Measure of Semantic Likeness Among Business Process Activities in a Telecommunication Company

The study proposes a measure of semantic similarity to solve the wide variety of business process recovery problems, these measures allow to compare the processes of business models useful for reuse, redesign or reengineering process. A metric that demonstrates the similarity between a reference model or fragment of it is proposed. These metrics focus on the activities that make up a business process and are developed through three measures: syntactic, linguistic and semantic similarities. The results show that the proposed measure is suitable for reuse purposes in manufacturing processes, being a useful tool in the area of knowledge management and process administration.

[1]  Erno T. Tornikoski,et al.  Perceived uncertainty and behavioral logic: Temporality and unanticipated consequences in the new venture creation process , 2019, Journal of Business Venturing.

[2]  Rama Akkiraju,et al.  Discovering Business Process Similarities: An Empirical Study with SAP Best Practice Business Processes , 2010, ICSOC.

[3]  Remco M. Dijkman,et al.  Merging Business Process Models , 2010, OTM Conferences.

[4]  David Sammon,et al.  Critical success factors for data governance: a telecommunications case study , 2019, J. Decis. Syst..

[5]  Mathias Weske,et al.  Causal Behavioural Profiles - Efficient Computation, Applications, and Evaluation , 2011, Fundam. Informaticae.

[6]  Remco M. Dijkman,et al.  Graph Matching Algorithms for Business Process Model Similarity Search , 2009, BPM.

[7]  Mathias Weske,et al.  Metric Trees for Efficient Similarity Search in Large Process Model Repositories , 2010, Business Process Management Workshops.

[8]  Jorge Martínez Gil,et al.  Automatic design of semantic similarity controllers based on fuzzy logics , 2019, Expert Syst. Appl..

[9]  Harvey J. Miller,et al.  Measuring the Geometric and Semantic Similarity of Space–Time Prisms Using Temporal Signatures , 2019, Annals of the American Association of Geographers.

[10]  Manfred Reichert,et al.  On Measuring Process Model Similarity Based on High-Level Change Operations , 2007, ER.

[11]  Ralf Laue,et al.  A comparative survey of business process similarity measures , 2012, Comput. Ind..

[12]  Leandro Ordóñez Ante,et al.  Estimación de la similitud semántica de tareas entre procesos de negocio de telecomunicaciones , 2012 .

[13]  Wil M. P. van der Aalst,et al.  Quantifying process equivalence based on observed behavior , 2008, Data Knowl. Eng..

[14]  Paul W. P. J. Grefen,et al.  Fast Business Process Similarity Search with Feature-Based Similarity Estimation , 2010, OTM Conferences.

[15]  Jianmin Wang,et al.  A Behavioral Similarity Measure between Labeled Petri Nets Based on Principal Transition Sequences - (Short Paper) , 2010, OTM Conferences.

[16]  Detlef Seese,et al.  Visualization and Clustering of Business Process Collections Based on Process Metric Values , 2008, 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.

[17]  Michel Berne,et al.  An analysis of the disruptive impact of the entry of Free Mobile into the French mobile telecommunications market , 2019, Telecommunications Policy.

[18]  Dekang Lin,et al.  An Information-Theoretic Definition of Similarity , 1998, ICML.

[19]  Patrick Dupont,et al.  Left perirhinal cortex codes for semantic similarity between written words defined from cued word association , 2019, NeuroImage.

[20]  Miguel Alfaro,et al.  Optimization of large electric power distribution using a parallel genetic algorithm with dandelion strategy , 2018, Turkish J. Electr. Eng. Comput. Sci..

[21]  K. Prem Chander,et al.  Sentence Similarity Using Syntactic and Semantic Features for Multi-document Summarization , 2018, International Conference on Innovative Computing and Communications.

[22]  Heiner Stuckenschmidt,et al.  Semantic Interoperability Methods for Smart Service Systems: A Survey , 2019, IEEE Transactions on Engineering Management.

[23]  Guillermo Fuertes,et al.  Adaptive equalization using artificial neural networks for a visible light communication system , 2018, 2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA).

[24]  Vijay K. Mago,et al.  Challenging the Boundaries of Unsupervised Learning for Semantic Similarity , 2019, IEEE Access.

[25]  Phillip W. Lord,et al.  Semantic Similarity in Biomedical Ontologies , 2009, PLoS Comput. Biol..

[26]  Marc Ehrig,et al.  Measuring Similarity between Semantic Business Process Models , 2007, APCCM.

[27]  Ana M. García-Serrano,et al.  A novel family of IC-based similarity measures with a detailed experimental survey on WordNet , 2015, Eng. Appl. Artif. Intell..

[28]  Remco M. Dijkman,et al.  Similarity of business process models: Metrics and evaluation , 2011, Inf. Syst..

[29]  Imran Khan,et al.  Evaluation of linguistic similarity measurement techniques for ontology alignment , 2015, 2015 International Conference on Emerging Technologies (ICET).

[30]  Bridget T. McInnes,et al.  Association measures for estimating semantic similarity and relatedness between biomedical concepts , 2019, Artif. Intell. Medicine.

[31]  Jorge S. Cardoso,et al.  Measuring the Compliance of Processes with Reference Models , 2009, OTM Conferences.

[32]  Vladimir I. Levenshtein,et al.  Binary codes capable of correcting deletions, insertions, and reversals , 1965 .

[33]  Jianmin Wang,et al.  A workflow net similarity measure based on transition adjacency relations , 2010, Comput. Ind..

[34]  Ling Liu,et al.  Process Mining by Measuring Process Block Similarity , 2006, Business Process Management Workshops.

[35]  Pasi Fränti,et al.  Framework for syntactic string similarity measures , 2019, Expert Syst. Appl..

[36]  Miguel Alfaro,et al.  Chaotic Genetic Algorithm and The Effects of Entropy in Performance Optimization , 2019, Chaos.

[37]  Andreas Wombacher,et al.  Piloting an Empirical Study on Measures forWorkflow Similarity , 2006, 2006 IEEE International Conference on Services Computing (SCC'06).