COVID Emergency Handlers to Invoke Needful Services Dynamically with Contextual Data

2022 ◽  
pp. 469-482
Author(s):  
S. Subbulakshmi ◽  
H. Vishnu Narayanan ◽  
R. N. Adarsh ◽  
Fawaz Faizi ◽  
A. K. Arun
Keyword(s):  
Contextual Data

A Formal Model for Managing Multiple Observation Data in Agriculture

2019 ◽  
Vol 15 (3) ◽  
pp. 79-100 ◽  
Author(s):  
Watanee Jearanaiwongkul ◽  
Frederic Andres ◽  
Chutiporn Anutariya
Keyword(s):  
Search Engines ◽  
Question Answering ◽  
Formal Model ◽  
Theoretical Framework ◽  
Similarity Function ◽  
Observation Data ◽  
Contextual Data ◽  
Rule Based ◽  
Key Characteristics

Nowadays, farmers can search for treatments for their plants using search engines and applications. Most existing works are developed in the form of rule-based question answering platforms. However, an observation could be incorrectly given by the farmer. This work recommends that diseases and treatments must be considered from a set of related observations. Thus, we develop a theoretical framework for systems to manage a farmer's observation data. We investigate and formalize desirable characteristics of such systems. The observation data is attached with a geolocation in which related contextual data is found. The framework is formalized based on algebra, in which required types and functions are identified. Its key characteristics are described by: (1) the defined type called warncons for representing observation data; (2) the similarity function for warncons; and (3) the warncons composition function for composing similar warncons. Finally, we show that the framework helps observation data to become richer and improve advice-finding.

Methods for detecting and correcting contextual data quality problems

2021 ◽  
Vol 25 (4) ◽  
pp. 763-787
Author(s):  
Alladoumbaye Ngueilbaye ◽  
Hongzhi Wang ◽  
Daouda Ahmat Mahamat ◽  
Ibrahim A. Elgendy ◽  
Sahalu B. Junaidu
Keyword(s):  
Data Quality ◽  
Quality Evaluation ◽  
Web Applications ◽  
Support Vector ◽  
Similarity Metrics ◽  
Distributed Data ◽  
Contextual Data ◽  
Formal Taxonomy ◽  
E Learning ◽  
High Scalability

Knowledge extraction, data mining, e-learning or web applications platforms use heterogeneous and distributed data. The proliferation of these multifaceted platforms faces many challenges such as high scalability, the coexistence of complex similarity metrics, and the requirement of data quality evaluation. In this study, an extended complete formal taxonomy and some algorithms that utilize in achieving the detection and correction of contextual data quality anomalies were developed and implemented on structured data. Our methods were effective in detecting and correcting more data anomalies than existing taxonomy techniques, and also highlighted the demerit of Support Vector Machine (SVM). These proposed techniques, therefore, will be of relevance in detection and correction of errors in large contextual data (Big data).

scholarly journals Uptake of Childcare Arrangements—Grandparental Availability and Availability of Formal Childcare

2021 ◽  
Vol 10 (2) ◽  
pp. 50
Author(s):  
Naomi Biegel ◽  
Karel Neels ◽  
Layla Van den Berg
Keyword(s):  
Decision Making ◽  
Informal Care ◽  
Regression Models ◽  
Local Level ◽  
Formal Care ◽  
Multinomial Regression ◽  
Contextual Data ◽  
Care Arrangement ◽  
Combined Use ◽  
Formal Childcare

Grandparents constitute an important source of childcare to many parents. Focusing on the Belgian context, this paper improves our understanding of childcare decision-making by investigating how formal childcare availability and availability of grandparents affect childcare arrangements. By means of multinomial regression models we simultaneously model uptake of formal and informal childcare by parents. Combining linked microdata from the Belgian censuses with contextual data on childcare at the level of municipalities, we consider formal childcare availability at a local level, while including a wide array of characteristics which may affect grandparental availability. Results indicate that increasing formal care crowds-out informal care as the sole care arrangement, whereas combined use of formal and informal care becomes more prevalent. Characteristics indicating a lack of grandmaternal availability increase uptake of formal care and inhibit to a lesser extent the uptake of combined formal and informal care. While increasing formal care substitutes informal care use, the lack of availability of informal care by grandparents may be problematic, particularly for those families most prone to use informal care.

