Databases Modeling of Engineering Information

Abstract

Information systems have become the nerve center of current computer-based engineering applications, which hereby put the requirements on engineering information modeling. Databases are designed to support data storage, processing, and retrieval activities related to data management, and database systems are the key to implementing engineering information modeling. It should be noted that, however, the current mainstream databases are mainly used for business applications. Some new engineering requirements challenge today’s database technologies and promote their evolvement. Database modeling can be classified into two levels: conceptual data modeling and logical database modeling. In this chapter, we try to identify the requirements for engineering information modeling and then investigate the satisfactions of current database models to these requirements at two levels: conceptual data models and logical database models. In addition, the relationships among the conceptual data models and the logical database models for engineering information modeling are presented in the chapter viewed from database conceptual design.

Opinion Mining: Issues and Challenges (A survey)

“…So, fuzzy set theory comes to deal with ambiguous data. [1] These techniques are a factor that also affects quality of the mined knowledge.…”

“…[1] As knowledge is not always represented explicitly, so to extract useful information from complex and large volume of data, current database technology involves processing of data. So, Data mining and knowledge discovery (KDD) process is used for this purpose and the field of data mining and knowledge discovery from databases has emerged as a new discipline in engineering.…”

“…The Web mining research is at the crossroads of research from several research communities such as database, information retrieval, and Artificial Intelligence. [1] As web knowledge is scattered and due to lack of any uniform format, web mining is a difficult task and involves many issues. As in paper [6] and [7], web mining and its categories are explained:…”

“…In paper [1] some common challenges of KDD and their proposed solutions are presented. These also affect opinion mining.…”