Distributed product knowledge service: model and system framework

Journal of Information Science

McNab

Zhang

2021

Based on the theory of system dynamics, this article analyses the system composition of a university library intelligent knowledge service (IKS) and its relevant functions. First, we designed a system dynamics model involved the steps and flow of system modelling, the analysis and frame diagram, the system boundaries and their settings, and the system causality model. Furthermore, the system simulation of the IKS is carried out with result analysis, validity test and application analysis. The system simulation results show that (1) the model can simulate the system operation processes of a university library IKS, (2) the model reveals the relationships and the operation trends among the elements of the IKS and (3) the effective implementation of a library IKS can be improved by following the essential law of service development, paying attention to the coordination and interaction among constituent elements, and influencing measures around key variables.

Section: The Relationship Between Is and Iks Of A Librarymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

How to improve the university library intelligent knowledge service: A system dynamics model

Journal of Information Science

McNab

Zhang

2021

“…(2) Proper Noun Tagging: Tag the proper noun according to the results obtained from (1). The results are as follows.…”

Section: Illustrative Example Of Consultative Expert Recommendationmentioning

confidence: 99%

“…Product lifecycle, a knowledge-intensive process, largely involves market analysis, product design and process development, product manufacturing, product distribution, product in use, post-sale service, and product recycling [1]. Each activity and its supply chain activities encompass complex and professional product knowledge.…”

Section: Introductionmentioning

confidence: 99%

Development of an Ontology-based Expert Recommendation System for Product Empirical Knowledge Consultation

2010

Concurrent Engineering

Self Cite

Product lifecycle, a knowledge-intensive process, consists mainly of market analysis, product design and process development, product manufacturing, product distribution, product in use, post-sale service, and product recycling. Performing and achieving each activity or its supply chain activities require product empirical knowledge at different levels to resolve product-related problems or make certain decisions. However, effective consultation and sharing of tacit product empirical knowledge would greatly enhance product market competitiveness. Therefore, effectively and correctly sharing product empirical knowledge from domain experts in different organizations require developing an expert recommendation system for product empirical knowledge consultation, which is priority concern for product knowledge management. This study develops an expert recommendation system for product empirical knowledge consultation by using ontology to matchmaking of the required consultative experts quickly and correctly for the product empirical knowledge requester, thus sharing required product empirical knowledge by interpersonal communication to resolve product-related problems efficiently. The tasks involved in this study include: (i) designing an expert recommendation process for product empirical knowledge consultation, (ii) developing an expert recommendation method for product empirical knowledge consultation, and (iii) implementing an expert recommendation mechanism for product empirical knowledge consultation.

“…It is based on the collection, collation, analysis and application of knowledge and utilises a wealth of information resources and advanced information technology. In addition, this system can help clients propose new scientific research problems, provide reliable knowledge consulting services and form a viable knowledge activity solution [10]. Taking university libraries as an example, the knowledge service system of university libraries plays a very important role in knowledge management.…”

Section: Introductionmentioning

confidence: 99%

WeChat knowledge service system of university library based on SoLoMo: A holistic design framework

Journal of Information Science

Zhang

2019

In this study, we develop a WeChat knowledge service system (WKSS) in university library based on SoLoMo. The aim is to build a comprehensive, open, mobile and smart knowledge service environment. It can realise the interaction between the three users, library and knowledge, and promote the dissemination and sharing of knowledge. By referencing the Internet frontier concept SoLoMo, this study designs a new mobile smart service system, including the system architecture design, the content design and the data association design. Then, this study develops the system, including the running environment configuration, the development of workflow, the core module and the system implementation. This system enables the provision of accurate, specific and more personalised service to each user. It also includes a portable mobile terminal to increase the accuracy of context awareness and enhance user convenience. This study makes up for the shortcomings of the library and increases the functions of personalisation, mobility and intelligence. It extends the way of mobile service in libraries and provides readers with better library mobile services, which was liked by readers.