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Journal on Data Semantics
Erschienen in: Journal on Data Semantics 1/2015

01.03.2015 | Original Article

Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches

verfasst von: Claudio Di Ciccio, Andrea Marrella, Alessandro Russo

Erschienen in: Journal on Data Semantics | Ausgabe 1/2015

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Abstract

Engineering of knowledge-intensive processes (KiPs) is far from being mastered, since they are genuinely knowledge- and data-centric, and require substantial flexibility, at both design- and run-time. In this work, starting from a scientific literature analysis in the area of KiPs and from three real-world domains and application scenarios, we provide a precise characterization of KiPs. Furthermore, we devise some general requirements related to KiPs management and execution. Such requirements contribute to the definition of an evaluation framework to assess current system support for KiPs. To this end, we present a critical analysis on a number of existing process-oriented approaches by discussing their efficacy against the requirements.
Vorheriger Artikel Semantic Enrichment of GSM-Based Artifact-Centric Models
Nächster Artikel Consistent Abstraction of Business Processes Based on Constraints

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Fußnoten
2
When applicable, we specify the evaluated version.
 
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Metadaten
Titel
Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches
verfasst von
Claudio Di Ciccio
Andrea Marrella
Alessandro Russo
Publikationsdatum
01.03.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal on Data Semantics / Ausgabe 1/2015
Print ISSN: 1861-2032
Elektronische ISSN: 1861-2040
DOI
https://doi.org/10.1007/s13740-014-0038-4

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