DocumentCode
2346772
Title
The expert system approach in development of loosely coupled software with use of Domain Specific Language
Author
Grobelny, Piotr
Author_Institution
Comput. Sci. & Telecommun., Univ. of Zielona Gora, Gora
fYear
2008
fDate
20-22 Oct. 2008
Firstpage
119
Lastpage
123
Abstract
This paper addresses the problem of supporting the software development process through the artificial intelligence. The expert systems could advise the domain engineer in programming without the detailed experience in programming languages. He will use and integrate, with the help of deductive database and domain knowledge, the previously developed software components to new complex functionalities. The service oriented architecture (SOA) and loosely coupled software allow to fulfill these requirements. The objective of this document is to provide the knowledge representation of atomic Web services which will be registered as the facts in the deductive database as well as the inferring techniques. Also, the use of domain specific language (DSL) for modeling domain engineerpsilas requests to the expert system will be considered within this document.
Keywords
Web services; deductive databases; expert systems; knowledge representation; programming languages; software architecture; artificial intelligence; atomic Web services; deductive database; domain knowledge; domain specific language; expert system; knowledge representation; loosely coupled software; programming languages; service oriented architecture; software components; software development process; Artificial intelligence; Computer languages; DSL; Deductive databases; Domain specific languages; Expert systems; Knowledge representation; Programming; Service oriented architecture; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology, 2008. IMCSIT 2008. International Multiconference on
Conference_Location
Wisia
Print_ISBN
978-83-60810-14-9
Type
conf
DOI
10.1109/IMCSIT.2008.4747227
Filename
4747227
Link To Document