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

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

Content Provider	Springer Nature Link
Author	Marrella, Andrea Ciccio, Claudio Russo, Alessandro
Copyright Year	2014
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.
Starting Page	29
Ending Page	57
Page Count	29
File Format	PDF
ISSN	18612032
Journal	Journal on Data Semantics
Volume Number	4
Issue Number	1
e-ISSN	18612040
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-04-09
Publisher Place	Berlin, Heidelberg
Access Restriction	Subscribed
Subject Keyword	Process mining Process management systems Case management Database Management Information Storage and Retrieval Knowledge-intensive processes Artificial Intelligence (incl. Robotics) Information Systems Applications (incl. Internet) Process flexibility IT in Business
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Networks and Communications Information Systems

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