Temporal Knowledge Acquisition from Multiple Experters
نویسندگان
چکیده
The paper deals with the research in the area of knowledge acquisition from multiple experts when knowledge includes temporal component. The expert’s ranking refinement technique is presented which is based on of the most supported opinion among all the experts. Paper answers to the following questions: how to derive the most supported knowledge from the multiple experts about the unknown temporal relation between the two events; how to make quality evaluation of the most supported opinion; how to make syntactical analysis of the most supported opinion to make necessary corrections; how to make, evaluate, use and refine ranking of all the experts to improve the results.
منابع مشابه
Expanding Concept Mapping to Address Spatio-temporal Dimensionality
Concept mapping has been used in multiple research domains for a variety of purposes such as brainstorming, knowledge elicitation, student testing and evaluation. Our work has applied the technique with pilots, emergency managers, emergency responders, and image analysts. Indeed, concept mapping has proven to be valuable both as an end state to represent and in turn understand knowledge, as wel...
متن کاملThe Relation between Knowledge and Practice from Ibn Arabi and Imam Khomeini’s Viewpoints (with an Emphasis on the Differences of Acquisition Knowledge and Intuitive Knowledge)
Although the acquisition knowledge has preparing and introductory relation with regard to practice and is considered as its required condition, it lacks enough capability for definite guarantee of practice. Explicating the function of the acquisition knowledge achieved from different faculties of the soul and analyzing its position in principles and process of practice can to some extent explai...
متن کاملTemporal representation design principles: an assessment in the domain of liver transplantation
Time modeling is an important aspect of medical decision-support systems engineering. At the core of effective time modeling lies the challenge of proper knowledge representation design. In this paper, we focus on two important principles for effective time-modeling languages: (a) hybrid temporal representation, and (b) dynamic temporal abstraction. To explore the significance of these design p...
متن کاملTowards The Inductive Acquisition of Temporal Knowledge
A method is proposed for the inductive acquisition of temporal classification rules from large number of training instances. The method is designed for the incremental acquisition of uncertain rules. Refinement (specialization and generalization) operators for the temporal domain are given, and various heuristics in rule invocation and incremental rule generation are discussed. The method has p...
متن کاملML-TIPN: An Algorithm for Automated Acquisition of Domain Models based on Time Interval Petri Nets
Extended Petri Nets have been applied to artificial intelligence reasoning processes, in areas such as planning, uncertainty reasoning, knowledgebased intelligent systems, and qualitative simulation. Creating Petri Net domain models faces the same challenges that confront all knowledge-intensive AI performance systems: model specification, knowledge acquisition, and refinement. Thus, a fundamen...
متن کامل