Relational Path Mining in Structured Knowledge

2015 ◽  
Author(s):  
Mihaela Bornea ◽  
Ken Barker
Keyword(s):  
Structured Knowledge

Role of video assisted teaching in counselling to make decision for organ donation

2019 ◽  
Vol 2 (6) ◽  
pp. 145-148
Author(s):  
Sumesh Kumar ◽  
Sarita Bagaria ◽  
Moirangthem Sonia ◽  
Kailash Kumar Khandelwal
Keyword(s):  
Organ Donation ◽  
Vital Role ◽  
Health Team ◽  
Video Assisted ◽  
Knowledge Questionnaire ◽  
Structured Knowledge ◽  
Spss Software ◽  
Knowledge And Attitude ◽  
Post Assessment

Decision of organ donation has enormous potential to save countless lives and health team play a vital role in counselling of patients and their family in decision making regarding organ donation in the ultimate stage of life. For this reason, evaluation of factors which can enhance knowledge and positive attitude towards organ donation has paramount importance. Present study aims to assess the knowledge and attitude of adults regarding organ donation and to find out role of video assisted teaching in behaviour modulation. Data from 80 participants were collected using a structured knowledge questionnaire. Pre-assessment was done before intervention of video-assisted teaching and post-assessment was done following that. Data were analyzed through SPSS software using Spearman’s Rank Co-relation. We found a negative co-relation (rK= -0.1122) between knowledge & attitude of adults regarding organ donation before video-assisted teaching regarding organ donation. A direct and positive co-relation (rK=+0.294) was observed between knowledge and attitude of adults regarding organ donation after video assisted teaching. We found that video assisted counselling provided by the medical team has great potential in promoting actions regarding organ donation. It is recommended that video assisted counselling should be applied to enhance knowledge and attitude regarding organ donation among general population.

A bootstrapping approach for robust topic analysis

2002 ◽  
Vol 8 (2-3) ◽  
pp. 209-233 ◽  
Author(s):  
OLIVIER FERRET ◽  
BRIGITTE GRAU
Keyword(s):  
Information Extraction ◽  
Large Scale ◽  
Text Summarization ◽  
Great Precision ◽  
Topic Analysis ◽  
Structured Knowledge

Topic analysis is important for many applications dealing with texts, such as text summarization or information extraction. However, it can be done with great precision only if it relies on structured knowledge, which is difficult to produce on a large scale. In this paper, we propose using bootstrapping to solve this problem: a first topic analysis based on a weakly structured source of knowledge, a collocation network, is used for learning explicit topic representations that then support a more precise and reliable topic analysis.

SKANet: Structured Knowledge-Aware Network for Visual Dialog

2021 ◽  
Author(s):  
Lei Zhao ◽  
Lianli Gao ◽  
Yuyu Guo ◽  
Jingkuan Song ◽  
Hengtao Shen
Keyword(s):  
Structured Knowledge

Leveraging a Pharmacogenomics Knowledgebase to Formulate a Drug Response Phenotype Terminology for Genomic Medicine (Preprint)

2021 ◽  
Author(s):  
Yiqing Zhao ◽  
Matthew Brush ◽  
Chen Wang ◽  
Hongfang Liu ◽  
Robert R Freimuth
Keyword(s):  
Drug Response ◽  
Genomic Medicine ◽  
Genetic Mutations ◽  
Gene Products ◽  
Knowledge Model ◽  
Knowledge Models ◽  
Response Phenotype ◽  
Structured Knowledge ◽  
High Level ◽  
Clinical Systems

BACKGROUND Despite the increasing evidence of utility of genomic medicine in clinical practice, systematically integrating genomic medicine information and knowledge into clinical systems with a high-level of consistency, scalability, and computability remains challenging. A comprehensive terminology is required for relevant concepts and the associated knowledge model for representing relationships. OBJECTIVE Our study aims to propose a drug response phenotype terminology to represent relationships between genetic variants and drugs in existing knowledge models. METHODS In this study, we leveraged PharmGKB, a comprehensive pharmacogenomics (PGx) knowledgebase, to formulate a terminology for drug response phenotypes that can represent relationships between genetic mutations and treatments. We evaluated coverage of the terminology through manual review of a randomly selected subset of 200 sentences extracted from genetic reports that contained concepts for “Genes and Gene Products” and “Treatments”. RESULTS Results showed that our proposed drug response phenotype terminology could cover 96% of the drug response phenotypes in genetic reports. Among 18,653 sentences that contained both “Genes and Gene Products” and “Treatments”, 3,011 sentences were able to be mapped to a drug response phenotype in our proposed terminology, among which the most discussed drug response phenotypes were response (994), sensitivity (829), and survival (332). In addition, we were able to re-analyze genetic report context incorporating the proposed terminology and enrich our previously proposed PGx knowledge model to reveal relationships between genetic mutations and treatments. CONCLUSIONS In conclusion, we proposed a drug response phenotype terminology that enhanced structured knowledge representation of genomic medicine.

