IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Semantically Enhanced Business Process Modeling Notation

Semantically Enhanced Business Process Modeling Notation
View Sample PDF
Author(s): Witold Abramowicz (Poznan University of Economics, Poland), Agata Filipowska (Poznan University of Economics, Poland), Monika Kaczmarek (Poznan University of Economics, Poland)and Tomasz Kaczmarek (Poznan University of Economics, Poland)
Copyright: 2012
Pages: 17
Source title: Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications
Source Author(s)/Editor(s): Stefan Smolnik (European Business School (EBS), Germany), Frank Teuteberg (University Osnabrueck, Germany)and Oliver Thomas (Saarland University, Germany)
DOI: 10.4018/978-1-60960-126-3.ch013

Purchase

View Semantically Enhanced Business Process Modeling Notation on the publisher's website for pricing and purchasing information.

Abstract

Semantic Business Process Management (SBPM) bridges the gap between business and IT by taking advantage of the Semantic Web technologies. The foundation for SBPM is the detailed ontological description of enterprise models. These models encompass also business processes taking place in enterprises. Within this chapter, we show how the process-oriented knowledge may be captured for the needs of SBPM. For this reason, we describe semantically enhanced Business Process Modeling Notation (sBPMN) being a conceptualization of one of the main process modeling notations with the fast growing popularity among the tool vendors, namely BPMN. The sBPMN ontology is based on the BPMN specification and may be used as a serialization format by the BPMN modeling tools, thus, making creation of annotations invisible to users. In this chapter, we also present an example of a process model description.

Related Content

R. Sundar, P. Balaji Srikaanth, Darshana A. Naik, V. P. Murugan, Madhavi Karumudi, Sampath Boopathi. © 2024. 26 pages.
Kamalendu Pal. © 2024. 26 pages.
Hayder Luis Endo Pérez, Amed Abel Leiva Mederos, José Antonio Senso-Ruíz, Ghislain Auguste Atemezing, Daniel Gálvez Lio, Jose Luis Sánchez-Chávez, Alfredo Simón Cueva. © 2024. 13 pages.
Graveth Uzoma Ejekwu, Samson Ajodo, O. Mashood Lawal, Oluwafemi S. Balogun. © 2024. 20 pages.
Marwa Ben Arab, Mouna Rekik, Lotfi Krichen. © 2024. 18 pages.
J. Vimala Devi, Rajesh Vyankatesh Argiddi, P. Renuka, K. Janagi, B. S. Hari, S. Boopathi. © 2024. 24 pages.
Marius Iulian Mihailescu, Stefania Loredana Nita. © 2024. 45 pages.
Body Bottom