scholarly journals Students' Difficulties in Identifying the Use of Ternary Relationships in Data Modeling

Author(s):  
Rami Rashkovits ◽  
Ilana Lavy

The present study examines the difficulties novice data modelers face when asked to provide a data model addressing a given problem. In order to map these difficulties and their causes, two short data modeling problems were given to 82 students who had completed an introductory course in database modeling. Both problems involve three entity sets with relationships between them, either ternary or binary. The students' solutions were classified according to the types of errors they committed. More than half of the students provided faulty solutions. After an analysis of these results, open interviews were conducted with a selected group of students in order to figure out the reasons underlying the students' erroneous decisions regarding the data model. Among the reasons for their erroneous solutions were insufficient experience, lack of reflection on their solution, and lack of immediate feedback. In addition, the authors suggest instructional modifications derived from the research results.

2012 ◽  
Vol 204-208 ◽  
pp. 4872-4877
Author(s):  
Da Xi Ma ◽  
Xiao Hong Liu ◽  
Li Wei Ma

By analyzing the attributes of three-dimensional space data model, the integrated 3D spatial data adopts object-oriented method for digital landslide modeling. It achieves spatial data modeling for landslide geological entity. An experimental case is given to indicate the feasibility of this approach for spatial data modeling.


Author(s):  
Scott G. Danielson

Abstract An engineering database modeling telephone outside plant networks is developed. Semantic and relational database design methodologies are used with the semantic data model developed based on an extended entity-relationship approach. This logical model is used to generate a normalized relational data structure. This database holds engineering data supporting engineering analyses, engineering work order generation procedures, and network planning activities. The database has been linked to separate network analysis programs and CAD-based network maps by a database application.


2011 ◽  
Vol 211-212 ◽  
pp. 62-67
Author(s):  
Yun Na Wu ◽  
Jiang Shuai Li ◽  
Jia Li Wang

With the continuous development of energy projects and the actual needs of the project, project portfolio management technique is known by people more and more. However, current databases of energy project management system are too different. This paper studies actual demand of energy project database, taking portfolio management theory as the basic, and use database modeling technology to build database’s conceptual data model, logical data model and physics data model based on the portfolio of energy project management. These models can be very good instruction of energy database design and construction, and will support energy project portfolio management system design to some guidance.


2019 ◽  
Vol 30 (1) ◽  
pp. 41-60 ◽  
Author(s):  
Gustavo Cordeiro Galvão Van Erven ◽  
Rommel Novaes Carvalho ◽  
Waldeyr Mendes Cordeiro da Silva ◽  
Sergio Lifschitz ◽  
Harley Vera-Olivera ◽  
...  

In recent years, graph database systems have become very popular and been deployed mainly in situations where the relationship between data is significant, such as in social networks. Although they do not require a particular schema design, a data model contributes to their consistency. Designing diagrams is an approach to satisfying this demand for a conceptual data model. While researchers and companies have been developing concepts and notations for graph database modeling, their notations focus on their specific implementations. In this article, the authors propose a diagram to address this lack of a generic and comprehensive notation for graph databases modeling, named GRAPHED (Graph Description Diagram for Graph Databases). The authors verified the effectiveness and compatibility of GRAPHED in two case studies: fraud identification, and a biological network model.


2013 ◽  
Vol 95 (1) ◽  
pp. 49-63 ◽  
Author(s):  
Dariusz Gotlib ◽  
Miłosz Gnat

Abstract For many years, cartographers are involved in designing GIS and navigation systems. Most GIS applications use the outdoor data. Increasingly, similar applications are used inside buildings. Therefore it is important to find the proper model of indoor spatial database. The development of indoor navigation systems should utilize advanced teleinformation, geoinformatics, geodetic and cartographical knowledge. The authors present the fundamental requirements for the indoor data model for navigation purposes. Presenting some of the solutions adopted in the world they emphasize that navigation applications require specific data to present the navigation routes in the right way. There is presented original solution for indoor data model created by authors on the basis of BISDM model. Its purpose is to expand the opportunities for use in indoor navigation.


2012 ◽  
Vol 9 (2) ◽  
pp. 791-811 ◽  
Author(s):  
Dragan Ivanovic ◽  
Dusan Surla ◽  
Milos Rackovic

In this paper we propose an application of extended CERIF data model for storing journal impact factors and journal scientific fields and also propose a journal evaluation approach based on these data. The approach includes an algorithm for journal evaluation based on one metric for journals ranking that is also stored using the CERIF data model and that is in accordance with the rule book for evaluation of scientific-research results which is prescribed by the Republic of Serbia. The algorithm does not unambiguously evaluate journal, i.e. the algorithm suggests possibly journal categories according to the values of the metric, but final decision is made by commission. The proposed evaluation approach is implemented within CRIS UNS and verified on scientific-research results of researchers employed at Department of Mathematics and Informatics, University of Novi Sad. The complete evaluation approach proposed in this paper is based on the CERIF standard that allows an easy application of this evaluation approach in any CERIF-compatible CRIS system.


1998 ◽  
Vol 2 (3) ◽  
pp. 93-104
Author(s):  
Joseph H. Callaghan ◽  
Thomas W. Lauer ◽  
Eileen Peacock

The growing emphasis on information for the development of products, services, and managing activities has increased the need for the integration of data which has been collected and used for various IS applications. Problems arise from the integration of information from such a variety of sources. One approach to this problem is reverse engineer these systems. Reverse engineering derives a data model from existing sys-tems with the aim of redesigning it. The paper describes a data modeling approach that takes data from general journal and an archetypal specialized journal and translates it into an entity-relationship diagram. The article also discusses areas for future research.


10.28945/2245 ◽  
2015 ◽  
Author(s):  
Robert Thomas Mason

NoSQL databases are an important component of Big Data for storing and retrieving large volumes of data. Traditional Relational Database Management Systems (RDBMS) use the ACID theorem for data consistency, whereas NoSQL Databases use a non-transactional approach called BASE. RDBMS scale vertically and NoSQL Databases can scale both horizontally (sharding) and vertically. Four types of NoSQL databases are Document-oriented, Key-Value Pairs, Column-oriented and Graph. Data modeling for Document-oriented databases is similar to data modeling for traditional RDBMS during the conceptual and logical modeling phases. However, for a physical data model, entities can be combined (denormalized) by using embedding. What was once called a foreign key in a traditional RDBMS is now called a reference in a Document-oriented NoSQL database.


2021 ◽  
Vol 13 (1) ◽  
pp. 1-19
Author(s):  
Rami Rashkovits ◽  
Ilana Lavy

Data modeling in the context of database design is a challenging task for any database designer, even more so for novice designers. A proper database schema is a key factor for the success of any information systems, hence conceptual data modeling that yields the database schema is an essential process of the system development. However, novice designers encounter difficulties in understanding and implementing such models. This study aims to identify the difficulties in understanding and implementing data models and explore the origins of these difficulties. This research examines the data model produced by students and maps the errors done by the students. The errors were classified using the SOLO taxonomy. The study also sheds light on the underlying reasons for the errors done during the design of the data model based on interviews conducted with a representative group of the study participants. We also suggest ways to improve novice designer's performances more effectively, so they can draw more accurate models and make use of advanced design constituents such as entity hierarchies, ternary relationships, aggregated entities, and alike. The research findings might enrich the data body research on data model design from the students' perspectives.


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