scholarly journals Case-based Reasoning of Damaged Ancient Buildings based on Ontology

2020 ◽  
Vol 165 ◽  
pp. 04007
Author(s):  
Ru Wang ◽  
Wei Chen
Keyword(s):  
Building Damage ◽  
Case Based Reasoning ◽  
Knowledge Reuse ◽  
Case Representation ◽  
Information Interaction ◽  
Knowledge Expression ◽  
Implementation Method ◽  
Definition Of ◽  
Case Reasoning ◽  
Case Based

At present, China has a large number of ancient buildings, and correspondingly, it also faces many problems. Staff of different professions have inconsistent perceptions of ancient buildings, resulting in inability to interact with information. In addition, the ancient architecture case did not carry out efficient reuse of knowledge. Therefore, this article applies ontology to the field of ancient architecture, and proposes the knowledge expression of ancient architecture based on ontology. And SWRL is used to describe the ancient building rules. Secondly, through the application of case-reasoning technology, the reuse of case knowledge of ancient architecture is realized. Ontology-based case representation can provide a unified definition of ancient building knowledge for different participants and lay the foundation for information interaction. Case-based reasoning provides an implementation method for knowledge reuse of ancient building damage cases.

Case Representation and Organization Studies on Case-Based Reasoning Maintenance Resources Requirement Analysis

2013 ◽  
Vol 389 ◽  
pp. 698-702
Author(s):  
Xiao Chen ◽  
Ling Chen ◽  
Wo Ye Liu ◽  
Fei Han
Keyword(s):  
Prototype System ◽  
Case Based Reasoning ◽  
Requirement Analysis ◽  
Organization Studies ◽  
Case Representation ◽  
Relation Database ◽  
Analysis Process ◽  
System Perfection ◽  
Analysis System ◽  
Case Based

To improve the efficiency of planning maintenance resources requirement, the artificial intelligent (AI) technology, especially Case-Based Reasoning (CBR) is applied into maintenance resources requirement analysis process, the process is introduced, and the critical techniques of which, such as case representation and organization etc, are discussed in detail, according to the case characteristics, analyzed the cases main ingredient, cases representation and organization which is based on Relation Database and Object Oriented are detailed discussed, the development of case-based maintenance resources requirement analysis prototype system proved the validity of the technique, formed the foundation for the case-based maintenance resources requirement analysis system perfection.

scholarly journals Collaborative Case-Based Reasoning for Knowledge Discovery of Elders Health Assessment System

2014 ◽  
Vol 8 (1) ◽  
pp. 68-74 ◽  
Author(s):  
Ping Hu ◽  
Dong-xiao Gu ◽  
Yu Zhu
Keyword(s):  
Single Case ◽  
Health Assessment ◽  
Assessment System ◽  
Gray Relational Analysis ◽  
Retrieval Algorithm ◽  
Case Based Reasoning ◽  
Knowledge Reuse ◽  
Case Retrieval ◽  
Case Library ◽  
Case Representation

The existing Elders Health Assessment (EHA) system based on single-case-library reasoning has low intelligence level, poor coordination, and limited capabilities of assessment decision support. To effectively support knowledge reuse of EHA system, this paper proposes collaborative case reasoning and applies it to the whole knowledge reuse process of EHA system. It proposes a multi-case library reasoning application framework of EHA knowledge reuse system, and studies key techniques such as case representation, case retrieval algorithm, case optimization and correction, and reuse etc.. In the aspect of case representation, XML-based multi-case representation for case organization and storage is applied to facilitate case retrieval and management. In the aspect of retrieval method, Knowledge-Guided Approach with Nearest-Neighbor is proposed. Given the complexity of EHA, Gray Relational Analysis with weighted Euclidean Distance is used to measure the similarity so as to improve case retrieval accuracy.

A Case Representation and Similarity Measurement Model with Experience-Grounded Semantics

2020 ◽  
Vol 30 (01) ◽  
pp. 119-146
Author(s):  
Nady Slam ◽  
Wushour Slamu ◽  
Pei Wang
Keyword(s):  
Semantic Similarity ◽  
Measurement Model ◽  
Similarity Measurement ◽  
Case Based Reasoning ◽  
Case Representation ◽  
Proposed Model ◽  
Semantic Similarity Measurement ◽  
Intelligent Decision Support ◽  
Grounded Semantics ◽  
Case Based

Case-based reasoning heavily depends on the structure and content of the cases, and semantics is essential to effectively represent cases. In the field of structured case representation, most of the works regarding case representation and measurement of semantic similarity between cases are based on model-theoretic semantics and their extensions. The purpose of this study is to explore the potential of experienced-grounded semantics in case representation and semantic similarity measurement. The main contents in this study are as follows: (i) a case representation model based on experience-grounded semantic is proposed, (ii) a novel semantic similarity measurement method with multi-strategy reasoning is introduced, and (iii) a case-based reasoning software for urban firefighting field based on the proposed model is designed and implemented. Theoretically, compared with traditional structured case representation methods, the proposed model not only represents case in a fully formalized way, but also provides a novel metric for computing the strength of the semantic relationship between cases. The proposed model has been applied in an intelligent decision-support software for urban firefighting.

scholarly journals An Associated Representation Method for Defining Agricultural Cases in a Case-Based Reasoning System for Fast Case Retrieval

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5118 ◽  
Author(s):  
Zhai ◽  
Martínez Ortega ◽  
Beltran ◽  
Lucas Martínez
Keyword(s):  
Intelligent Systems ◽  
Case Based Reasoning ◽  
Case Retrieval ◽  
Traditional Methods ◽  
Case Representation ◽  
Reasoning System ◽  
Case Base ◽  
Representation Method ◽  
Associated Representation ◽  
Case Based

As an artificial intelligence technique, case-based reasoning has considerable potential to build intelligent systems for smart agriculture, providing farmers with advice about farming operation management. A proper case representation method plays a crucial role in case-based reasoning systems. Some methods like textual, attribute-value pair, and ontological representations have been well explored by researchers. However, these methods may lead to inefficient case retrieval when a large volume of data is stored in the case base. Thus, an associated representation method is proposed in this paper for fast case retrieval. Each case is interconnected with several similar and dissimilar ones. Once a new case is reported, its features are compared with historical data by similarity measurements for identifying a relative similar past case. The similarity of associated cases is measured preferentially, instead of comparing all the cases in the case base. Experiments on case retrieval were performed between the associated case representation and traditional methods, following two criteria: the number of visited cases and retrieval accuracy. The result demonstrates that our proposal enables fast case retrieval with promising accuracy by visiting fewer past cases. In conclusion, the associated case representation method outperforms traditional methods in the aspect of retrieval efficiency.

Soft case-based reasoning

2005 ◽  
Vol 20 (3) ◽  
pp. 267-269 ◽  
Author(s):  
WILLIAM CHEETHAM ◽  
SIMON SHIU ◽  
ROSINA O. WEBER
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Soft Computing ◽  
Network Theory ◽  
Probabilistic Reasoning ◽  
Case Based Reasoning ◽  
Case Representation ◽  
Soft Computing Techniques ◽  
Neural Network Theory ◽  
Case Based

The aim of this commentary is to discuss the contribution of soft computing—a consortium of fuzzy logic, neural network theory, evolutionary computing, and probabilistic reasoning—to the development of case-based reasoning (CBR) systems. We will describe how soft computing has been used in case representation, retrieval, adaptation, reuse, and case-base maintenance, and then present a brief summary of six CBR applications that use soft computing techniques.

Intelligent Technique for Knowledge Reuse of Dental Medical Records Based on Case-Based Reasoning

2008 ◽  
Vol 34 (2) ◽  
pp. 213-222 ◽  
Author(s):  
Dong-xiao Gu ◽  
Chang-yong Liang ◽  
Xing-guo Li ◽  
Shan-lin Yang ◽  
Pei Zhang
Keyword(s):  
Medical Records ◽  
Case Based Reasoning ◽  
Knowledge Reuse ◽  
Intelligent Technique ◽  
Case Based

Study on Case-Based Reasoning Decision-Making Model

2013 ◽  
Vol 421 ◽  
pp. 636-641
Author(s):  
Yan Sun ◽  
Guang Wei Wang ◽  
Xin Hua He
Keyword(s):  
Decision Model ◽  
Feature Vector ◽  
Matrix Representation ◽  
Case Based Reasoning ◽  
Retrieval Method ◽  
Rule Based ◽  
Case Representation ◽  
Decision Making Model ◽  
Reasoning Mechanism ◽  
Case Based

Beginning with studying the characteristics of the war from a complex system, the limitations of rule-based reasoning approach was discussed, case-based reasoning to the integrated reasoning mechanism was supplemented. In accordance with epistemological, researched on case-based reasoning mechanism of integration and components of decision model, studied feature vector based case representation and matrix representation of non-isomorphic case set, presented a case retrieval method based on feature.

scholarly journals The Concept of Method of Detecting and Analyzing Construction Defects in Residential Buildings

2019 ◽  
Vol 65 (4) ◽  
pp. 81-95
Author(s):  
K. Zima ◽  
S. Biel
Keyword(s):  
Residential Buildings ◽  
Weighted Sums ◽  
Case Based Reasoning ◽  
Repair Cost ◽  
Defect Management ◽  
Criteria Weights ◽  
Definition Of ◽  
Global Similarity ◽  
Case Based ◽  
Construction Defects

AbstractThe authors developed the definition of construction defect and fault and construction defect management based on Polish and foreign publications. In order to assist identification of faults and their analysis in the process of home collection, the authors applied the Case Based Reasoning (CBR) method. In the paper, the authors used Case Based Reasoning (CBR) to support acceptance of apartments. The CBR method allows to determine the magnitude of global similarity for the problem under consideration between the new and old case from the Case Base, using weighted sums of local similarities using criteria weights as coefficients. As a result of CBR-based solutions, an Employer’s representative receives information about the type of construction defects that can be expected, their location and significance, occurrence frequency, and estimated repair cost.

Sign in / Sign up

Export Citation Format

Share Document