Nenad Anicic

Dr. Nenad Anicic

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Dr. Nenad Anicic


Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 June 2024 in Knowledge and Information Systems
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Journal Article
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NANursultan Askarbekuly
Nursultan Askarbekuly
NANenad Aničić
Nenad Aničić

9 July 2016 in Information Systems and e-Business Management
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Journal Article
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MPMarko Petrović
Marko Petrović
MVMilica Vučković
Milica Vučković
NTNina Turajlić
Nina Turajlić
SBSlađan Babarogić
Slađan Babarogić
NANenad Aničić
Nenad Aničić
ZMZoran Marjanović
Zoran Marjanović

1 January 2015 in Computer Science and Information Systems
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Journal Article
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MJMarija Jankovic
Marija Jankovic
MLMiroslav Ljubicic
Miroslav Ljubicic
NANenad Anicic
Nenad Anicic
ZMZoran Marjanovic
Zoran Marjanovic
Business Process Modeling Notation (BPMN) is being adopted as one of the industry standards for modeling cross-organizational business processes (CBPs). BPMN analyzes a business process as a set of interrelated activities, focusing primarily on the functional perspective of the process. However, for successful CBP modeling, an informational perspective is important. Although BPMN 2.0 supports information flow design, existing representations of data/information elements are not sufficient to support CBP modeling requirements. In this light, the paper proposes an approach for formal modeling and specification of information requirements used and generated in the CBPs. A UML View Profile is introduced to specify information requirements as views over the common reference ontology. A BPMN 2.0 extension is introduced to connect the defined views and the corresponding process activities. Ultimately, the proposed information requirements specification enables generation of the message instance and its transformation at the implementation level.

1 January 2007 in International Journal of Manufacturing Technology and Management
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Journal Article
Closed access
NANenad Anicic
Nenad Anicic
ZMZoran Marjanovic
Zoran Marjanovic
NINenad Ivezic
Nenad Ivezic
AJAlbert Jones
Albert Jones
This paper investigates the potential of the Semantic Web technologies to support a semantic-based Enterprise Application Integration (EAI) standards architecture. We give detailed information of the support that these technologies and the underlying Description Logics (DL) formalism provide for the integration task. Our main aim is to assess the potential impact of these emerging technologies on industrial interoperability efforts. In addition to that effect, we plan to use this advanced EAI standards architecture as an experimental framework in which the Semantic Web technologies are evaluated on realistic enterprise integration problems. We illustrate novel capabilities beyond the existing syntactic integration approaches when managing multiple enterprise ontologies derived from a common ontology.

1 September 2019
Verified
Book Chapter
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EJElena Jelisic
Elena Jelisic
NINenad Ivezic
Nenad Ivezic
BKBoonserm Kulvatunyou
Boonserm Kulvatunyou
NANenad Anicic
Nenad Anicic
ZMZoran Marjanovic
Zoran Marjanovic

1 January 2005 in Computer Science and Information Systems
Verified
Journal Article
Open access
NANenad Anicic
Nenad Anicic
NINenad Ivezic
Nenad Ivezic
Large industrial interoperability projects use syntax-based Enterprise Application Integration standards, such as XML Schema, to accomplish interoperable data exchange among enterprise applications. In this paper, we describe an approach to assess the potential impact of Semantic Web technologies on these standards and on testability of integration results when using these standards. The experimental approach includes an automated translation of an XML Schema-based representation of business document content models into an OWL-based ontology. Based on this ontology, we use the Semantic Web representation and reasoning mechanisms to validate ontological constructs and constraints in support of data exchange. We demonstrate novel model-based integration capabilities that go beyond the existing syntax-based approaches. These new capabilities are relevant when managing multiple enterprise ontologies derived from a common ontology.