Conceptual Information Systems unfold the conceptual structure of data stored in relational databases. In the design phase of the system, conceptual hierarchies have to be created which describe diier-ent aspects of the data. In this paper, we describe two principal ways of designing such conceptual hierarchies, data driven design and theory driven design, and discuss advantages and drawbacks. ...

Bilingual participants offer a unique opportunity to study how concepts and their relations are stored in the brain. We focus on this in the context of the spoken production of referring expressions. Previous work on reference in interaction showed that speakers adapt their descriptions to those produced earlier in the interaction. For example, when participants hear a description that contains...

Toscana and Anaconda started a tradition of applying conceptual scaling to attribute-value data in the form of many-valued contexts. This tradition is continued with ToscanaJ and its editing tools.

During conceptual design, engineers deal with incomplete product descriptions called design concepts. Engineers must compare these concepts in order to move towards the more desirable designs. However, comparisons are difficult because a single concept associates with numerous possible final design specifications, and any meaningful comparison of concepts must consider this range of possibiliti...

Despite the over five decades long history of information and communication technology there are still many general level problems in the software products and a huge price is paid for that. It indicates that there is much left to learn about what makes up a good information system and how to make it. This paper tries to find out what are the general good properties of information systems and t...

The knowledge to be acquired for the development of knowledge based systems is often distributed across a group of experts rather than available for elicitation from a single expert. Group elicitation presents major problems because experts can disagree on the use of concepts and vocabulary, and this disagreement may be tacit causing confusion. This paper describes a computer-supported methodol...

Object-oriented conceptual models strive to capture more semantics in order to better represent requirements of real-world applications. Part relationship is a powerful generic relationship for conceptual modeling. Intuitively, it relates a composite object to its component objects. This paper presents the implementation in ConceptBase, a database system for managing information at the conceptu...

Object-Relational Data Model (ORM) has included various Object-Oriented (OO) conceptual implementations in a relational environment. One of the advances is the inclusion of ROW type feature to facilitate nested relation structure. In this paper, we propose a new normalization technique for relations with single nested structure using ROW type attribute. In our best knowledge, there is no work o...

Manuscript originally submitted October 21, 1992; Revised April 28, 1993; Accepted September 8, 1993 for publication. This research compares success in developing conceptual data models for the extended entity relationship (EER) model and Kroenke’s object oriented model. A laboratory study was used to evaluate model correctness for 38 subjects divided into two equally sized groups where each gr...

Capturing data quality and context semantics at the early stage of database design is a critical issue for both database researchers and practitioners. As in traditional database design, users' quality and context requirements should be represented at the conceptual level. This paper first generalizes the issues governing data quality and context semantics to be an Interattribute-Relationship p...