scholarly journals TRANSFORMING EXTENDED ENTITY-RELATIONSHIP MODEL INTO OWL ONTOLOGY IN TEMPORAL DATABASES

2018 ◽  
Vol 34 (1) ◽  
pp. 77-96
Author(s):  
Minh Hoang Lien Vo ◽  
Quang Hoang
Keyword(s):  
Temporal Databases ◽  
Semantic Classification ◽  
Entity Relationship Model ◽  
Relationship Model ◽  
Er Model ◽  
Owl Ontology ◽  
Entity Relationship

Many previous systems were built based on the ER model, so the upgrading and transforming the ER model into ontology for reducing cost is really necessary. There are several studies aim at transforming from ER and EER model into ontology. However, these studies have not classified the semantic of the recursive relationship in ER model, so the semantic of the recursive relationship will be easily lost during the transformation. Also, the studies have not mentioned the designing of the ontology that supports temporal attributes based on the temporal ER model. This paper discusses the semantic classification of the recursive relationship and TimeER model (extended EER in temporal databases) and OWL ontology. And propose a method to transform into OWL ontology.

Using Ontology and Rule-Based Reasoning for Conceptual Data Models Synonyms Detection

2019 ◽  
Vol 30 (1) ◽  
pp. 1-21
Author(s):  
Ljubica Kazi ◽  
Zoltan Kazi
Keyword(s):  
Data Model ◽  
System Development ◽  
Data Models ◽  
University Student ◽  
Specific Data ◽  
Entity Relationship Model ◽  
Relationship Model ◽  
Er Model ◽  
Entity Relationship ◽  
Conceptual Data

Conceptual data models can change during the information system development and teamwork phases, which require constantly monitoring with synonyms detection. This study elaborates on an approach for detecting synonyms in an entity-relationship model based on mapping with ontological elements. The use of a specific data model validator (DMV) tool enables formalization of the ontology and ER models, as well as their integration with the set of reasoning rules. The reasoning rules enable mapping between formalized elements of the ontology and ER model, and the extraction of synonyms. Formalized elements and reasoning rules are processed within Prolog for the extraction of synonyms. An empirical study conducted by using university student exams demonstrates usability of the proposed approach. The results show effectiveness in extraction of synonyms in all types of conceptual data model elements.

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