A shell for the construction of knowledge bases aimed at assessing the behaviour of RC buildings under seismic actions

2005 ◽  
pp. 281-287
Author(s):  
A. Padula
Keyword(s):  
Knowledge Bases ◽  
Rc Buildings ◽  
Construction Of Knowledge

scholarly journals From Manual to Intelligent: A Review of Input Data Preparation Methods for Geographic Modeling

2019 ◽  
Vol 8 (9) ◽  
pp. 376 ◽  
Author(s):  
Zhi-Wei Hou ◽  
Cheng-Zhi Qin ◽  
A-Xing Zhu ◽  
Peng Liang ◽  
Yi-Jie Wang ◽  
...  
Keyword(s):  
Service Composition ◽  
Input Data ◽  
Knowledge Bases ◽  
Future Research ◽  
Knowledge Representation And Reasoning ◽  
Data Preparation ◽  
Preparation Methods ◽  
Construction Of Knowledge ◽  
Task Oriented ◽  
Geographic Modeling

One of the key concerns in geographic modeling is the preparation of input data that are sufficient and appropriate for models. This requires considerable time, effort, and expertise since geographic models and their application contexts are complex and diverse. Moreover, both data and data pre-processing tools are multi-source, heterogeneous, and sometimes unavailable for a specific application context. The traditional method of manually preparing input data cannot effectively support geographic modeling, especially for complex integrated models and non-expert users. Therefore, effective methods are urgently needed that are not only able to prepare appropriate input data for models but are also easy to use. In this review paper, we first analyze the factors that influence data preparation and discuss the three corresponding key tasks that should be accomplished when developing input data preparation methods for geographic models. Then, existing input data preparation methods for geographic models are discussed through classifying into three categories: manual, (semi-)automatic, and intelligent (i.e., not only (semi-)automatic but also adaptive to application context) methods. Supported by the adoption of knowledge representation and reasoning techniques, the state-of-the-art methods in this field point to intelligent input data preparation for geographic models, which includes knowledge-supported discovery and chaining of data pre-processing functionalities, knowledge-driven (semi-)automatic workflow building (or service composition in the context of geographic web services) of data preprocessing, and artificial intelligent planning-based service composition as well as their parameter-settings. Lastly, we discuss the challenges and future research directions from the following aspects: Sharing and reusing of model data and workflows, integration of data discovery and processing functionalities, task-oriented input data preparation methods, and construction of knowledge bases for geographic modeling, all assisting with the development of an easy-to-use geographic modeling environment with intelligent input data preparation.

scholarly journals How to Keep a Knowledge Base Synchronized with Its Encyclopedia Source

2017 ◽  
Author(s):  
Jiaqing Liang ◽  
Sheng Zhang ◽  
Yanghua Xiao
Keyword(s):  
Knowledge Base ◽  
Knowledge Bases ◽  
System Model ◽  
Direct Solution ◽  
Core Component ◽  
Construction Of Knowledge ◽  
The Core ◽  
Real World Applications ◽  
Data Source ◽  
Update Frequency

Knowledge bases are playing an increasingly important role in many real-world applications. However, most of these knowledge bases tend to be outdated, which limits the utility of these knowledge bases. In this paper, we investigate how to keep the freshness of the knowledge base by synchronizing it with its data source (usually encyclopedia websites). A direct solution is revisiting the whole encyclopedia periodically and rerun the entire pipeline of the construction of knowledge base like most existing methods. However, this solution is wasteful and incurs massive overload of the network, which limits the update frequency and leads to knowledge obsolescence. To overcome the weakness, we propose a set of synchronization principles upon which we build an Update System for knowledge Base (USB) with an update frequency predictor of entities as the core component. We also design a set of effective features and realize the predictor. We conduct extensive experiments to justify the effectiveness of the proposed system, model, as well as the underlying principles. Finally, we deploy USB on a Chinese knowledge base to improve its freshness.

scholarly journals The revival of values and meanings of the teacher education: Reflexive-creative approach

