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Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches
TLDR
This work provides a precise characterization of KiPs and devise some general requirements related to KiPs management and execution that contribute to the definition of an evaluation framework to assess current system support for KiPs. Expand
Blockchains for Business Process Management - Challenges and Opportunities
TLDR
The challenges and opportunities of blockchain for business process management (BPM) are outlined and how blockchains could be used in the context of the established BPM lifecycle and how they might become relevant beyond are reflected. Expand
On the Discovery of Declarative Control Flows for Artful Processes
TLDR
This article discussed how it addressed the challenge of discovering declarative control flows in the context of artful processes by devised and implemented a two-phase algorithm, named MINERful, and described in detail its discovery technique. Expand
Extracting Declarative Process Models from Natural Language
TLDR
This paper presents the first automated approach for the extraction of declarative process models from natural language techniques that identify activities and their inter-relations from textual constraint descriptions and provides automated support for an otherwise tedious and complex manual endeavor. Expand
A two-step fast algorithm for the automated discovery of declarative workflows
TLDR
MINERful++ is fast, modular, independent of the specific formalism adopted for representing constraints, based on a probabilistic approach and capable of eliminating the redundancy of subsumed constraints. Expand
The Internet-of-Things Meets Business Process Management: Mutual Benefits and Challenges
TLDR
To what extent the Internet of Things and Business Process Management can be combined, and the emerging challenges are discussed. Expand
Discovery of Multi-perspective Declarative Process Models
TLDR
This paper presents a full-fledged approach for the discovery of multi-perspective declarative process models from event logs that allows the user to discoverDeclarative models taking into consideration all the information an event log can provide. Expand
Resolving inconsistencies and redundancies in declarative process models
TLDR
An approach for the automated detection of inconsistencies and redundancies in declarative process models is proposed, based upon the notion of product-automata monoid, which guarantees the consistency of the discovered models and keeps the most interesting constraints in the pruned set. Expand
Predictive Task Monitoring for Business Processes
TLDR
A framework for controlling the safe execution of tasks and signalling possible misbehaviours at runtime is described and a real use case on smart logistics and the preliminary results of its application are outlined. Expand
Matching events and activities by integrating behavioral aspects and label analysis
TLDR
A semi-automatic approach that maps events to activities using insights from behavioral analysis and label analysis and techniques from natural language processing allow for a matching based on labels and external knowledge sources is developed. Expand
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