Knowledge Engineering for Modern Information Systems: Methods, Models and Tools
- Length: 250 pages
- Edition: 1
- Language: English
- Publisher: de Gruyter
- Publication Date: 2022-01-31
- ISBN-10: 3110713160
- ISBN-13: 9783110713169
- Sales Rank: #0 (See Top 100 Books)
The book series “Smart Computing Applications” provides a platform for researchers, academicians and practitioners to exchange ideas on recent theoretical and applied data science and computing technologies research, with a particular attention to the possible applications of such technologies in the industry, especially in the field of mechanical and industrial engineering.
This series serves as a valuable resource for graduate, postgraduate, doctoral students, researchers, academicians and industry professionals.
Title Page Copyright Contents Knowledge engineering for industrial expert systems 1 Introduction 1.1 Knowledge engineering 1.2 Transfer process in knowledge engineering 1.3 Knowledge engineering to exceed human experts 2 Knowledge-based engineering 2.1 Scenario in industries 2.2 KBE methodology 3 Domain knowledge and representation methods 4 Working memory 5 Expert system in industry 5.1 Components of expert systems 5.2 Characteristics and categories 5.3 Constructing an expert system 6 Standard Operating Sheet 7 KBE and CAx 8 Knowledge management and KBE 8.1 Knowledge retention 9 Applications for knowledge-based engineering 10 Applications from CAD/CAE 11 Conclusion References Machine learning integrated blockchain model for Industry 4.0 smart applications 1 Introduction 2 Background 2.1 Blockchain 2.2 Machine learning 2.3 Industry 4.0 3 Use of blockchain and machine learning for Industry 4.0 smart applications 4 Industry 4.0 smart applications 4.1 Manufacturing of products 4.2 Utilities and energy 4.3 Trading of data 4.4 Personalization of devices 4.5 Service to customers 5 The analytical framework for blockchain-integrated machine learning model 6 Issues and challenges 6.1 Privacy 6.2 Security 6.3 Compatibility 6.4 Infrastructure 6.5 Memory 7 Conclusion 8 Future work References Prototyping the expectancy disconfirmation theory model for quality service delivery in federal university libraries in Nigeria 1 Introduction 1.1 Statement of research problem 1.2 Objective of the study 2 Review of related literature 2.1 Theoretical framework 3 Research methodology 3.1 Research design 3.2 Sample and sampling technique 3.3 Instruments for data collection 3.4 Method of data collection 3.5 Method of data analysis 4 Data analysis and discussions 4.1 Availability of electronic resources in federal university libraries in Nigeria 4.2 Channels of communication used by the libraries 4.3 Usability test report 4.4 Interview/focus group report 5 Hypothesis Testing 5.1 Expectancy disconfirmation theory process flow 5.2 Library service quality assessment prototype 5.3 Designing the prototype 5.4 How the prototype works 5.5 Users process 5.6 Findings of the study 6 Conclusion Recommendations References Design of chatbot using natural language processing 1 Introduction 1.1 Chatbots and their consequences 1.2 History of chatbots 2 Types of chatbots 3 Importance of chatbots 3.1 Significance of chatbots 3.2 Advantages of chatbots 4 Real-time applications of chatbots 5 Technologies that empower chatbots 6 Architecture of chatbots 7 Machine learning 8 Natural language processing Case study 9 Conclusion References Algorithm development based on an integrated approach for identifying cause and effect relationships between different factors 5.1 Introduction 5.2 Applications of cause–effect analysis oriented studies in different contexts 5.3 Problem statement 5.4 Methodology 5.5 Results and discussion 5.6 Conclusion References Risk analysis and management in projects 1 Introduction 2 What is investigation of risk? 2.1 Why is risk management important? 2.2 In what manner risk can be managed? 2.3 Potential risk treatments 3 Create the plan 4 Implementation 4.1 Review and evaluation of the plan 4.2 Management of risk mechanism and ways 5 Explanation of project 6 Meaning of management of project 6.1 Obligation of project leader 6.2 Traits of an efficient and effective project manager 7 Methodologies of management of project 7.1 Waterfall model 7.2 Agile model 7.3 Hybrid 7.4 Scrum 7.5 Critical path method (CPM) 8 Use of risk evaluation and life cycle evaluation in project management 8.1 What is risk evaluation? 9 Explanation of life cycle assessment (LCA)? 9.1 LCA software 10 How to choose the accurate procedure 10.1 Assess the venture 10.2 Assess your group 10.3 Assess your association 10.4 Assess your shareholders 10.5 Assess your tools 11 Conclusion References Assessing and managing risks in smart computing applications 1 Introduction 1.1 Smart computing applications 1.2 Knowledge engineering for modern information systems References COVID-19 visualization and exploratory data analysis 1 Introduction 2 Literature review 3 Methodology 4 Experimental results 4.1 Positive increase 4.2 Hospitalized increase 4.3 Death increase 4.4 Total test results increase 4.5 Total test result increase versus positive increase 4.6 Hospitalized versus death 4.7 Total test results 4.8 Fatality ratio chart 5 Conclusion and future scope References Business intelligence and decision support systems: business applications in the modern information system era 1 Introduction to business intelligence and decision support systems 1.1 Applications of business intelligence and decision support systems 1.2 Conceptual, methodological, and technical bases of business intelligence and decision support systems 2 Applications, challenges, and future directions of business intelligence and decision support systems 3 Conceptually designed prototypes and architectures for business intelligence anddecision support system 3.1 Skills requirement 3.2 Data mining techniques 4 Business intelligence process 4.1 Data sources 4.2 Enterprise data warehouse 4.3 Data marts 4.4 Decision support system 4.5 Data to decision conversion process 5 Conclusion References Business intelligence implementation in different organizational setup evidence from reviewed literatures 1 Introduction 2 Method 3 Findings 3.1 Implications of previous works for business intelligence practice development 4 Challenges in business intelligence implementation 5 Conclusion 6 Research limitations and recommendation References Conceptualization of a modern digital-driven health-care management information system (HMIS) 1 Introduction 2 Main pillars of the modern HMIS 2.1 Ease of use 2.2 Fully integrated 2.3 Mobile and accessible 3 Structure and features of the modern HMIS 4 Benefits of digitalized processes for medical record-keeping 5 Utilizing technology for medical record-keeping 6 Record management system 6.1 Privacy preserving systems and data exchange 7 Mobile application architecture 8 Modern HMIS in the context of national health-care policy 9 Conclusion References Knowledge engine for a Hindi text-to-scene generation system 1 Introduction 1.1 Preksha 1.2 Challenges 1.3 Syntactic variations 1.4 Spatial ambiguity 2 Overview 2.1 Resources 2.2 Degree of visualization (DoV) 2.3 Object visualization features (OVFs) 3 Language engine 4 Knowledge engine 5 Knowledge extraction 5.1 Processing the parsed tee 6 Extracting the 3D objects 7 Planning the background 7.1 Knowledge representation 7.2 Preparing scene knowledge 8 Marshaling the XML 9 Result 10 Conclusion References Index
Donate to keep this site alive
To access the Link, solve the captcha.
1. Disable the AdBlock plugin. Otherwise, you may not get any links.
2. Solve the CAPTCHA.
3. Click download link.
4. Lead to download server to download.