A framework to evaluate the interoperability of information systems – Measuring the maturity of the business process alignment

Liu, Chengxi; Li, Weizi; Aljohani, Naif Radi; Lytras, Miltiadis D.; Hassan, Saeed‐Ul; Nawaz, Raheel

doi:10.1016/j.ijinfomgt.2020.102153

Cited by 14 publications

(7 citation statements)

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“…In the work of [14], the authors have defined a framework that is similar to the three lower layers of the EIF and adds the human factor of interoperability (informal interoperability). The latter is particularly interesting because of its impact in a wide ecosystem where the change resistance level, for instance, plays a massive role in the success of an interoperability project.…”

Section: Technical Interoperabilitymentioning

confidence: 99%

“…For [14], interoperability is classified into three categories: informal, formal and technical. Formal interoperability is related to human aspects, such as tradition or change acceptance.…”

Section: Preliminary Study Of the Target Ecosystemmentioning

confidence: 99%

“…Considering the industrial scope that this paper is aiming for (industrial asset data collection), semantic interoperability is only limited to the understanding of machine variables throughout the plant floor from the enterprise's data scientists and is often linked to the technical level. Therefore, similarly to [14], we have decided to merge the technical and semantic levels.…”

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confidence: 99%

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Evaluation Methodology of Interoperability for the Industrial Domain: Standardization vs. Mediation

et al. 2023

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With the arrival of Industry 4.0, interoperability has become a major subject for companies worldwide. It is a crucial asset that enables new technologies and possibilities (Industrial Internet of Things, predictive maintenance or traceability solutions). With the increasing importance of data in business use cases, companies are faced with a choice between two interoperability approaches to deal with the challenge of reconciling different domains: standardization and mediation. This paper presents an analysis of each approach and proposes a decision-making methodology based on the Analytic Hierarchy Process (AHP) that aims to help companies in choosing the most suitable solution to resolve interoperability challenges.

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Section: Technical Interoperabilitymentioning

confidence: 99%

Section: Preliminary Study Of the Target Ecosystemmentioning

confidence: 99%

mentioning

confidence: 99%

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Evaluation Methodology of Interoperability for the Industrial Domain: Standardization vs. Mediation

et al. 2023

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“…Indeed, as the process of data migration involves multiple data source the implementation of interoperability is in most cases non-trivial since heterogeneity is quite present [6]. For this purpose, to address these issues, interoperability implementation can be done at data level [7] by setting up schemas matching [8] or mapping [9] in order to identify potential relationships between systems where schemas can be XML files [10,11], databases [12,13], metamodels [14,15] or ontologies [16,17] and so on [18]. In other words, systems are presented as source and target and evoke heterogeneous data models developed independently in different contexts with multiple levels of abstraction, understanding and representation, the objective is then to create the connections between these systems [19].…”

Section: Introductionmentioning

confidence: 99%

A general approach for of schema matching problem: case of databases

Labreche

Lorca

Montarnal

et al. 2022

Preprint

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The problem of schema matching is one of the main tasks in several processes dealing with databases, data transformation and data integration. Schema matching involves the generation and linking of heterogeneous schemas. This heterogeneity makes the implementation of a solution difficult and the sources of heterogeneity are multiple. The need for a methodology that can adapt to the largest number of points of variation is necessary. In this paper, we propose a flexible, global and generic approach to meet this need where the main idea is to exploit as much information available in the schemas and this through the implementation of federated interoperability that allows the interpretation of information on the fly. To this end, the approach uses graph theory, more specifically hypergraphs and optimization models for the modelling of schemas and the automation of the solution of the schema matching problem by converting it into a graph matching problem. Our contributions include the proposal of an optimization model to add specific constraints to the schema matching problem, as well as the propagation algorithms to propagate the matching relationships between the source and target schemas. The approach is finally evaluated on two use cases, one academic and one industrial.

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“…These principles could be applied also to other digital objects, e.g. algorithms, tools, and workflows, that led to that data, as all these elements must be available to ensure transparency, reproducibility and reusability [18,19].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Group Decision-Making Approach Considering Uncertainty Conditions

Borissova

Dimitrova

2021

Bus. Inf. Sys.

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The management of business information processes needs effective decision-making models. That means to involve different methods, techniques, and principles to improve competitiveness and to achieve the planned business results. In this context, the article deals with the problem of group decision-making under uncertain conditions. To cope with such problems some well-known optimization strategies of Wald, Laplace, Hurwitz, and Savage are modified to take into account the experts’ opinions with different importance when forming the final group decision. Numerical testing is based on a case study for CRM software selection. The results are discussed based on the proposed models under two different cases derived from the case study. The conducted numerical testing of the proposed models demonstrates their applicability to cope simultaneously with multiple experts’ evaluations and uncertainty conditions.

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A framework to evaluate the interoperability of information systems – Measuring the maturity of the business process alignment

Cited by 14 publications

References 50 publications

Evaluation Methodology of Interoperability for the Industrial Domain: Standardization vs. Mediation

Evaluation Methodology of Interoperability for the Industrial Domain: Standardization vs. Mediation

A general approach for of schema matching problem: case of databases

An Integrated Group Decision-Making Approach Considering Uncertainty Conditions

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