Fundamental Tribology Knowledge Serve Modeling and Knowledge Resource Units Construction

2011 ◽  
Vol 135-136 ◽  
pp. 553-559 ◽  
Author(s):  
Wen Kui Xi ◽  
Xiao Yang Yuan ◽  
Qian Jia
Keyword(s):  
Knowledge Acquisition ◽  
Knowledge Base ◽  
Industrial Structure ◽  
Significant Feature ◽  
Knowledge Service ◽  
Construction Of Knowledge ◽  
Automobile Engines ◽  
Service Oriented ◽  
Knowledge Intensive ◽  
Complex Mechanical Systems

Knowledge-intensive is a significant feature of the modern service-oriented industrial structure, and knowledge service is a main part of knowledge science. With research practices and accumulations in the field of tribological knowledge acquisition of turbine, automobile engines and other complex mechanical systems, construction of knowledge base and cooperation with enterprises in chain of “University-Industry-Research”, based on the understanding and experience of conceptual contents and features of tribology, knowledge service and resource unit and other concepts in the process of utilization, this paper studied the expression of modeling knowledge in the process of basic tribological knowledge service, construction of knowledge unit based on knowledge base and the driving force of knowledge acquisition and knowledge flow.

Design Process Control and Knowledge Service of Complex Product

2011 ◽  
Vol 135-136 ◽  
pp. 421-427
Author(s):  
Wen Kui Xi ◽  
Xiao Yang Yuan
Keyword(s):  
Process Control ◽  
Knowledge Acquisition ◽  
Knowledge Base ◽  
Product Design ◽  
Design Process ◽  
Knowledge Flow ◽  
Service Research ◽  
Knowledge Resources ◽  
Complex Product ◽  
Knowledge Service

The research of Service science, engineering and management （SSME） is depended on knowledge resources, and related to the process of serving. The research objective of this paper is oriented on a complex product design service which with the characteristics of disciplinary fusion, integration and coordination of knowledge, and the hypothesis oriented on knowledge flow was proposed for research this special service object. The content of this hypothesis is an experiential view, that is, modern complex product design process is driven by design task, and it is a knowledge flow process, whose core is new knowledge acquisition. Based on this experiential view, this study proposed a design process control and knowledge service research frame of complex product. Moreover, to promote the understanding and realization of the hypethesis mentioned above, the modeling and control of the design process of modern complex product through the process of knowledge flow, original knowledge acquisition of disciplinary subjects supporting for the construction of knowledge resources, and the construction and formal organization of resource unit based on knowledge base were conducted in this study. The knowledge flow-oriented hypothesis, experiential view and relevant prospective research results, are supposed to provide knowledge base and theory reference for the formation of SSME relevant axiom and theorem

DYNAMIC REST SERVICES ORCHESTRATION USING THE KNOWLEDGE BASE

2019 ◽  
Author(s):  
Kostyantyn Kharchenko
Keyword(s):  
Knowledge Base ◽  
Service Oriented Architecture ◽  
Main Idea ◽  
The Real ◽  
Server Side ◽  
Service Oriented ◽  
Services Orchestration ◽  
Client Side ◽  
Abstract Operation ◽  
Microservice Architecture

The approach to organizing the automated calculations’ execution process using the web services (in particular, REST-services) is reviewed. The given solution will simplify the procedure of introduction of the new functionality in applied systems built according to the service-oriented architecture and microservice architecture principles. The main idea of the proposed solution is in maximum division of the server-side logic development and the client-side logic, when clients are used to set the abstract computation goals without any dependencies to existing applied services. It is proposed to rely on the centralized scheme to organize the computations (named as orchestration) and to put to the knowledge base the set of rules used to build (in multiple steps) the concrete computational scenario from the abstract goal. It is proposed to include the computing task’s execution subsystem to the software architecture of the applied system. This subsystem is composed of the service which is processing the incoming requests for execution, the service registry and the orchestration service. The clients send requests to the execution subsystem without any references to the real-world services to be called. The service registry searches the knowledge base for the corresponding input request template, then the abstract operation description search for the request template is performed. Each abstract operation may already have its implementation in the form of workflow composed of invocations of the real applied services’ operations. In case of absence of the corresponding workflow in the database, this workflow implementation could be synthesized dynamically according to the input and output data and the functionality description of the abstract operation and registered applied services. The workflows are executed by the orchestrator service. Thus, adding some new functions to the client side can be possible without any changes at the server side. And vice versa, adding new services can impact the execution of the calculations without updating the clients.

