Naslov
Knowledge-Based Systems for Data Modelling: Review and Challenges

Autori
Šuman, Sabrina ; Jakupović, Alen ; Pavlić, Mile

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Enterprise Information Systems and the Digitalization of Business Functions

Urednik/ci
Madjid Tavana

Izdavač
IGI Global

Godina
2017

Raspon stranica
354-374

ISBN
1522523820

Ključne riječi
data modelling ; entity relationship method ; knowledge-based system ; methods and tools for the data modelling process ; formal language

Sažetak
Data modelling is a complex process that depends on the knowledge and experience of the designers who carry it out. The lack of designers’ expertise in that process negatively affects the quality of created models which has a significant impact on the quality of successive phases of information systems development. This chapter provides an overview of data modelling, especially the entity relationship method, main actors in the modelling process, and highlights the main problems and challenges in this field. Knowledge based system for data modelling support has a potential to minimize and prevent most of the problems that occur in modelling process. Therefore, a systematic review of the existing KB systems, methods, and tools for the data modelling process is made. By summarizing their main characteristics, some important desirable features of the new KB system for data modelling support are identified. With this in mind, a new KB system for data modelling support is proposed, which applies formal language theory (particularly translation) during the process of conceptual modelling.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA