Knowledge Base of Cenozoic Volcanoes in China

2021 ◽  
pp. SP510-2020-147
Author(s):  
Bo Pan ◽  
Tao Cheng ◽  
Jiandong Xu ◽  
Jingwei Zhang ◽  
Zhengquan Chen

AbstractKnowledge management plays an important role in scientific research and provides a basis for technical development in the era of Big Data. Studies of Cenozoic volcanoes in China have been undertaken for more than half a century, generating plentiful relevant literature and data. However, these data have stayed scattered between different authors and libraries, and as such hamper management and access. Based on theories Knowledge Bases and related technologies, we developed the Knowledge Base of Cenozoic Volcanoes (KBCV) to collect such volcanic data in China. The directory tree of the KBCV is structured based on five levels according to the volcano distribution, magma origin, data type, and file format. Data handled by the KBCV supports querying, searching, and browsing. The KBCV can provide well-managed Cenozoic volcanic data and technical support for scientific research and public communication. The KBCV is still in its early stage and is imperfect with respect to data completeness and universalization of the system, and efforts are being made to continuously sophisticate and popularize the system.

2003 ◽  
Vol 24 (3) ◽  
pp. 5-7 ◽  
Author(s):  
Patrick Marren

Discusses the economy and knowledge management via a knowledge bases and looks at where this knowledge base is today. States knowledge is a human being’s rightful certainty of what is actually the case, but does not help directly with knowledge on the job. Uses an example of a knowledge creation of a substitute, robot‐like creature called a “Golem” with cautionary, tragic results, to show what could happen in business organizations.


Author(s):  
Timothy C. Lethbridge

Metrics are widely researched and used in software engineering; however there is little analogous work in the field of knowledge engineering. In other words, there are no widely-known metrics that the developers of knowledge bases can use to monitor and improve their work. In this paper we adapt the GQM (Goals-Questions-Metrics) methodology that is used to select and develop software metrics. We use the methodology to develop a series of metrics that measure the size and complexity of concept-oriented knowledge bases. Two of the metrics measure raw size; seven measure various aspects of complexity on scales of 0 to 1, and are shown to be largely independent of each other. The remaining three are compound metrics that combine aspects of the other nine in an attempt to measure the overall 'difficulty' or 'complexity' of a knowledge base. The metrics have been implemented and tested in the context of a knowledge management system called CODE4.


Author(s):  
Abid Thyab Al Ajeeli

<div><p><em>Although Knowledge is recognized as a strategic force in organizations, knowledge creation and management is not simply the capture and storage of items of information. It requires the storage and processing of associations through which meaning can be derived from the information. Association can be represented in explicit and observable forms in a knowledge base. The paper discusses issues relating to design a better quality</em><em> interactive interface system for human to have a dialog with the knowledge management systems. At the same time, the paper investigates the ease of evaluation and implementation of a knowledge management system. It performs a major role in providing users with capabilities of dealing with underlying systems. Designing a good interface style using knowledge bases can have a profound effect on the nature of the dialog. </em></p><p><em> </em></p><p><em>Interfacing a knowledge base oriented system can be seen as a dialog between the knowledge base and the user. It plays a major role in providing users with capabilities that deal with underlying systems. Designing a good interface style can have a profound effect on the nature of the dialog. Design of a user interface involves determining approaches in which users interact with the knowledge-based system. The design process, can be complex and multifaceted, begins by identifying system users, through classification of them to understanding their characteristics. The study investigates the improvement of performance by performing an actual study of many experimental systems sufficient to provide judgments for taking the right decision.  Results confirm that a good interface has a great impact on the performance of knowledge management systems. </em></p></div>


2020 ◽  
Author(s):  
Matheus Pereira Lobo

This paper is about highlighting two categories of knowledge bases, one built as a repository of links, and other based on units of knowledge.


2017 ◽  
Vol 21 (3) ◽  
pp. 623-639 ◽  
Author(s):  
Tingting Zhang ◽  
William Yu Chung Wang ◽  
David J. Pauleen

Purpose This paper aims to investigate the value of big data investments by examining the market reaction to company announcements of big data investments and tests the effect for firms that are either knowledge intensive or not. Design/methodology/approach This study is based on an event study using data from two stock markets in China. Findings The stock market sees an overall index increase in stock prices when announcements of big data investments are revealed by grouping all the listed firms included in the sample. Increased stock prices are also the case for non-knowledge intensive firms. However, the stock market does not seem to react to big data investment announcements by testing the knowledge intensive firms along. Research limitations/implications This study contributes to the literature on assessing the economic value of big data investments from the perspective of big data information value chain by taking an unexpected change in stock price as the measure of the financial performance of the investment and by comparing market reactions between knowledge intensive firms and non-knowledge intensive firms. Findings of this study can be used to refine practitioners’ understanding of the economic value of big data investments to different firms and provide guidance to their future investments in knowledge management to maximize the benefits along the big data information value chain. However, findings of study should be interpreted carefully when applying them to companies that are not publicly traded on the stock market or listed on other financial markets. Originality/value Based on the concept of big data information value chain, this study advances research on the economic value of big data investments. Taking the perspective of stock market investors, this study investigates how the stock market reacts to big data investments by comparing the reactions to knowledge-intensive firms and non-knowledge-intensive firms. The results may be particularly interesting to those publicly traded companies that have not previously invested in knowledge management systems. The findings imply that stock investors tend to believe that big data investment could possibly increase the future returns for non-knowledge-intensive firms.