2019 ◽  
Vol 14 (2) ◽  
pp. 266-277
Author(s):  
V. G. Ryndak ◽  
O. V. Saldaeva
Keyword(s):  
Teacher Education ◽  
Theoretical Analysis ◽  
Professional Education ◽  
Research Work ◽  
Objective Evaluation ◽  
Knowledge Bases ◽  
Future Teacher ◽  
Foreign Experience ◽  
Organisational Form ◽  
Construction Of Knowledge

The purpose of the article is to determine the values and meanings of a modern teacher in the national and foreign professional education. The results of the research work: the article provides the theoretical analysis and the analysis of the research results which allowed: to clarify the contents of the concept ‘creativity’, to define it as a significant side of every future teacher’s activity; to consider pedagogical values as norms; to determine the basis of creative interaction between a teacher and a future teacher; to determine the strategy of acquisition of both pedagogical values and meanings and methods of construction of knowledge bases on pedagogical disciplines; to identify the possibility of objective evaluation of the results of pedagogical education; to reveal that a lecture is the main organisational form of pedagogical education both in Russian and foreign experience. Conclusions and recommendations: the socio-pedagogical, group and personal pedagogical values of any future teacher are determined. Keywords: creativity, pedagogical education, reflection, sense, value.

scholarly journals Challenges in the construction of knowledge bases for human microbiome-disease associations

Microbiome ◽  
2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Varsha Dave Badal ◽  
Dustin Wright ◽  
Yannis Katsis ◽  
Ho-Cheol Kim ◽  
Austin D. Swafford ◽  
...  
Keyword(s):  
Human Microbiome ◽  
Knowledge Bases ◽  
Construction Of Knowledge ◽  
Disease Associations

scholarly journals Building decision trees based on production knowledge as support in decision-making process

2020 ◽  
Vol 26 (2) ◽  
pp. 36-40
Author(s):  
Marcin Matuszny
Keyword(s):  
Decision Making ◽  
Decision Tree ◽  
Decision Trees ◽  
Real Data ◽  
Knowledge Bases ◽  
Decision Making Process ◽  
Construction Of Knowledge ◽  
Production Processes ◽  
Technical Preparation ◽  
Production Knowledge

AbstractThe article presents sources of production knowledge and thoroughly describes its identification which on the construction of decision trees, and on the construction of knowledge bases for production processes. The problems that arise during the technical preparation of production are briefly characterized and the advanced algorithm with which decision trees can be built is described in detail. A decision tree was built based on real data from the manufacturing company. Decision trees are presented as a method of knowledge representation.

scholarly journals Bot Chat : Customer Relation dengan Teknologi Artificial Intelligence

2018 ◽  
Vol 13 (2) ◽  
pp. 81
Author(s):  
Putu Kussa Laksana Utama
Keyword(s):  
Artificial Intelligence ◽  
Speech Recognition ◽  
Customer Relations ◽  
Academic Research ◽  
Operational Efficiency ◽  
Knowledge Bases ◽  
Construction Of Knowledge ◽  
The Past ◽  
Front End ◽  
Computer Keyboard

<p><em>The application of Artificial Intelligence (AI) is increasingly massive in the industries. One of the advantages of implementing AI is operational efficiency, because by using AI that is implemented on computer machines, the use of human as an operator in an industry can be minimized. This certainly affects the operational efficiency of an organization. One form of AI implementation in the industries is the Chatbot program. Chatbot is a virtual program that is able to communicate like a human. In many cases, Chatbot take role in the Front-End section of an organization that functions as a customer relations medium. This paper aims to examine various techniques of developing Chatbot for the past 8 years in the academic research environment. In this paper there are 6 scientific articles reviewed focusing on the their techniques and methods of development. The results obtained show that there has been a shift or development of Chatbot's communication features, from the original symbol-based computer keyboard to audio-based speech recognition. Also, there are variations in the construction of knowledge bases, ranging from AIML to semantic based.</em></p>

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