scholarly journals D-SPACES: Implementing Declarative Semantics for Spatially Structured Information

2017 ◽  
Author(s):  
Stefan Haar ◽  
Salim Perchy ◽  
Frank Valencia
Keyword(s):  
Declarative Semantics ◽  
Structured Information

TO THE QUESTION OF THE SYSTEMATIC NATURE OF ELECTRONIC EDUCATIONAL MATERIALS FOR HIGHER EDUCATION

2019 ◽  
pp. 54-62
Author(s):  
K. R. Ovchinnikova
Keyword(s):  
Learning Process ◽  
Information Technologies ◽  
Electronic Materials ◽  
Subject Area ◽  
Design Activity ◽  
Learning Technology ◽  
Educational Materials ◽  
Scientific Publications ◽  
Structured Information ◽  
Single Complex

The relevance of the issue under consideration in the article is connected with the confusion in scientific publications of the concepts of “electronic educational materials” and “electronic educational resources”. The article discusses the concept of “electronic educational materials” from the perspective of general systems theory. And their system character is proved. This allows them to be represented as a single complex of structured information of a specific subject area and didactic materials. These didactic materials support the learning process at all stages of its didactic cycle in accordance with the chosen learning technology based on the didactic capabilities of information technologies. It is concluded that the system of high school electronic materials allows to expand the boundaries of the design activity of the teacher, provide management of the student’s thinking activity, to implement a competence approach to the learning process at university

Explanatory Annotation of Literary Texts and the Reader: Seven Types of Problems

2017 ◽  
Vol 11 (2) ◽  
pp. 212-232 ◽  
Author(s):  
Matthias Bauer ◽  
Angelika Zirker
Keyword(s):  
Text Comprehension ◽  
Best Practice ◽  
Literary Texts ◽  
Structured Information ◽  
Digital Methods ◽  
Common Problems

While most literary scholars wish to help readers understand literary texts by providing them with explanatory annotations, we want to go a step further and enable them, on the basis of structured information, to arrive at interpretations of their own. We therefore seek to establish a concept of explanatory annotation that is reader-oriented and combines hermeneutics with the opportunities provided by digital methods. In a first step, we are going to present a few examples of existing annotations that apparently do not take into account readerly needs. To us, they represent seven types of common problems in explanatory annotation. We then introduce a possible model of best practice which is based on categories and structured along the lines of the following questions: What kind(s) of annotations do improve text comprehension? Which contexts must be considered when annotating? Is it possible to develop a concept of the reader on the basis of annotations—and can, in turn, annotations address a particular kind of readership, i.e.: in how far can annotations be(come) individualised?

A FRAME WORK FOR WEB INFORMATION EXTRACTION AND ANALYSIS

2013 ◽  
Vol 7 (2) ◽  
pp. 574-579 ◽  
Author(s):  
Dr Sunitha Abburu ◽  
G. Suresh Babu
Keyword(s):  
Information Extraction ◽  
Data Extraction ◽  
Research Work ◽  
Web Pages ◽  
Web Documents ◽  
E Learning ◽  
Structured Information ◽  
Frame Work ◽  
Effective Decision ◽  
The Web

Day by day the volume of information availability in the web is growing significantly. There are several data structures for information available in the web such as structured, semi-structured and unstructured. Majority of information in the web is presented in web pages. The information presented in web pages is semi-structured.  But the information required for a context are scattered in different web documents. It is difficult to analyze the large volumes of semi-structured information presented in the web pages and to make decisions based on the analysis. The current research work proposed a frame work for a system that extracts information from various sources and prepares reports based on the knowledge built from the analysis. This simplifies  data extraction, data consolidation, data analysis and decision making based on the information presented in the web pages.The proposed frame work integrates web crawling, information extraction and data mining technologies for better information analysis that helps in effective decision making.   It enables people and organizations to extract information from various sourses of web and to make an effective analysis on the extracted data for effective decision making.  The proposed frame work is applicable for any application domain. Manufacturing,sales,tourisum,e-learning are various application to menction few.The frame work is implemetnted and tested for the effectiveness of the proposed system and the results are promising.

scholarly journals Planning the Episode: Home Care Admission Nurse Decision-Making Regarding the Patient Visit Pattern

2021 ◽  
pp. 108482232199077
Author(s):  
Paulina S. Sockolow ◽  
Kathryn H. Bowles ◽  
Carl Pankok ◽  
Yingjie Zhou ◽  
Sheryl Potashnik ◽  
...  
Keyword(s):  
Decision Making ◽  
Home Health Care ◽  
Clinical Decision ◽  
Structured Interviews ◽  
Skilled Nursing ◽  
Patient Interaction ◽  
Visit Frequency ◽  
Nursing Visit ◽  
Structured Information ◽  
Episode Duration

During home health care (HHC) admissions, nurses provide input into decisions regarding the skilled nursing visit frequency and episode duration. This important clinical decision can impact patient outcomes including hospitalization. Episode duration has recently gained greater importance due to the Centers for Medicare and Medicaid Services (CMS) decrease in reimbursable episode length from 60 to 30 days. We examined admissions nurses’ visit pattern decision-making and whether it is influenced by documentation available before and during the first home visit, agency standards, other disciplines being scheduled, and electronic health record (EHR) use. This observational mixed-methods study included admission document analysis, structured interviews, and a think-aloud protocol with 18 nurses from 3 diverse HHC agencies (6 at each) admitting 2 patients each (36 patients). Findings show that prior to entering the home, nurses had an information deficit; they either did not predict the patient’s visit frequency and episode duration or stated them based on experience with similar patients. Following patient interaction in the home, nurses were able to make this decision. Completion of documentation using the EHR did not appear to influence visit pattern decisions. Patient condition and insurance restrictions were influential on both frequency and duration. Given the information deficit at admission, and the delay in visit pattern decision making, we offer health information technology recommendations on electronic communication of structured information, and EHR documentation and decision support.

An Explainable Person-Job Fit Model Incorporating Structured Information

2021 ◽  
Author(s):  
Yunchong Zhang ◽  
Baisong Liu ◽  
Jiangbo Qian ◽  
Jiangcheng Qin ◽  
Xueyuan Zhang ◽  
...  
Keyword(s):  
Job Fit ◽  
Structured Information

Disaster Management during Pandemic: A Big Data-Centric Approach

2021 ◽  
pp. 2140003
Author(s):  
Mohamed Elsotouhy ◽  
Geetika Jain ◽  
Archana Shrivastava
Keyword(s):  
Big Data ◽  
Disaster Management ◽  
Crisis Response ◽  
Unstructured Data ◽  
Management Theory ◽  
Management Approach ◽  
Text Analytics ◽  
The Past ◽  
Structured Information ◽  
Data Files

The concept of big data (BD) has been coupled with disaster management to improve the crisis response during pandemic and epidemic. BD has transformed every aspect and approach of handling the unorganized set of data files and converting the same into a piece of more structured information. The constant inflow of unstructured data shows the research lacuna, especially during a pandemic. This study is an effort to develop a pandemic disaster management approach based on BD. BD text analytics potential is immense in effective pandemic disaster management via visualization, explanation, and data analysis. To seize the understanding of using BD toward disaster management, we have taken a comprehensive approach in place of fragmented view by using BD text analytics approach to comprehend the various relationships about disaster management theory. The study’s findings indicate that it is essential to understand all the pandemic disaster management performed in the past and improve the future crisis response using BD. Though worldwide, all the communities face big chaos and have little help reaching a potential solution.

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