Analytical Processing Over XML and XLink

2012 ◽  
Vol 8 (1) ◽  
pp. 52-92 ◽  
Author(s):  
Paulo Caetano da Silva ◽  
Valéria Cesário Times ◽  
Ricardo Rodrigues Ciferri ◽  
Cristina Dutra de Aguiar Ciferri

Current commercial and academic OLAP tools do not process XML data that contains XLink. Aiming at overcoming this issue, this paper proposes an analytical system composed by LMDQL, an analytical query language. Also, the XLDM metamodel is given to model cubes of XML documents with XLink and to deal with syntactic, semantic and structural heterogeneities commonly found in XML documents. As current W3C query languages for navigating in XML documents do not support XLink, XLPath is discussed in this article to provide features for the LMDQL query processing. A prototype system enabling the analytical processing of XML documents that use XLink is also detailed. This prototype includes a driver, named sql2xquery, which performs the mapping of SQL queries into XQuery. To validate the proposed system, a case study and its performance evaluation are presented to analyze the impact of analytical processing over XML/XLink documents.

Author(s):  
Paulo Caetano da Silva

Analytical processing (OLAP) tools typically only deal with relational data. Hence, the analytical processing systems on XML data do not have all the functionality provided by OLAP tools to traditional data (i.e. relational). In addition, current commercial and academic OLAP tools do not process XML data that contains XLink. Therefore, there is a need to develop a solution for OLAP systems in order to assist in the strategic analysis of the organizational data represented in XML format. Aiming at overcoming this issue, this chapter proposes an analytical system composed by LMDQL (Link-Based Multidimensional Query Language), an analytical query language; XLDM (XLink Data Metamodel), a metamodel given to model cubes of XML documents with XLink and to deal with syntactic, semantic, and structural heterogeneities commonly found in XML documents; and XLPath (XLink Path Language), a navigation language for XML documents connected by XLink. As current W3C query languages for navigating in XML documents do not support XLink, XLPath is discussed in this chapter to provide features for the LMDQL query processing and a prototype system enabling OLAP queries over XML documents linked by XLink and XML schema. This prototype includes a driver, named sql2xquery, which performs the mapping of SQL queries into XQuery in a relational OLAP server. In order to validate the proposed system, a case study and its performance evaluation are presented to analyze the impact of analytical processing over XML/XLink documents.


2019 ◽  
Vol 10 (11) ◽  
pp. 1131-1135
Author(s):  
Tomas Hambili Paulo Sanjuluca ◽  
◽  
Ricardo Correia ◽  
Anabela Antunes de Almeida ◽  
Ana Gloria Diaz Martinez ◽  
...  

Introduction: In order to have a good assessment of the quality of maternal and child health care, it is essential that there is up-to-date and reliable information. Objective: To evaluate the impact of the implementation of a computerized database of clinical processes in the admission, archive and medical statistics section, of Maternity hospital Irene Neto/Lubango-Angola. Methodology: A descriptive study with a quantitative and qualitative approach to carry out a retrospective case study deliveries and newborns, records from 2014 to 2017. Final considerations: The implementation of this project may contribute to the improvement of clinical management support management of the hospital as well as facilitating access to information for research and scientific production.


2018 ◽  
Author(s):  
Emmanuel Owusu-Kwarteng ◽  
Prince Opoku ◽  
Gershon Dagba ◽  
Mark Amankwa

Author(s):  
Arijit Sengupta ◽  
Ramesh Venkataraman

This chapter introduces a complete storage and retrieval architecture for a database environment for XML documents. DocBase, a prototype system based on this architecture, uses a flexible storage and indexing technique to allow highly expressive queries without the necessity of mapping documents to other database formats. DocBase is an integration of several techniques that include (i) a formal model called Heterogeneous Nested Relations (HNR), (ii) a conceptual model XER (Extensible Entity Relationship), (ii) formal query languages (Document Algebra and Calculus), (iii) a practical query language (Document SQL or DSQL), (iv) a visual query formulation method with QBT (Query By Templates), and (v) the DocBase query processing architecture. This paper focuses on the overall architecture of DocBase including implementation details, describes the details of the query-processing framework, and presents results from various performance tests. The paper summarizes experimental and usability analyses to demonstrate its feasibility as a general architecture for native as well as embedded document manipulation methods.


2010 ◽  
Vol 143-144 ◽  
pp. 1305-1310
Author(s):  
Bing Li Xu ◽  
Hui Lin ◽  
Wei Ning Cui ◽  
Ya Hu ◽  
Jun Zhu ◽  
...  

Air pollution dispersion is a typical geographic process. A reasonable way to simulate air pollution dispersion is to modeling the dispersion and presents the results in a geographically referenced virtual environment. In this research, we apply the concept of virtual geographic environments (VGE), which is coined in the community of geographic information science, to facilitate air pollution dispersion by integrating MM5 and VGE. Because MM5 is computation intensive, the CUGrid is used in this research to decrease the computation time. Our research focuses on three key points, which are the platform design, MM5 integration and computation on CUGrid, and geographical visualization of air pollution dispersion in VGE. Based on the prototype system, a case of simulating air pollution dispersion in Pearl River Delta is employed to validate and test the rationality of the methodology. As shown in this case study, VGE can provide a good way to visualize air pollution dispersion and the CUGrid can decrease model computation time significantly.


Author(s):  
Nazanin Pilevari ◽  
Mahyar Valeh Shiva

Background: The outbreak of the COVID-19 virus has had many destructive impacts on socio-economic and health systems. The health systems of countries could be supportive in crisis management, but they also are affected by the impact of the crisis, consequently, their operational level has declined. This study pursued resilience in an overall national health system under pandemic stress. Methods: Based on WHO building blocks, by interviewing informants of the Ministry of Health and Medical Education, in Tehran-Iran, early 2021 a rich picture of the current situation depicted, the resilience model was extracted via a mixed method of Soft System Methodology (SSM) and total interpretive structural modeling (TISM). Dynamic capabilities were applied for the orchestration of the Iranian health system. Results: Particular functional and structural suggestions applicable for designing a ubiquitous resilience model for the country-wide health system are presented in this study. The variables of crisis sensing, opportunity seizing, and reconfiguration are the cornerstones of health system resilience. Conclusion: Well-suited health technology assessment (HTA) and health information system (HIS) play significant roles in the overall strengthening of the health system. All reforms for resilience will have a lasting result when the capabilities created by the resilience model are learned and reused in a dynamic cycle.


Sign in / Sign up

Export Citation Format

Share Document