The Extending the Knowledge Base of the Intelligent CAD of a Design Organization Using Semantic Analysis of Wiki-Resources

Author(s):  
V. Moshkin ◽  
N. Yarushkina ◽  
I. Andreev
Author(s):  
Rafal Rzepka ◽  
Kenji Araki

This chapter introduces an approach and methods for creating a system that refers to human experiences and thoughts about these experiences in order to ethically evaluate other parties', and in a long run, its own actions. It is shown how applying text mining techniques can enrich machine's knowledge about the real world and how this knowledge could be helpful in the difficult realm of moral relativity. Possibilities of simulating empathy and applying proposed methods to various approaches are introduced together with discussion on the possibility of applying growing knowledge base to artificial agents for particular purposes, from simple housework robots to moral advisors, which could refer to millions of different experiences had by people in various cultures. The experimental results show efficiency improvements when compared to previous research and also discuss the problems with fair evaluation of moral and immoral acts.


2005 ◽  
Vol 6-8 ◽  
pp. 241-248 ◽  
Author(s):  
S. Kumar ◽  
R. Singh

This paper discusses the trends and developments in intelligent CAD of progressive die. The research efforts reviewed reveal the growing importance and relevancy of particular AI techniques for automation of progressive die design activities. Based on the knowledge base approach of AI, an intelligent CAD framework is developed and presented in this paper. The proposed intelligent CAD framework comprises different knowledge base modules for automating progressive die design process. The procedure for the development of various knowledge base modules of the proposed intelligent CAD system is described through module CCKBS which has been designed for assessing manufacturability of sheet metal parts. An illustrative example has been included for demonstrating the usefulness of the developed module CCKBS. The system framework is flexible enough to accommodate new acquired knowledge for each module. The modules of the system framework are implementable on a PC and thus can be affordable by small and medium size enterprises.


Author(s):  
Claudio Delli Bovi ◽  
Luca Telesca ◽  
Roberto Navigli

We present DefIE, an approach to large-scale Information Extraction (IE) based on a syntactic-semantic analysis of textual definitions. Given a large corpus of definitions we leverage syntactic dependencies to reduce data sparsity, then disambiguate the arguments and content words of the relation strings, and finally exploit the resulting information to organize the acquired relations hierarchically. The output of DefIE is a high-quality knowledge base consisting of several million automatically acquired semantic relations.


2021 ◽  
Vol 11 (2) ◽  
pp. 154-169
Author(s):  
G.Y. Guskov ◽  
◽  
A.M. Namestnikov ◽  
A.A. Romanov ◽  
A.A. Filippov

This article describes an approach to knowledge base (KB) formation for automating the process of architectural de-sign of software systems (SS) based on the experience of previous projects. Software architecting is the presentation of software systems in the form of design artifacts and their architecture. When developing a new SS it is possible to im-prove its quality based on the experience of previous projects. The experience of previous projects is successful archi-tectural solutions contained in the knowledge base of the design organization. Such a KB should be formed in the pro-cess of analyzing design artifacts extracted from previous projects: source code, project diagrams, data models, struc-tured text resources, etc. This article describes a KB model of a design organization and a model of the 1C: Enterprise 8 (1C) application solution as an example of a design artifact. The article also presents a method for generating frag-ments of a KB in the process of analyzing an applied solution for the 1C application and a method for generating use-case diagrams based on the KB content. A set of experiments was executed to evaluate the adequacy of the proposed models and methods. The results of experiments for assessing quality in terms of accuracy (the presence of elements of the expert diagram in the generated diagram) and completeness (the presence of elements in the generated diagram that are absent in the expert diagram) are presented. According to the results of the experiments, the average value of accuracy is 0.875, and the completeness is 0.6.


2013 ◽  
Vol 722 ◽  
pp. 562-565
Author(s):  
Feng Rong Shi

In view of body welding jig design characteristics and regularity of body welding jig, expounds the knowledge representation and acquisition, to summarize in detail based on the type of fixture scheme, construction of a stepped plan for intelligent CAD knowledge base.


Author(s):  
Aleksandr E. Ivasev ◽  
◽  
Iurii A. Lapshov ◽  
Kirill V. Sviatov ◽  
◽  
...  

The article describes an approach to the creation of an experience base for a software design organization, which is focused on its application in the development of software-intensive automated systems (AS). The use of the proposed experience base extends the potential of the OwnWIQA tool-modeling environment in the workplace of a member of the software design team. The specificity of the toolkit includes the design of a reusable model (precedent model) in the process of work execution on the design of an AS, which is included in the experience base for the purpose of its further use in the development of AS or the creation of a new AS from the same family. The article describes the knowledge base model of software projects, tools for finding use cases, implemented in the OwnWIQA environment. Experimental studies are described that reveal the parameters of precision and recall for a precedent search in the knowledge base. The factors influencing these indicators for different users of the system are given. The article may be of interest to specialists in the field of building knowledge and experience bases.


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