A tool for the semantic annotation, validation and optimization of business process models

被引:7
|
作者
Di Martino, Beniamino [1 ,2 ,3 ,4 ]
Cante, Luigi Colucci [1 ]
Esposito, Antonio [1 ]
Graziano, Mariangela [1 ]
机构
[1] Univ Campania L Vanvitelli, Dept Engn, Aversa, Italy
[2] Asia Univ, Dept Comp Sci & Informat Engn, Taichung, Taiwan
[3] Univ Vienna, Dept Comp Sci, Vienna, Austria
[4] Univ Campania LVanvitelli, Dept Engn, I-81031 Aversa, Italy
来源
SOFTWARE-PRACTICE & EXPERIENCE | 2023年 / 53卷 / 05期
关键词
business process model notation; expert system; process validation; Semantic Web;
D O I
10.1002/spe.3184
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The adoption of the business process model notation for the description of internal workflows and procedures by both public administrations and private organizations is steadily growing, thanks to the simplicity of the standard and its consistent expressivity. However, the lack of semantic support from BPMN can pose important limitations to its efficient use, as ambiguities in task definitions and communications can lead to misinterpretations. Furthermore, there is the need to validate the BPMNs, to check their adherence to regulations, especially in public administration, and to verify their conformance to security and privacy constraints. In this work, we present SemPrAnn, a semantic annotation tool for BPMN that, exploiting domain ontologies and logical rules, provides the possibility to unambiguously identify concepts in workflows and to run inferential engines against them to enforce the rules. The manuscript presents the methodology applied for the implementation of the tool, the tool itself with its exposed functionalities, and a case study demonstrating its current capabilities.
引用
收藏
页码:1174 / 1195
页数:22
相关论文
共 50 条
  • [1] Process SEER: A Tool for Semantic Effect Annotation of Business Process Models
    Hinge, Kerry
    Ghose, Aditya
    Koliadis, George
    EDOC: 2009 IEEE INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING CONFERENCE, 2009, : 54 - 63
  • [2] A Methodology and Implementing Tool for Semantic Business Process Annotation
    Di Martino, Beniamino
    Esposito, Antonio
    Maisto, Salvatore Augusto
    Nacchia, Stefania
    ENTERPRISE, BUSINESS-PROCESS AND INFORMATION SYSTEMS MODELING, BPMDS 2016, 2016, 248 : 80 - 94
  • [3] Supporting Reuse of Business Process Models by Semantic Annotation
    Baumann, Fabian
    Hinkelmann, Knut
    Montecchiari, Devid
    ADVANCED INFORMATION SYSTEMS ENGINEERING WORKSHOPS, CAISE 2023 INTERNATIONAL WORKSHOPS, 2023, 482 : 29 - 35
  • [4] Semantic annotation framework to manage semantic heterogeneity of process models
    Lin, Yun
    Strasunskas, Darijus
    Hakkarainen, Sari
    Krogstie, John
    Solvberg, Arne
    ADVANCED INFORMATION SYSTEMS ENGINEERING, PROCEEDINGS, 2006, 4001 : 433 - 446
  • [5] Semantic Annotation of process Models for Facilitating process knowledge Management
    Lin, Yun
    Krogstie, John
    INTERNATIONAL JOURNAL OF INFORMATION SYSTEM MODELING AND DESIGN, 2010, 1 (03) : 45 - 67
  • [6] Goal annotation of process models for semantic enrichment of process knowledge
    Lin, Yun
    Solvberg, Arne
    ADVANCED INFORMATION SYSTEMS ENGINEERING, PROCEEDINGS, 2007, 4495 : 355 - +
  • [7] Semantic Lifting of Business Process Models
    De Nicola, Antonio
    Di Mascio, Tania
    Lezoche, Mario
    Taglino, Francesco
    EDOCW: 2008 12TH ENTERPRISE DISTRIBUTED OBJECT COMPUTING CONFERENCE WORKSHOPS, 2008, : 185 - 191
  • [8] Semantic Querying of Business Process Models
    Awad, Ahmed
    Polyvyanyy, Artem
    Weske, Mathias
    EDOC 2008: 12TH IEEE INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING, PROCEEDINGS, 2008, : 85 - 94
  • [9] User-friendly semantic annotation in Business Process Modeling
    Born, Matthias
    Doerr, Florian
    Weber, Ingo
    WEB INFORMATION SYSTEMS ENGINEERING - WISE 2007 WORKSHOPS, 2007, 4832 : 260 - 271
  • [10] Ontology-based semantic annotation for semantic interoperability of process models
    Lin, Yun
    Ding, Hao
    INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 1, PROCEEDINGS, 2006, : 162 - +