scholarly journals Epistemic Integrity Constraints for Ontology-Based Data Management

2020 ◽  
Vol 34 (03) ◽  
pp. 2790-2797
Author(s):  
Marco Console ◽  
Maurizio Lenzerini
Keyword(s):  
Information System ◽  
Data Management ◽  
Static Analysis ◽  
Formal Language ◽  
Data Sources ◽  
Integrity Constraints ◽  
Basic Knowledge ◽  
Specific Language ◽  
Powerful Knowledge ◽  
Decidability And Complexity

Ontology-based data management (OBDM) is a powerful knowledge-oriented paradigm for managing data spread over multiple heterogeneous sources. In OBDM, the data sources of an information system are handled through the reconciled view provided by an ontology, i.e., the conceptualization of the underlying domain of interest expressed in some formal language. In any information systems where the basic knowledge resides in data sources, it is of paramount importance to specify the acceptable states of such information. Usually, this is done via integrity constraints, i.e., requirements that the data must satisfy formally expressed in some specific language. However, while the semantics of integrity constraints are clear in the context of databases, the presence of inferred information, typical of OBDM systems, considerably complicates the matter. In this paper, we establish a novel framework for integrity constraints in the OBDM scenarios, based on the notion of knowledge state of the information system. For integrity constraints in this framework, we define a language based on epistemic logic, and study decidability and complexity of both checking satisfaction and performing different forms of static analysis on them.

scholarly journals DBE2 – Management of experimental data for the VANTED system

2011 ◽  
Vol 8 (2) ◽  
pp. 85-94
Author(s):  
Hendrik Mehlhorn ◽  
Falk Schreiber
Keyword(s):  
Experimental Data ◽  
Information System ◽  
Data Integration ◽  
Data Management ◽  
Data Storage ◽  
Controlled Vocabulary ◽  
Biological Experiment ◽  
Experiment Data ◽  
Measurement Units ◽  
Persistent Data

Summary DBE2 is an information system for the management of biological experiment data from different data domains in a unified and simple way. It provides persistent data storage, worldwide accessibility of the data and the opportunity to load, save, modify, and annotate the data. It is seamlessly integrated in the VANTED system as an add-on, thereby extending the VANTED platform towards data management. DBE2 also utilizes controlled vocabulary from the Ontology Lookup Service to allow the management of terms such as substance names, species names, and measurement units, aiming at an eased data integration.

Capturing sexual assault data: An information system designed by forensic clinicians and healthcare researchers

2017 ◽  
Vol 47 (1) ◽  
pp. 46-55 ◽  
Author(s):  
S Aqif Mukhtar ◽  
Debbie A Smith ◽  
Maureen A Phillips ◽  
Maire C Kelly ◽  
Renate R Zilkens ◽  
...  
Keyword(s):  
Information System ◽  
Sexual Assault ◽  
Data Management ◽  
Sexual Violence ◽  
Western Australia ◽  
Management System ◽  
Data Management System ◽  
Quality Data ◽  
High Quality ◽  
High Quality Data

Background: The Sexual Assault Resource Center (SARC) in Perth, Western Australia provides free 24-hour medical, forensic, and counseling services to persons aged over 13 years following sexual assault. Objective: The aim of this research was to design a data management system that maintains accurate quality information on all sexual assault cases referred to SARC, facilitating audit and peer-reviewed research. Methods: The work to develop SARC Medical Services Clinical Information System (SARC-MSCIS) took place during 2007–2009 as a collaboration between SARC and Curtin University, Perth, Western Australia. Patient demographics, assault details, including injury documentation, and counseling sessions were identified as core data sections. A user authentication system was set up for data security. Data quality checks were incorporated to ensure high-quality data. Results: An SARC-MSCIS was developed containing three core data sections having 427 data elements to capture patient’s data. Development of the SARC-MSCIS has resulted in comprehensive capacity to support sexual assault research. Four additional projects are underway to explore both the public health and criminal justice considerations in responding to sexual violence. The data showed that 1,933 sexual assault episodes had occurred among 1881 patients between January 1, 2009 and December 31, 2015. Sexual assault patients knew the assailant as a friend, carer, acquaintance, relative, partner, or ex-partner in 70% of cases, with 16% assailants being a stranger to the patient. Conclusion: This project has resulted in the development of a high-quality data management system to maintain information for medical and forensic services offered by SARC. This system has also proven to be a reliable resource enabling research in the area of sexual violence.

scholarly journals Using ontology merging for the integration of information systems and the production capacity planning system

2019 ◽  
pp. 401-408
Author(s):  
N Yarushkina ◽  
A Romanov ◽  
A Filippov ◽  
A Dolganovskaya ◽  
M Grigoricheva
Keyword(s):  
Information System ◽  
Information Systems ◽  
Relational Database ◽  
Data Model ◽  
Capacity Planning ◽  
Production Capacity ◽  
Semantic Integration ◽  
Data Sources ◽  
Planning System ◽  
Ontology Merging

This article describes the method of integrating information systems of an aircraft factory with the production capacity planning system based on the ontology merging. The ontological representation is formed for each relational database (RDB) of integrated information systems. The ontological representation is formed in the process of analyzing the structure of the relational database of the information system (IS). Based on the ontological representations merging the integrating data model is formed. The integrating data model is a mechanism for semantic integration of data sources.

