2014
DOI: 10.1007/978-3-642-55355-4_4
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Assessing Pragmatic Interoperability of Information Systems from a Semiotic Perspective

Abstract: Part 1: Organizational Semiotics: Theory and ConceptsInternational audienceMost of studies on interoperability of systems integration focus on technical and semantic levels, but hardly extend investigations on pragmatic level. Our past work has addressed pragmatic interoperability, which is concerned with the relationship between signs and the potential behaviour and intention of responsible agents. We also define the pragmatic interoperability as a level concerning with the aggregation and optimisation of var… Show more

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Cited by 8 publications
(5 citation statements)
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“…the primordial soup (Chaos in Cynefin). 3 Semiotically the primordial soup is the confluence of all qualities regarded as aspects of signs present to the mind for a process of interpretation that ends with a response. In actual practice habits take a shortcut to a response, the semiotic analysis explicates what we assume to be involved in those habits of interpretation.…”
Section: Figmentioning
confidence: 99%
See 1 more Smart Citation
“…the primordial soup (Chaos in Cynefin). 3 Semiotically the primordial soup is the confluence of all qualities regarded as aspects of signs present to the mind for a process of interpretation that ends with a response. In actual practice habits take a shortcut to a response, the semiotic analysis explicates what we assume to be involved in those habits of interpretation.…”
Section: Figmentioning
confidence: 99%
“…Liu, Li and Liu following Stampers semiotic framework state that we have semiotic interoperability if signs among systems are successfully communicated in all the six levels Stamper distinguishes. Thus, every sign aspect is covered [3], [4]. Their interest concentrates on five of the six levels: physical world, empirics and syntactics, taken together under the label 'technical', semantic and pragmatic interoperability.…”
Section: Introductionmentioning
confidence: 99%
“…However, RS in e-learning can benefit from multi-attribute CF algorithms as they are capable of parameterizing multiple rating data captured from numerous online portals [38]. But the multi-attribute CF is biased towards clustering users and resources and ignores the dissimilar characteristics of alike users which eventually lead to recommendation deviation [32].…”
Section: Content Based Filtering (Cbf)mentioning
confidence: 99%
“…Our past survey investigated the most widely used interoperability evaluation frameworks, and found out most of them have achieved up to semantic level, but hardly discussed the pragmatic interoperability. Thus we defined the pragmatic interoperability in our semiotic interoperability framework, and developed an assessment method for measuring it [22].…”
Section: A Data and Semantic Interoperabilitymentioning
confidence: 99%