks struggle to accommodate the data-driven branching that characterizes dynamic workflows (Di Ciccio, Marrella, and Russo 2015).”
From VADAOrchestra: Neurosymbolic Orchestration of Adaptive Reasoning Workflows (2026) · cites this paper as Di Ciccio, Marrella, and Russo 2015
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“Traditional Business Process Management systems provide rigor, determinism, and auditability, yet they generally struggle to adapt their execution at runtime.”
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Metadata
- Authors
- Di Ciccio, C., Marrella, A., & Russo, A.
- Affiliations
- Sapienza University of Rome (IT)
- Corresponding author
- Marrella, Andrea
- Venue
- Journal on Data Semantics
- Published
- 2014-04-09
- Volume
- 4
- Issue
- 1
- Pages
- 29-57
- ISSN
- 1861-2032 (ISSN-L)
- 1861-2040
- OpenAlex
- W1992412373
- Cited by
- 312
- References
- 85
- Citations by year
- 2026: 9 · 2025: 21 · 2024: 27 · 2023: 24 · 2022: 29 · 2021: 34 · 2020: 25 · 2019: 38 · 2018: 30 · 2017: 31 · 2016: 14 · 2015: 27 · 2014: 3
- FWCI
- 55.40
- Type
- journal article
- Language
- en
- Open access
- green
- link.springer.com
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Journal on Data Semantics (publishedVersion)
- WU Research (publishedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion, other-oa)
- Funders
- European Commission (318275)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Business Process Modeling and Analysis
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
- Keywords
- knowledge-intensive processes, process engineering, process management, process execution, requirements analysis, evaluation framework, process approach, data-centric systems, flexibility
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