scholarly journals Employing GIS towards shaping a smart and sustainable future: a brief policy survey of global and Taiwan’s efforts

2019 ◽  
Vol 2 ◽  
pp. 1-8
Author(s):  
Chih-Wei Chen ◽  
Ching-Yi Lin ◽  
Chine-Hung Tung ◽  
Hsiung-Ming Liao ◽  
Jr-Jie Jang ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Data Management ◽  
Cyber Security ◽  
Open Data ◽  
Geographic Information ◽  
The Sustainable Development ◽  
Digital Era ◽  
Sustainable Future ◽  
Strategic Policies

<p><strong>Abstract.</strong> Since UN announced 17 SDGs in 2015, many countries around the world have been endeavouring to promote SDGs towards building a sustainable future. Given the disparity of the regional development, national government is suggested to establish localised sustainable vision. Drawing on UN SDGs with targets and corresponding indicators, meanwhile considering local circumstances and sustainable vision, government further seeks to establish localised SDGs with related targets and indicators. Meanwhile, under the digital era, digital technologies have been extensively employed as the smart tool in many fields nowadays, and Geographic Information System (GIS) has been developed as the platform to visualise the SDGs progress in UN and many countries. On the above basis, this paper further demonstrates Taiwan’s efforts to establish localised SDGs, and develop National Geographic Information System (NGIS) to implement the sustainable development in Taiwan, monitor the SDGs progress, and provide feedback to policymakers to further make strategic policies in a top-down approach, meanwhile develop Community Geographic Information System (CGIS) to encourage stakeholders and citizens to harness the concept of CGIS to proactively create and tell their own stories and promote Regional Revitalisation policy in a bottom-up approach. Moreover, GIS could not function well without appropriate data management including massive data and open data policy, well-built digital infrastructure, as well as the selected “right data” and cyber security. Hence, with appropriate data management, GIS as a smart tool could facilitate the promotion and implementation of SDGs in an intuitive manner towards shaping a smart and sustainable future.</p>

scholarly journals ANALISIS PENERAPAN SISTEM INFORMASI MANAJEMEN PADA TOKO HAI BABY SHOP DI KABUPATEN TULUNGAGUNG

2021 ◽  
Author(s):  
Eriko Febriansyah ◽  
Andara Muhlisidina ◽  
Febby Nilam sari
Keyword(s):  
Information System ◽  
Management Information System ◽  
Financial Data ◽  
Data Sources ◽  
Primary Data ◽  
Management Information ◽  
Procedure Guidelines ◽  
Library Studies ◽  
A Company

The research aims to know the application of the Management Information System used in the management of financial data to be more effective for the long-term continuity in the Pratama’s Baby Shop store. In an enterprise the revenue and expense cycles are important, for economic growth can be seen from both cycles. Baby Shop Hai stores is a company that movesin to buy baby things. The method of data collection used is with observation, and library studies. The data sources used are the primary data of the general images of the company, the corporate documents, transaction evidence, company procedure guidelines on the Management information system income and expenses. Studies indicate that sales operations still have a few flaws and that improvements should be made especially to running systems.

scholarly journals THE HOSPITAL EPIDEMIOLOGICAL SURVEILLANCE NETWORK AS NA INSRUMENT FOR THE STRENGTHENING OF COMPULSORY DISEASE AND CONSEQUENTIAL NOTIFICATION, PERNAMBUCO 2018

2021 ◽  
pp. 12
Author(s):  
◽  
Keyword(s):  
Decision Making ◽  
Information System ◽  
Descriptive Study ◽  
Health Surveillance ◽  
Data Sources ◽  
Epidemiological Surveillance ◽  
Surveillance Network ◽  
Study Type ◽  
Compulsory Notification ◽  
Made In

Objetive: Describe the contribution of the State Hospital Epidemiological Surveillance Network of Pernambuco (VEH/PE) for the registration of cases of diseases and conditions of immediate compulsory notification, in Pernambuco, 2018. Methods: Descriptive study, type of experience report, of surveillance of 31 hospitals of the VEH / PE Network, in 2018. The data sources were from the Notifiable Diseases Information System and the data referring to DNCI were from FormSus, available on the Center’s Platform Strategic Health Surveillance Information. The proportions of notifications for Compulsory Notification Disease from the VEH/PE Network were calculated in relation to the total number of notifications made at Sinan. Results: Among the DNC notifications registered by Sinan (Net, Online and Web influenza, 30,1% came from the 31 hospitals of the VEH/PE Network. When analyzed, by information system, the Network was responsible for 28,4% of the records made in Sinan Net by 2.687 reporting units, in Sinan Online, 25,9% in relation to 1.247 reporting units and for Sinan Web Influenza the contribution was 82,3% in relation to the 69 reporting units. Immediate compulsory notification diseases/conditions communicated to CIEVS, 50,2% of the communications came from the Network As for the opportunity for immediate notification of diseases and conditions, 90,7% were communicated in due time by the VEH/PE Network. Conclusion: It is important to strengthen the Network aiming at surveillance, disease/disease control and operationalization of information systems, in order to support the manager in decision making.

Sign in / Sign up

Export Citation Format

Share Document