Semantics enactment for interoperability assessment in enterprise information systems

Yahia, Esma; Lezoche, Mario; Aubry, Alexis; Panetto, Hervé

doi:10.1016/j.arcontrol.2012.03.008

Cited by 13 publications

(17 citation statements)

References 19 publications

(21 reference statements)

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“…A lot of maturity models for interoperability assessment are available [5][6][7][8][9][10][11][12][13][14][15][16][17]. The second category of contributions included quantitative and qualitative assessment means [18][19][20][21][22][23]. These contributions are confronted to needs previously expressed on Tables 2, 3 and 4.…”

Section: Assessment Means: Discussion and Synthesismentioning

confidence: 99%

Customizable Interoperability Assessment Methodology to support technical processes deployment in large companies

Cornu¹,

Chapurlat²,

Quiot³

et al. 2012

Annual Reviews in Control

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Increasing competition on markets induces a vital need for companies to improve their efficiency and reactivity. For this, a solution is to deploy, improve and manage their processes while paying a special attention on the abilities of the resources those involve. Particularly, the interoperability of the latter is considered in this article as a challenge conditioning the success of the deployment. Consequently, this paper presents a methodology to assess interoperability of people, material resources and organisation units involved or that could be involved in a process, all along the deployment effort. This methodology is usable for prevention, detection and correction of interoperability problems.

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Section: Assessment Means: Discussion and Synthesismentioning

confidence: 99%

Customizable Interoperability Assessment Methodology to support technical processes deployment in large companies

Cornu¹,

Chapurlat²,

Quiot³

et al. 2012

Annual Reviews in Control

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“…Based on the work of [4], measuring effectiveness of semantic relations is calculated by splitting the number (Nbr) of semantic relations by the total number (NbrT) of semantic relations. Therefore, we note the measurement of effectiveness of semantic relations Eff RelSem by the formula (1):…”

Section: B Measuring Effectivenessmentioning

confidence: 99%

Measures for the Ontological Relations in Enterprise

Tayeb¹,

Noureddine²

2017

IJMECS

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Abstract-In order to improve a system performance, it is significant to estimate the exchange rate of relationships between components of the system, in particular when the considered system is production or service companies. Indeed, bad and inappropriate relationships can generate dysfunctions, slowdowns or, more generally, loss of performance in enterprise leading to a decline in growth and competitiveness.Because of the heterogeneity of information and data, it is necessary to modeling relationships and ontologies are currently among the most evoked models in knowledge engineering. The aim is to define structured vocabularies, bringing together useful concepts of a domain and their relationships thus serving to organize, exchange information in an unambiguous way. Ontologies are widely applied to ensure semantic interoperability describing the enterprise structure and the exchange rate of existing relationships can be valued through their degree of effectiveness. This paper presents measures for the ontological relations in the enterprise. Our approach aims first to extract the set of relationships from an ontology previously created, then classify these relations, according to two types giving a weighting to calculate their degree of effectiveness. The implementation process is proposed on the local enterprise of steel wire drawing processing, giving degree of effectiveness for existing relationships. A sensitivity analysis is done to compare and interpret the different results.

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“…The concept of "semantic block" is adopted from the research of (Yahia et al, 2012), in which, it represents a kind of aggregation of semantics. In their research, a semantic block is composed by a minimal number of mandatory concepts that are needed to express the full semantics of an appointed concept.…”

Section: Proposed Solutionmentioning

confidence: 99%

Formal Semantic Annotations for Models Interoperability in a PLM environment

Liao¹,

Lezoche²,

Panetto³

et al. 2014

IFAC Proceedings Volumes

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Nowadays, the need for system interoperability in or across enterprises has become more and more ubiquitous. Lots of research works have been carried out in the information exchange, transformation, discovery and reuse. One of the main challenges in these researches is to overcome the semantic heterogeneity between enterprise applications along the lifecycle of a product. As a possible solution to assist the semantic interoperability, semantic annotation has gained more and more attentions and is widely used in different domains. In this paper, based on the investigation of the context and the related works, we identify some existing drawbacks and propose a formal semantic annotation approach to support the semantics enrichment of models in a PLM environment.

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Semantics enactment for interoperability assessment in enterprise information systems

Cited by 13 publications

References 19 publications

Customizable Interoperability Assessment Methodology to support technical processes deployment in large companies

Customizable Interoperability Assessment Methodology to support technical processes deployment in large companies

Measures for the Ontological Relations in Enterprise

Formal Semantic Annotations for Models Interoperability in a PLM environment

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