An epistemological framework for medical knowledge-based systems

Ramoni, Marco; Stefanelli, Mario; Magnani, Lorenzo; Barosi, Giovanni

doi:10.1109/21.199462

Cited by 118 publications

(51 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…On the other hand, knowledge base systems are becoming more and more popular for management and share of knowledge in many industries. Knowledge representation is the core of knowledge bases and ontology is just good at knowledge representation and inferring, so ontology-based knowledge base systems also become research focus [10]- [12]. Inferring with knowledge is their motivation.…”

Section: Introductionmentioning

confidence: 99%

Artificial Transportation System constrution based on ontology-based knowledge base systems

Chen

Zhu

2012

Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, and Informatics

View full text Add to dashboard Cite

Artificial Transportation Systems (A TS) provide a comprehensive perspective to study actual transportation systems, which are a kind of open and complex giant system referring to diverse engineering and social disciplines. To make use of achievements from related research fields, ontology for ATS is constructed in this paper. Besides conceptual model involved in modeling and applications of ATS, the compatibility with other ontology is considered. Further, an ontological knowledge base with SOA (Service-Oriented Architecture) is designed to manage information and knowledge in ATS. The architecture and interfaces of the knowledge base are presented. Benefit from this, construction and applications of ATS can be conducted on a uniform information and knowledge platform. A case study about traffic jam pattern is demonstrated.

show abstract

Section: Introductionmentioning

confidence: 99%

Artificial Transportation System constrution based on ontology-based knowledge base systems

Chen

Zhu

2012

Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, and Informatics

View full text Add to dashboard Cite

show abstract

“…Our approach is based on a general epistemological model of scientific discovery process that provides a well-founded framework for integrating experimental data with preexisting knowledge and with automated inference tools. The model, called Select and Test Model (ST-Model) [21,22], was initially developed in the field of Artificial Intelligence in Medicine to support the design and implementation of expert systems. We will show that the ST-Model can be instantiated to guide the development of KB-DSS for high-throughput biomedical research.…”

Section: Introductionmentioning

confidence: 99%

An automated reasoning framework for translational research

Riva¹,

Nuzzo²,

Stefanelli³

et al. 2010

Journal of Biomedical Informatics

View full text Add to dashboard Cite

In this paper we propose a novel approach to the design and implementation of knowledge-based decision support systems for translational research, specifically tailored to the analysis and interpretation of data from high-throughput experiments. Our approach is based on a general epistemological model of the scientific discovery process that provides a well-founded framework for integrating experimental data with preexisting knowledge and with automated inference tools. In order to demonstrate the usefulness and power of the proposed framework, we present its application to Genome-Wide Association Studies, and we use it to reproduce a portion of the initial analysis performed on the well-known WTCCC dataset. Finally, we describe a computational system we are developing, aimed at assisting translational research. The system, based on the proposed model, will be able to automatically plan and perform knowledge discovery steps, to keep track of the inferences performed, and to explain the obtained results.

show abstract

“…In the same vein, Ramoni et al (45) have argued that the development of real world MKBSs requires a fine epistemological analysis of the medical tasks and reasoning involved. This analysis is useful for two different reasons: 1) to provide a framework for acquiring and modeling knowledge and 2) to facilitate sharing and reuse.…”

Section: Introductionmentioning

confidence: 99%

Effective Domain-Dependent Reuse in Medical Knowledge Bases

Dojat

1995

Computers and Biomedical Research

View full text Add to dashboard Cite

An epistemological framework for medical knowledge-based systems

Cited by 118 publications

References 58 publications

Artificial Transportation System constrution based on ontology-based knowledge base systems

Artificial Transportation System constrution based on ontology-based knowledge base systems

An automated reasoning framework for translational research

Effective Domain-Dependent Reuse in Medical Knowledge Bases

Contact Info

Product

Resources

About