Knowledge Engineering for Modern Information Systems

Methods, Models and Tools

Anand Sharma, Sandeep Kautish, Prateek Agrawal, Vishu Madaan, Charu Gupta, Saurav Nanda, Anand Sharma, Sandeep Kautish, Prateek Agrawal, Vishu Madaan, Charu Gupta, Saurav Nanda

• Publisher: De Gruyter
• Year: 2022
• ISBN:
  9783110713695
• Edition: 1
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

Knowledge Engineering (KE) is a field within artificial intelligence that develops knowledgebased systems. KE is the process of imitating how a human expert in a specific domain would act and take decisions. It contains large amounts of knowledge, like metadata and information about a data object that describes characteristics such as content, quality, and format, structure and processes. Such systems are computer programs that are the basis of how a decision is made or a conclusion is reached. It is having all the rules and reasoning mechanisms to provide solutions to real-world problems. This book presents an extensive collection of the recent findings and innovative research in the information system and KE domain. Highlighting the challenges and difficulties in implementing these approaches, this book is a critical reference source for academicians, professionals, engineers, technology designers, analysts, undergraduate and postgraduate students in computing science and related disciplines such as Information systems, Knowledge Engineering, Intelligent Systems, Artifi cial Intelligence, Cognitive Neuro - science, and Robotics. In addition, anyone who is interested or involved in sophisticated information systems and knowledge engineering developments will find this book a valuable source of ideas and guidance.

Prototyping the expectancy disconfirmation theory model for quality service delivery in federal university libraries in Nigeria

Kudirat Abiola Adegoke

Abdullahi Fodiyo Library Complex, Usmanu Danfodiyo University, Sokoto

Akor P. Usman

Department of Library and Information Technology, School of Information and Communication Technology (SICT), Federal University of Technology, Minna

Mohamed Bitagi

School of Information and Communication Technology (SICT), Federal University of Technology, Minna

Abstract

The role of university libraries in the attainment of mission and vision of their parent institution can never be over emphasised. This has motivated the researchers to design a prototype for Expectancy Disconfirmation Theory (EDT) using the five dimensions of the SERVQUAL instrument to assess users’ satisfaction with library services quality. The methodology used was descriptive survey, 722 postgraduate students participated in the survey while only 50 library users were tested during the usability evaluation exercise. Data was analysed with frequency counts, percentage checklist, charts using SEM, SPSS and STATA. The study discussed the Actor and use case, obtained a domain to fast track the empirical usability testing process. It was statistically proven that the usability of library electronic resources had negative relationship with users’ satisfaction and service quality had a positive influence on the level of library users’ satisfaction with electronic resources in federal university libraries in Nigeria and users’ preferred channel of communication was text message (SMS). The study discussed the procedures involved in designing the disconfirmation software and concluded by encouraging libraries to adopt the prototype for measuring library services quality for effective service delivery. The paper recommended that libraries should improve on the quality of services delivered to their respective users through provision of effective security measures, regular evaluation of library resources and users’ satisfaction, subscription to subject based resources, reviewing of library policies and regular sensitization of the users community through SMS.

Keywords: Library services, SERVQUAL, EDT Model, Users’ Satisfaction,

1 Introduction

Over the years, the user’s service sector, including information service organizations of which university libraries are not exempted, has been vested with the responsibilities of providing effective service delivery to its ever-increasing user communities and discharge their duties as the nerve center of academic excellence, users’ satisfaction is crucial. Users’ satisfaction has been reported to have influenced users’ intention to use library resources, word-of-mouth behavior (recommending, advocating, and complimenting), and switching behavior (seeking for information resources elsewhere or not using library services at all). To this end, users’ satisfaction assessment should be a regular exercise in the university libraries because it is possible to make resources available, but it is not possible to coerce users to use the provided resources. In other words, users are expected to be treated like kings and queens if the huge investment made on library and information resources would not amount to a waste.

University library resources and services are rendered to support their parent institutions’ teaching, learning, and research activities. The university library is an integral part of an academic institution and is saddled with the responsibility of providing print and electronic information resources to support the vision and mission of the parent institution. Nigerian academic institutions, particularly the universities, were broadly categorized by the Nigerian Universities Commission [20] into three clusters in terms of ownership, namely, federal, state, and private universities. The motive behind the establishment of these universities is undoubtedly connected with the need for high-level workforce development. An essential need for human development is to seek information irrespective of the format it is presented. Therefore, university libraries have gone beyond mere storehouses of books but are now seen as the technology-driven users’ information and literacy skills acquisition centers where users’ information needs are turned into reality. The need for information cannot be...

Table of contents

• Title Page
• Copyright
• Contents
• Knowledge engineering for industrial expert systems
• Machine learning integrated blockchain model for Industry 4.0 smart applications
• Prototyping the expectancy disconfirmation theory model for quality service delivery in federal university libraries in Nigeria
• Design of chatbot using natural language processing
• Algorithm development based on an integrated approach for identifying cause and effect relationships between different factors
• Risk analysis and management in projects
• Assessing and managing risks in smart computing applications
• COVID-19 visualization and exploratory data analysis
• Business intelligence and decision support systems: business applications in the modern information system era
• Business intelligence implementation in different organizational setup evidence from reviewed literatures
• Conceptualization of a modern digital-driven health-care management information system (HMIS)
• Knowledge engine for a Hindi text-to-scene generation system
• Index