Publications

Displaying 1 - 8 of 8

Towards Novel Standard-Based Approach to Flexible Supply Chain Integration

November 13, 2024

Author(s)

Elena Jelisic, Boonserm Kulvatunyou, Nenad Ivezic, Hakju Oh

Today, global supply chains operate across different industries and different geo-political locations. As such, supply chain digitalization has to deal with diverse and incompatible formats, protocols, and structures of the Data Exchange Standards (DESes)

An Introduction to Machine Learning Lifecycle Ontology and its Applications

April 19, 2024

Author(s)

Milos Drobnjakovic, Perawit Charoenwut, Ana Nikolov, Hakju Oh, Boonserm Kulvatunyou

Machine Learning (ML) adoption is on the rapid rise, with a nearly 40% compound annual growth rate over the next decade. In other words, companies will be flooded with ML models developed with different datasets and software. The ability to have

Employing Word-Embedding for Schema Matching in Standard Lifecycle Management

December 29, 2023

Author(s)

Hakju Oh, Boonserm Kulvatunyou, Albert T. Jones, Tim Finin

Today, businesses rely on numerous information systems to achieve their production goals and improve their global competitiveness. Semantically integrating those systems is essential for businesses to achieve both. To do so, businesses must rely on

Business Context-Based Approach for Managing the Digitalization of Biopharmaceutical Supply Chain Operational Requirements

September 14, 2023

Author(s)

Elena Jelisic, Milos Drobnjakovic, Boonserm Kulvatunyou, Nenad Ivezic, Hakju Oh

The COVID-19 pandemic has brought to attention several supply chain challenges in the globalized biopharmaceutical industry. Demand fluctuations and the ability to effectively repurpose manufacturing facilities, and to dynamically adapt scheduling and

Knowledge representation for hierarchical and interconnected business contexts

February 19, 2023

Author(s)

Nenad Ivezic, Boonserm Kulvatunyou, Hakju Oh, Elena Jelisic, Scott Nieman, Anicic Nenad, Marjanovic Zoran

Although business context has been introduced as an important concept for message standards usage and maintenance, its usability depends on the tech-nique used to represent contextual knowledge. This paper proposes a logic-based business context modeling

A Novel Data Standards Platform using ISO Core Components Technical Specification

August 1, 2021

Author(s)

Nenad Ivezic, Boonserm Kulvatunyou, Elena Jelisic, Hakju Oh, Simon P. Frechette, Vijay Srinivasan

It is generally observed in inter-organizational communication that present-day data exchange standards are too costly and too complex to develop and use. These problems in data exchange are felt keenly by manufacturing industry with its vast supply chains

Towards inter-operable enterprise systems  graph-based validation of a context-driven approach for message profiling

September 1, 2020

Author(s)

Nenad Ivezic, Elena Jelisic, Boonserm Kulvatunyou, Scott Nieman, Hakju Oh, Zoran Marjanovic

Business context has a potential to become a powerful mechanism for interoperable usage and efficient maintenance of message standards. In the literature, there are multiple techniques for its representation and application. Industry use cases have

Standards-based Semantic Integration of Manufacturing Information: Past, Present, and Future

July 19, 2019

Author(s)

Boonserm Kulvatunyou, Nenad Ivezic, Hakju Oh, Scott Nieman

With increasing use of the Industrial Internet of Things, including smart sensors, smart devices, smart machines, and software services, standards are playing increasingly important role to reduce risks associated with investments in these devices. This

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