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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.”
From VADAOrchestra: Neurosymbolic Orchestration of Adaptive Reasoning Workflows (2026) · cites this paper as Di Ciccio, Marrella, and Russo 2015
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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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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