Incorporation of Ontologies in Data Warehouse/Business Intelligence Systems - A Systematic Literature Review

Antunes, António; Cardoso, Elsa; Barateiro, José

doi:10.1016/j.jjimei.2022.100131

Cited by 17 publications

(9 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The development of CDEs is a process of structuring the data and the semantic relations described in a domain ontology can help identify the relevant information. The role of ontologies in ETL (extract, transform, load) processes has been extensively reviewed in [28]. In particular, the authors point to the efficacy of ontologies: (a) to formalize the needs and requirements of users and resolve semantic ambiguity; (b) to discover concepts and their relationships; (c) to enrich source data, provide mappings (also generating them automatically) and increase ETL performance and efficiency; and (d) to support configuration and instantiation of ETL patterns.…”

Section: An Example Of An Swrl Rule To Catch the Same Validation Erro...mentioning

confidence: 99%

Ontologies as a Tool for Formalizing Data Validation Rules

Nicholson¹,

Štotl²

2023

Latest Advances and New Visions of Ontology in Information Science

View full text Add to dashboard Cite

Comparison of health data across national or even regional boundaries is a challenging task. Data sources, data collection methods, and data quality can vary widely and the quality of the indicators themselves is dependent upon the veracity of the underlying data. For any trans-regional or trans-national comparison of indicators, it is imperative to ensure data are appropriately validated. Ontologies provide a number of functionalities to help in this process. Data rules can be formalized using the ontology axioms, which are useful for removing the ambiguities of rules expressed in natural language. In addition, the axioms serve to identify the metadata and their corresponding semantic relationships, which can in turn be linked to standard data dictionaries or other ontologies. Moreover, ontologies provide the means for encapsulating the underlying data model of the domain allowing the rules and the data model to be maintained in a single application. Finally the expression of the axioms in description logic, as supported for example by the web ontology language, allows machine reasoning to validate data sets automatically against the formalized rules.

show abstract

Section: An Example Of An Swrl Rule To Catch the Same Validation Erro...mentioning

confidence: 99%

Ontologies as a Tool for Formalizing Data Validation Rules

Nicholson¹,

Štotl²

2023

Latest Advances and New Visions of Ontology in Information Science

View full text Add to dashboard Cite

show abstract

“…This implementation method involves various stages such as data warehousing, ETL (Extract, Transform, Load), data modeling, report generation, analysis, and distribution. These stages require specialized skills and expertise, which are generally available in the IT department [3] . The following are some of the critical elements of traditional BI implementation:…”

Section: Traditional Bi Implementationmentioning

confidence: 99%

Navigating the acceptance of implementing business intelligence in organizations: A system dynamics approach

Maghsoudi

Nezafati

2023

Telematics and Informatics Reports

View full text Add to dashboard Cite

“…Authorities from all over the world have expressed enthusiasm for the field of medical administration. This necessitates the development, installation, and deployment of web-based systems that expose healthcare organizational frameworks and services online and offer channels for communication between patients and health care facility administrators online through a single web platform, and allow online involvement by citizens in the decision-making procedures of policy authors [6]. It is crucial to comprehend the relationships between the tasks, procedures, and sectors that handle the health care administration elements, as well as how the data flow.…”

Section: Introductionmentioning

confidence: 99%

Systematic Review of Web-Based Decision Support Systems for Clinical Applications: Enhancing Ontology with Unified Modeling Language and Ontology Web Language

Ahmed,

Layeb

2024

TEM Journal

View full text Add to dashboard Cite

This article demonstrates an ontology-based technique that aids in envisioning the problem domain before software development, presenting an approach to assist decision-making for reliable and optimal healthcare administration. The proposed approach is designed for utilization by a Web-Based Decision Support System (WebDSS). The purpose of the study is to aid readers in comprehending how ontologies in healthcare management platforms can be modeled using UML and OWL. For the conceptualization and the design, service modelling and the semantics of the web language are crucial. We demonstrate the use of the Unified Modeling Language (UML) and the Ontology Web Language (OWL) in the administration of healthcare operations and key elements of the model-base of healthcare administration systems. Highly educated systems with automated assistance will allow decision-makers to more effectively incorporate aspects of sustainability into their decisions. In order to generate semantic ontologies for medical management, the present study proposes an ontology creation technique and a Semantic Web framework called Protégé. Web-based technologies, decision trees, data mining, and computational algorithms are implemented by WebDSS to assess medical resources administration information in real-time. These methods are employed to develop a decision making framework for this study. Time series graphs, email reports, and webpages are used to display the test findings. When healthcare thresholds are surpassed, the system uses text messages as email reports to automatically deliver warnings. Our study's primary contribution is the creation of a useful tool that makes it easier for academics studying medical concerns to locate online sites with information.

show abstract

Incorporation of Ontologies in Data Warehouse/Business Intelligence Systems - A Systematic Literature Review

Cited by 17 publications

References 43 publications

Ontologies as a Tool for Formalizing Data Validation Rules

Ontologies as a Tool for Formalizing Data Validation Rules

Navigating the acceptance of implementing business intelligence in organizations: A system dynamics approach

Systematic Review of Web-Based Decision Support Systems for Clinical Applications: Enhancing Ontology with Unified Modeling Language and Ontology Web Language

Contact Info

Product

Resources

About