Mapping the urban environment using real-time physiological monitoring

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dimitra Dritsa ◽  
Nimish Biloria
Keyword(s):  
Data Collection ◽  
Conceptual Model ◽  
Urban Environment ◽  
Physiological Responses ◽  
Physiological Data ◽  
Contextual Data ◽  
Content Type ◽  
The Relationship ◽  
The City ◽  
Urban Stress

PurposeThis paper presents a critical review of studies which map the urban environment using continuous physiological data collection. A conceptual model is consequently presented for mitigating urban stress at the city and the user level.Design/methodology/approachThe study reviews relevant publications, examining the tools used for data collection and the methods used for data analysis and data fusion. The relationship between urban features and physiological responses is also examined.FindingsThe review showed that the continuous monitoring of physiological data in the urban environment can be used for location-aware stress detection and urban emotion mapping. The combination of physiological and contextual data helps researchers understand how the urban environment affects the human body. The review indicated a relationship between some urban features (green, land use, traffic, isovist parameters) and physiological responses, though more research is needed to solidify the existence of the identified links. The review also identified many theoretical, methodological and practical issues which hinder further research in this area.Originality/valueWhile there is large potential in this field, there has been no review of studies which map continuously physiological data in the urban environment. This study covers this gap and introduces a novel conceptual model for mitigating urban stress.

Collaborative Intent Prediction with Real-Time Contextual Data

2017 ◽  
Vol 35 (4) ◽  
pp. 1-33 ◽  
Author(s):  
Yu Sun ◽  
Nicholas Jing Yuan ◽  
Xing Xie ◽  
Kieran McDonald ◽  
Rui Zhang
Keyword(s):  
Real Time ◽  
Contextual Data ◽  
Intent Prediction

scholarly journals Challenges of Nigerian Accounting Postgraduate Students in Taking up Stance in Ph.D. Theses in Bayero University, Kano, Nigeria

2021 ◽  
Vol 10 (4) ◽  
pp. 175
Author(s):  
Sani Yantandu Uba ◽  
Julius Irudayasamy ◽  
Carmel Antonette Hankins
Keyword(s):  
Textual Analysis ◽  
English For Specific Purposes ◽  
Traditional Practices ◽  
Journal Articles ◽  
Linguistic Features ◽  
Chi Square ◽  
Contextual Data ◽  
Postgraduate Students ◽  
Mixed Methods Approach ◽  
Nigerian University

This paper investigates the use of stance linguistic features in accounting Ph.D. theses in a Nigerian university. We adopted a mixed-methods approach by combining a textual analysis of the theses and explored the context of writing of the participants similar to Swale’s textography approach. We compiled three corpora: Bayero University corpus of six accounting Ph.D. theses (BUK corpus); a United Kingdom corpus of six accounting PhD theses (UK corpus) and a corpus of eleven journal articles of accounting (JAA corpus). The results of textual analysis indicate that there is a higher frequency of hedges in all the three corpora than other stance features, followed by boosters, then attitudinal markers, and explicit self-mention features. One striking finding from the BUK corpus is that the authors are rarely used self-mention features compared to authors from other two corpora. However, the result of the chi-square indicates that the differences among the three corpora’s use of stance features are insignificant. The contextual data suggests that non-teaching of English for specific purposes and the traditional practices of Bayero University might be some of the possible factors that constrained authors’ use of stance linguistic features. We recommend introduction of teaching English for specific purposes on postgraduate programmes in Nigerian universities.

scholarly journals An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution

2020 ◽  
Author(s):  
Ryuto Konno ◽  
Yuichiroh Matsubayashi ◽  
Shun Kiyono ◽  
Hiroki Ouchi ◽  
Ryo Takahashi ◽  
...  
Keyword(s):  
Empirical Study ◽  
Data Augmentation ◽  
Anaphora Resolution ◽  
Contextual Data ◽  
Zero Anaphora
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