Analysis reuse exploiting taxonomical information and belief assignment in industrial problem solving

Jabrouni, Hicham; Kamsu-Foguem, Bernard; Geneste, Laurent; Vaysse, Christophe

doi:10.1016/j.compind.2013.07.004

Cited by 21 publications

(9 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This results in high uncertainties in the case adaptation processes due to the modification of retrieved cases that relies on the experience of domain experts (Reyes, Negny, Robles, & Lann, 2015). The uncertainties may affect the analysis quality due to imprecision and conflicts in human decision making (Jabrouni, Kamsu-Foguem, Geneste, & Vaysse, 2013). Moreover, Fuchs, Lieber, Mille, and Napoli (2014) also argued that there is no generic model for case adaptation due to the difficulty in acquiring the necessary knowledge.…”

Section: Literature Reviewmentioning

confidence: 99%

An adaptive clinical decision support system for serving the elderly with chronic diseases in healthcare industry

et al. 2019

View full text Add to dashboard Cite

With the increasing ageing population worldwide, providing effective nursing care planning in nursing homes is important in meeting the expectations of elderly patients and in streamlining the healthcare information process, hence maintaining high‐quality services. Instead of the traditional manual nursing care planning formulation based on expert experience and subjective judgement, this paper describes an adaptive decision support system, namely, the cloud‐based nursing care planning system, to enable decision making in formulating nursing care strategies. By integrating cloud computing technology and the case‐based reasoning (CBR) technique, medical records and documents pertaining to the elderly can be captured in real time, whereas appropriate treatment plans based on past similar treatment records can be formulated. However, the current case adaptation processes in CBR rely on domain experts to modify retrieved cases, which may not satisfy the needs of the elderly. Therefore, text mining is integrated in the case adaptation process of CBR for extracting up‐to‐date medical information from the Internet so that its efficiency can be improved. By conducting a pilot study in a nursing home, it was shown that the time for formulating applicable treatment plans for elderly patients can be reduced, and the service satisfaction level can be enhanced.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

An adaptive clinical decision support system for serving the elderly with chronic diseases in healthcare industry

et al. 2019

View full text Add to dashboard Cite

show abstract

“…In order to search knowledge in the KB, and similar past cases in the EB, a simplified system of tagging is used, using taxonomical similarity [20]. All process models capitalized in the KB are given with a set of tags concerning the type of process.…”

Section: B Search Of Past Cases In the Eb And/or General Knowledge Imentioning

confidence: 99%

Experience reuse to improve agility in knowledge-driven industrial processes

Llamas

Coudert

Geneste

et al. 2016

2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

View full text Add to dashboard Cite

Companies need to become more agile to survive to the unstable and highly changing marketplace. This can be achieved through the adaptation and control of their business processes. A process sufficiently structured but not over constrained by standards and based on experience feedback principles is necessary. This article describes a proposition of agile process driven by the reuse of experiences and knowledge. For this purpose, based on Case-Based Reasoning (CBR) principles, the complete lifecycle of an agile process is introduced, from requirements definition, retrieval, reuse, adaptation, and storage steps. Finally, an example applied to the domain of industrial problem solving is presented to illustrate the methodology.

show abstract

“…Semantic similarity measurement is improved by combining information content similarity and node distance similarity in ontology. Another interesting approach is the cognitive experience feedback framework (Jabrouni et al, 2011, 2013) used for exploitation of expert knowledge during problem solving processes. The authors used the conceptual graphs formalism (Sowa, 2000) for the semantic conceptualization of the domain vocabulary.…”

Section: Related Workmentioning

confidence: 99%

Analysis of semantic features in free-form objects reconstruction

Trifunović

Stojković

Trajanović

et al. 2015

AIEDAM

View full text Add to dashboard Cite

One of the biggest challenges associated with design and digital reconstruction of free forms comes from uniqueness and unrepeatability of these shapes. During digital reconstruction of these forms, the designer has to choose the right set of geometric features and then compose them in a way that will enable the most accurate reconstruction of the geometry. While doing this, the designer primarily relies on personal experience gained through work with free-form objects of similar geometry. In our opinion, the analysis of free-form objects geometry should rely upon semantic interpretation of their geometric and other features, and the greatest challenge of automation of digital reconstruction and free-form object design in general is closely related to automation of semantic interpretation of geometric and other free-form object features. In this paper, a case of chest bone implant digital reconstruction is presented, where a new semantic model called the active semantic model was used for modeling the meaning of geometric elements, that is, the semantic features of a free-form object. The active semantic model and its analogy-based reasoning algorithms have shown themselves as applicable for the automation of semantic interpretation of the unique, unrepeatable, and unpredictable forms of chest bone. Moreover, this semantic model showed the potential to help automate selecting and composing of geometric features for efficient digital reconstruction of the geometry of free forms.

show abstract

Analysis reuse exploiting taxonomical information and belief assignment in industrial problem solving

Cited by 21 publications

References 32 publications

An adaptive clinical decision support system for serving the elderly with chronic diseases in healthcare industry

An adaptive clinical decision support system for serving the elderly with chronic diseases in healthcare industry

Experience reuse to improve agility in knowledge-driven industrial processes

Analysis of semantic features in free-form objects reconstruction

Contact Info

Product

Resources

About