[HTML][HTML] The biggest business process management problems to solve before we die

I Beerepoot, C Di Ciccio, HA Reijers, S Rinderle-Ma… - Computers in …, 2023 - Elsevier
It may be tempting for researchers to stick to incremental extensions of their current work to
plan future research activities. Yet there is also merit in realizing the grand challenges in …

Towards automatic business process redesign: an NLP based approach to extract redesign suggestions

A Mustansir, K Shahzad, MK Malik - Automated software engineering, 2022 - Springer
Business process redesign (BPR) is widely recognized as a key phase of the business
process management lifecycle. However, the existing studies have focused on proposing …

A survey on business process view integration: past, present and future applications to blockchain

R Belchior, S Guerreiro, A Vasconcelos… - Business Process …, 2022 - emerald.com
Purpose The complexity of business environments often causes organizations to produce
several inconsistent views of the same business process (BP), leading to fragmentation. BP …

Matching events and activities by integrating behavioral aspects and label analysis

T Baier, C Di Ciccio, J Mendling, M Weske - Software & Systems Modeling, 2018 - Springer
Nowadays, business processes are increasingly supported by IT services that produce
massive amounts of event data during the execution of a process. These event data can be …

Semantic modeling and analysis of complex data-aware processes and their executions

P Bertoli, F Corcoglioniti, C Di Francescomarino… - Expert Systems with …, 2022 - Elsevier
Enriching business processes with the semantic knowledge of an ontology is recognized as
a fundamental need in business process management in order to obtain better models and …

OAEI 2016 results of AML

D Faria, C Pesquita, BS Balasubramani… - … workshop on ontology …, 2016 - par.nsf.gov
AgreementMakerLight (AML) is an automated ontology matching system based primarily on
element-level matching and on the use of external resources as background knowledge …

[PDF][PDF] WordNet based Semantic Similarity Measures for Process Model Matching.

K Shahzad, I Pervaz, A Nawab - BIR Workshops, 2018 - ceur-ws.org
Process Model Matching (PMM) refers to the automatic identification of corresponding
activities between a pair of process models. Due to the wider applicability of PMM …

Analyzing control flow information to improve the effectiveness of process model matching techniques

C Klinkmüller, I Weber - Decision Support Systems, 2017 - Elsevier
Process model matchers automatically identify activities that represent similar functionality in
different process models. As such, they support various tasks in business process …

A comprehensive process similarity measure based on models and logs

C Zhou, C Liu, Q Zeng, Z Lin, H Duan - IEEE Access, 2019 - ieeexplore.ieee.org
Process similarity measure plays an important role in business process management and is
usually considered as a versatile solution to fulfill the effective utilization of process models …

A survey of ontology benchmarks for semantic web ontology tools

O Zamazal - international Journal on Semantic Web and information …, 2020 - igi-global.com
Software engineering employs different benchmarks for a software evaluation. This enables
software developers to continuously improve their product. The same needs are intrinsic for …