BioDKM: Bio-inspired domain knowledge modeling method for humanoid delivery robots’ planning

2012 ◽  
Vol 39 (1) ◽  
pp. 663-672 ◽  
Author(s):  
Wanpeng Zhang ◽  
Tianjiang Hu ◽  
Jing Chen ◽  
Lincheng Shen
Author(s):  
Bonn-Oh Kim ◽  
Ted Lee

ERP (Enterprise Resource Planning) vendors have seen a dramatic increase in their sales this decade. Even though several vendors are producing great products and making huge profits, there are some problems to be resolved to make ERP applications a continuous success in the next decades. Current ERP applications have the low reusability and interchangeability of various modules among different vendors’ packages. One of the main reasons for these shortfalls is a tight coupling of ERP domain knowledge with the particular implementation tools. Also, efforts in establishing and using the standards in specifications of ERP applications have been inconsequential. In this article, strategic steps to wield a dominant power in the future ERP market are discussed. These steps are as follows: 1. Knowledge Modeling: Abstraction of Domain Knowledge from Tools; 2. Componentization of Domain Knowledge; 3. Implementation of Componentized Domain Knowledge; 4. Marketing Strategies for Domain Knowledge Components.


2013 ◽  
Vol 291-294 ◽  
pp. 2079-2083
Author(s):  
Hong Peng He ◽  
Yan Hao Huang ◽  
Jun Liu ◽  
Jian Lei Fan

Smart grid makes new request for the representation and application of power grid knowledge. To solve the problem of “information isolated island” caused by the continuous development of power grid and the ineffectively use of massive domain knowledge, ontology technology is introduced into the smart grid field. Each link of smart grid is analyzed and new request for knowledge it makes is introduced. Then a simple introduction of ontology and ontology modeling is made. Referring to the defects of existing ontology modeling methods and considering the specific reality of smart grid, an ontology modeling method suitable for the smart grid field is presented, which is aiming at providing guidance on ontology modeling of smart grid. Finally a modeling example is given which proves the feasibility and efficiency of the method.


Author(s):  
RuQian Lu ◽  
Zhi Jin

The first part of this chapter reviews the origin of knowware-based software engineering. It originates from the authors' experiences in finding new techniques for knowledge-based software engineering while performing PROMIS, a continuing project series from the 1990s. The key point of PROMIS is to generate applications automatically by separating the development of domain knowledge from that of software architecture, with an important innovation of acquiring and summarizing domain knowledge automatically based on the pseudo-natural language understanding techniques. However, during PROMIS development, the authors did not find an appropriate form for the separated domain knowledge. The second part of the chapter briefly describes how the authors came to the concept of knowware. They stated that the essence of knowware is its capacity as a commercialized form of domain knowledge. It is also the third major component of IT after hardware and software. The third part of the chapter introduces the basic concepts of knowware and knowware engineering. Three life cycle models of knowware engineering and the design of corresponding knowware implementations are given. The fourth part of the chapter introduces object-oriented mixware engineering. In the fifth part of the chapter, two recent applications of knowware technique regarding smart room and Web search are reported. As a further development of PROMIS, the sixth part of the chapter discusses knowware-based redesign of its framework. In the seventh part of the chapter, the authors discuss automatic application generation and domain knowledge modeling on the J2EE platform, which combines techniques of PROMIS, knowware, and J2EE, and the development and deployment framework (i.e. PROMIS/KW**).


Author(s):  
Lingling Li ◽  
◽  
Zhigang Li ◽  
Fenfen Zhu ◽  
Liguo Ma ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document