scholarly journals Competence-driven engineering education: A case for T-shaped engineers and teachers

2020 ◽  
Vol 9 (1) ◽  
pp. 32 ◽  
Author(s):  
Alabadan Babatope A ◽  
Taiwo M. Samuel ◽  
Philip I. Ajewole ◽  
Oluwakemi M. Anyanwu
Keyword(s):  
Engineering Education ◽  
Organizational Performance ◽  
New Economy ◽  
Education Curriculum ◽  
Young Professionals ◽  
Science Management ◽  
Service Oriented ◽  
Potential Benefits ◽  
Regulatory Bodies ◽  
Knowledge Intensive

<span>The demand for engineering education and graduates is increasing daily because the current service and technological designs are unable to meet the needs of the society and the expected dramatic increase in the future. The emerging skill gap requires a shift in the type of expertise required of young professionals that will be needed to successfully lead organizations in the new economy. Researchers have identified various ‘shapes’ for the engineering professionals to make them relevant to the 21<sup>st</sup> century challenge, especially in the industry where their expertise is much needed. T-shaped professionals have skills that make them to be more preferred among others. The purpose of this paper is to present the need to upgrade engineering education curriculum to produce more T-shaped graduate engineers required in the changing industrial world. The potential benefits of T-shaped professionals to organizational performance are quite significant; hence, the demand for T-shaped professionals in knowledge-intensive, service-oriented economies is increasing. Unfortunately, the challenges associated with creating more T-shaped professionals are also significant. National regulatory bodies for engineering education in Nigeria are beginning to move towards integrated curriculum to break down discipline silos and produce T-shaped graduate engineers for the fast-changing industrial world. Service Science Management and Engineering (SSME) is an emerging discipline with over 250 programmes in 50 nations seeking to create more T-shaped professionals.</span>

OPGEN: A System to Identify and Evaluate Potential Applications of Knowledge Based Systems

1992 ◽  
Author(s):  
Samir Rohatgi ◽  
James H. Oliver ◽  
Stuart S. Chen
Keyword(s):  
Knowledge Acquisition ◽  
Knowledge Base ◽  
Knowledge Based Systems ◽  
The Core ◽  
Knowledge Based ◽  
Evaluation Functions ◽  
Potential Applications ◽  
Computer Based ◽  
Suitable System ◽  
Overall Effectiveness

Abstract This paper describes the development of OPGEN (Opportunity Generator), a computer based system to help identify areas where a knowledge based system (KBS) might be beneficial, and to evaluate whether a suitable system could be developed in that area. The core of the system is a knowledge base used to carry out the identification and evaluation functions. Ancillary functions serve to introduce and demonstrate KBS technology to enhance the overall effectiveness of the system. All aspects of the development, from knowledge acquisition through to testing are presented in this paper.

Predicting Lexical Answer Types in Open Domain QA

2012 ◽  
Vol 8 (3) ◽  
pp. 74-88 ◽  
Author(s):  
Alfio Massimiliano Gliozzo ◽  
Aditya Kalyanpur
Keyword(s):  
Knowledge Acquisition ◽  
Knowledge Base ◽  
Large Scale ◽  
Question Answering ◽  
General Purpose ◽  
Open Domain ◽  
Lexical Knowledge ◽  
Research Challenge ◽  
Lexical Knowledge Base

Automatic open-domain Question Answering has been a long standing research challenge in the AI community. IBM Research undertook this challenge with the design of the DeepQA architecture and the implementation of Watson. This paper addresses a specific subtask of Deep QA, consisting of predicting the Lexical Answer Type (LAT) of a question. Our approach is completely unsupervised and is based on PRISMATIC, a large-scale lexical knowledge base automatically extracted from a Web corpus. Experiments on the Jeopardy! data shows that it is possible to correctly predict the LAT in a substantial number of questions. This approach can be used for general purpose knowledge acquisition tasks such as frame induction from text.

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