Author(s):  
Nirit Putievsky Pilosof ◽  
Yasha Jacob Grobman

Objective The study examines the integration of the Evidence-based Design (EBD) approach in healthcare architecture education in the context of an academic design studio. Background Previous research addressed the gap between scientific research and architectural practice and the lack of research on the use of the EBD approach in architectural education. Methods The research examines an undergraduate architectural studio to design a Maggie’s Centre for cancer care in Israel and evaluates the impact of the EBD approach on the design process and design outcomes. The research investigates the impact of the integration of three predesign tasks: (1) literature review of healing architecture research, (2) analysis and comparison of existing Maggie’s Centres, and (3) analysis of the context of the design project. Results The literature review of scientific research supported the conceptual design and development of the projects. The analysis of existing Maggie’s centers, which demonstrated the interpretation of the evidence by different architects, developed the students’ ability to evaluate EBD in practice critically, and the study of the projects’ local context led the students to define the relevance of the evidence to support their vision for the project. Conclusions The research demonstrates the advantages of practicing EBD at an early stage in healthcare architectural education to enhance awareness of the impact of architectural design on the users’ health and well-being and the potential to support creativity and innovative design. More studies in design studios are needed to assess the full impact of integrating EBD in architectural education.


2021 ◽  
Vol 13 ◽  
pp. 175628722199813
Author(s):  
B. M. Zeeshan Hameed ◽  
Aiswarya V. L. S. Dhavileswarapu ◽  
Nithesh Naik ◽  
Hadis Karimi ◽  
Padmaraj Hegde ◽  
...  

Artificial intelligence (AI) has a proven record of application in the field of medicine and is used in various urological conditions such as oncology, urolithiasis, paediatric urology, urogynaecology, infertility and reconstruction. Data is the driving force of AI and the past decades have undoubtedly witnessed an upsurge in healthcare data. Urology is a specialty that has always been at the forefront of innovation and research and has rapidly embraced technologies to improve patient outcomes and experience. Advancements made in Big Data Analytics raised the expectations about the future of urology. This review aims to investigate the role of big data and its blend with AI for trends and use in urology. We explore the different sources of big data in urology and explicate their current and future applications. A positive trend has been exhibited by the advent and implementation of AI in urology with data available from several databases. The extensive use of big data for the diagnosis and treatment of urological disorders is still in its early stage and under validation. In future however, big data will no doubt play a major role in the management of urological conditions.


2016 ◽  
Vol 20 (2) ◽  
pp. 364-385 ◽  
Author(s):  
Kai Wing Chu

Purpose Despite the fact that schools should be places where learning occurs, most schools have overlooked the importance of knowledge. In contrast, commercial firms have recognized knowledge as a strategic intangible asset and a key resource of the enterprises. Therefore, enterprises have already harnessed knowledge to a great extent with wide practice of knowledge management (KM). The purpose of this paper is to show that KM could be applied to the education sector similar to the practice in the business world for leveraging intellectual assets. This paper examines how schools can kick off the process of KM implementation. This paper also reports what have been done and what should be done in KM implementation better in a school. This can give insights for schools which will try KM in near future. Design/methodology/approach The paper uses a case study in a secondary school to explore how KM can be kicked off and sustained in a school setting. A KM system called knowledge base and a document management system called Digital Archive were developed to serve as the infrastructure for knowledge sharing. Lesson study and communities of practice (CoPs) were adopted to be the platforms for knowledge sharing among teachers in the school. A case study of the processes and lesson learned was done in this paper. Multiple sources of data, including observations, questionnaires and interviews, have been collected for evaluation. Findings In this paper, KM implementation was found to be effective through dual approaches: information-based and people-/interaction-based approaches. A knowledge base and a Digital Archive as knowledge repositories and lesson study and CoPs as platforms for knowledge sharing have been successfully established to facilitate sharing information/knowledge and nurturing a sharing culture and trust. Challenges faced and the related coping strategies during the process of implementation were shared and reflected. It was also found that building sharing culture is the critical turning point of the process of KM implementation. Breaking through the barrier of sharing was found to be very essential to KM implementation. Research limitations/implications This paper adopts case study methodology to report the process of KM implementation in a school. Although these results of the study conducted in one school may not be generalized to other school contexts, the lessons learned in the study will be a strong empirical evidence of research of KM implementation, especially in schools. Because of the limited number of prior studies and the importance of the pioneering work of launching KM implementation, this paper tries to address the research gap by using theory building from cases as a research strategy rather than theory testing research, especially in “how”and“why” in the steps of kicking off KM implementation in an unexplored research area. Practical implications This paper shows a case of KM implementation in a school with thoughtful procedures of implementing information-based and people-/interaction-based approaches. The paper is a showcase that will shed light on the processes and lessons learned and also helps to provide a model for schools who are interested in applying KM in their schools. Social implications Most people might think that KM can be applied only in commercial sector. This paper shows that KM can also be adopted in schools as well as other sectors. Originality/value This paper represents one of the pioneering work of implementing KM in a school. It hopes to make contributions for KM implementation also in the public sector within which are non-profit-making organizations.


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