Situation-based message rating in information logistics and its applicability in collaboration scenarios

Meissen, Ulrich; Pfennigschmidt, Stefan; Wahnfried, T.; Sandkuhl, Kurt

doi:10.1109/eurmic.2004.1333410

Cited by 8 publications

(3 citation statements)

References 11 publications

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“…and so forth. The only sub-topic that contains multiple papers are supply chain management with 3 papers [62] [64] [35] but other areas include military decision making [71], insurance industry case studies [68] electricity markets [91], information overload [60], petroleum reservoir development [84], smart grids [81] and identifying relevant content in social media [74]. Several of these papers are based on VoI measures discussed above and do not contribute anything unique their domain application.…”

Section: ) Decision Making and Other Applicationsmentioning

confidence: 99%

A Systematic Survey of Data Value: Models, Metrics, Applications and Research Challenges

Bendechache,

Attard,

Ebiele

et al. 2023

IEEE Access

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Data is central to modern decision making and value creation. Society creates, consumes and collects data at an increasing pace. Despite advances in processing power, data is expensive to maintain and curate. So, it is imperative to have methods and tools to distinguish between data based on its value. Yet, there is no consensus on what characterises the value of data or how this data value should be assessed. This results in heterogeneous data value models and inconsistent measurement techniques that are siloed in specific application domains. This limits the formalisation and exploitation of these concepts. We present in this paper a methodical literature analysis that discusses data value models, assessment metrics and current applications. We also highlight challenges hindering the development and exploitation of data value as concept. This leads to the identification of a set of research questions to help researchers contribute to this emerging field. The aim of this article is to stimulate further research and deployment of quantitative data value models and value-driven applications.

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Section: ) Decision Making and Other Applicationsmentioning

confidence: 99%

A Systematic Survey of Data Value: Models, Metrics, Applications and Research Challenges

Bendechache,

Attard,

Ebiele

et al. 2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The problem of calculating the time of alert for a relevant message: This includes considerations about utility and acceptance of messages in different situations which means modeling suitability and disturbing effects of messages. The concept of situation-based message rating [13] is applicable at this point though its actual application is not presented here. The problem of deriving messages, that are comprehensible for the user: This means to identify and extract key information in order to create and issue appropriate warning messages.…”

Section: An Approach To Support Situation-awarenessmentioning

confidence: 99%

Resolving knowledge discrepancies in situation‐aware systems

Meissen

Pfennigschmidt²,

Voisard³

et al. 2005

International Journal of Pervasive Computing and Communications

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Demand-orientation is of crucial importance in mobile and pervasive information services in order to ensure the delivery of the right information at the right time and at the right place. In the past years, increasing attention has been devoted to the notion of personalized services that take the situation of the user into account. The trade-off is to ensure appropriate information supply while preventing information overload. Comparing situations predicted by the system with the expectations of a user yields information about "so-farunexpected" changes the user should be informed about. This paper describes an approach to identify and to resolve these knowledge discrepancies by informing the user about them in order to support his or her situation-awareness. Our approach is illustrated in two applications.

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“…The concept of situation-based message rating [13] is applicable at this point though its actual application is not presented here.…”

Section: Situation-awarenessmentioning

confidence: 99%

Matching system knowledge and user expectations in situation-aware systems

Meissen

Pfennigschmidt

Voisard

et al.

ICPS '05. Proceedings. International Conference on Pervasive Services, 2005.

Self Cite

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Demand-orientation is of crucial importance in mobile and pervasive information services in right place. Increasing attention has been devoted to the notion of personalized services that take the situation of the user into account. The trade-off is to ensure appropriate information supply while preventing information overload. Comparing situations predicted by the system with the expectations of a user yields information about "so-far unexpected" changes the user should be informed about. This paper describes an approach to support situation-awareness and introduces an underlying model that additionally handles information from various sources. Our approach is illustrated in a driving assistance application

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Situation-based message rating in information logistics and its applicability in collaboration scenarios

Cited by 8 publications

References 11 publications

A Systematic Survey of Data Value: Models, Metrics, Applications and Research Challenges

A Systematic Survey of Data Value: Models, Metrics, Applications and Research Challenges

Resolving knowledge discrepancies in situation‐aware systems

Matching system knowledge and user expectations in situation-aware systems

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