scholarly journals Question answering from structured knowledge sources

2007 ◽  
Vol 5 (1) ◽  
pp. 20-48 ◽  
Author(s):  
Anette Frank ◽  
Hans-Ulrich Krieger ◽  
Feiyu Xu ◽  
Hans Uszkoreit ◽  
Berthold Crysmann ◽  
...  
Keyword(s):  
Question Answering ◽  
Knowledge Sources ◽  
Structured Knowledge

Information Extraction

2015 ◽  
Author(s):  
Ralph Grishman
Keyword(s):  
Knowledge Representation ◽  
Information Extraction ◽  
Semantic Relations ◽  
Supervised Training ◽  
Unstructured Text ◽  
Structured Knowledge

Information extraction constructs a structured knowledge representation from unstructured text, so that the knowledge may be further used for search, inference, and analysis. Given a specification of select types of entities, semantic relations, and events, it builds a database from instances of this information in text. This chapter describes the stages of processing involved and considers how such systems may be built using hand-coded rules, supervised training, and semi-supervised training.

We Never Built Small Modular Reactors (SMRs), but What Do We Know About Modularization in Construction?

2018 ◽  
Author(s):  
Benito Mignacca ◽  
Giorgio Locatelli ◽  
Mahmoud Alaassar ◽  
Diletta Colette Invernizzi
Keyword(s):  
Nuclear Power ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Project Managers ◽  
Schedule Compression ◽  
Small Modular Reactors ◽  
Key Characteristics ◽  
Additional Costs ◽  
Structured Knowledge ◽  
The Cost

The key characteristics of small modular reactors (SMRs), as their name emphasized, are their size and modularity. Since SMRs are a family of novel reactor designs, there is a gap of empirical knowledge about the cost/benefit analysis of modularization. Conversely, in other sectors (e.g. Oil & Gas) the empirical experience on modularization is much greater. This paper provides a structured knowledge transfer from the general literature (i.e. other major infrastructure) and the Oil & Gas sector to the nuclear power plant construction world. Indeed, in the project management literature, a number of references discuss the costs and benefits determined by the transition from the stick-built construction to modularization, and the main benefits presented in the literature are the reduction of the construction cost and the schedule compression. Additional costs might arise from an increased management hurdle and higher transportation expenses. The paper firstly provides a structured literature review of the benefits and costs of modularization divided into qualitative and quantitative references. In the second part, the paper presents the results of series of interviews with Oil & Gas project managers about the value of modularization in this sector.

scholarly journals Structured knowledge and novel object kinds can be inferred from visual event streams

2017 ◽  
Vol 17 (10) ◽  
pp. 492
Author(s):  
Anna Leshinskaya ◽  
Sharon Thompson-Schill
Keyword(s):  
Novel Object ◽  
Structured Knowledge

scholarly journals A Descriptive Study to Assess the Prevalence of Nomophobia and Knowledge and Effect of Using Smart Phone among College Students in Selected Colleges of Fatehabad, Haryana, with a View to Develop an Information Booklet

2021 ◽  
Vol 8 (13) ◽  
pp. 796-800
Author(s):  
Vaishali Vaishali ◽  
Loyd Melwyn Mandonca ◽  
Seikhoo Bishnoi
Keyword(s):  
College Students ◽  
Mobile Phone ◽  
Smart Phone ◽  
Descriptive Study ◽  
Bachelor's Degree ◽  
Information Booklet ◽  
Knowledge Questionnaire ◽  
Level Of Knowledge ◽  
Smartphone Use ◽  
Structured Knowledge

BACKGROUND Nomophobia an abbreviation for “no-mobile phone phobia” is a fear of being out of mobile phone contact. We wanted to assess the prevalence of nomophobia, knowledge regarding smartphone use, and effect of using smart phones among college students. METHODS A descriptive study was conducted among 250 college students who were perceiving bachelor’s degree in arts in selected colleges of district Fatehabad, Haryana. Nomophobia scale, structured knowledge questionnaire, and checklist were used to collect data. The collected data was statistically analysed by using SPSS Ver. 23. RESULTS The study findings reveal that majority, 140 (56.0 %) of samples have moderate levels of nomophobia. 203 (81.2 %) samples have good knowledge level regarding smartphone. Majority, 188 (75.2 %) of samples had moderate level of effect on their life due to smartphone use. There is significant association between level of nomophobia of samples with years of using mobile phone and frequent reason of using mobile phone. There is significant association between level of knowledge of samples with their age and their education level. There is positive correlation between level of nomophobia and effects of using smart phone among college students. There is negative correlation between level of knowledge and effects of using smart phone. CONCLUSIONS The study findings provide statistical evidence which clearly indicates that there is prevalence of nomophobia and adverse effects of using smartphone on their life. KEYWORDS Nomophobia, Knowledge, Prevalence, Adverse Effect, Smartphone

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