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Database technology on the web

E. Bertino, A. Bouguettaya
2002 IEEE Internet Computing  
The Web now encompasses all types of data -totally unstructured, semistructured, and highly structured -relating to all aspects of economic, social, and political life. 1 The information age revolution  ...  Their technique extracts data from Web sites and stores it in databases that can be used to generate new sites.  ... 
doi:10.1109/mic.2002.1020322 fatcat:j5r23j3qvjfxnkfqxqgtvezzma

Design and Implementation of the Physical Layer in WebBases: The XRover Experience [chapter]

Hasan Davulcu, Guizhen Yang, Michael Kifer, I. V. Ramakrishnan
2000 Lecture Notes in Computer Science  
This layer is primarily responsible for automatically locating and extracting dynamic data from Web sites, i.e data that can only be obtained by form fill-outs.  ...  forms at each of these sites.  ...  Our architecture makes it possible to automate data extraction from web data sources to a much higher degree than was previously possible.  ... 
doi:10.1007/3-540-44957-4_73 fatcat:a62evfpmt5b5nbfxgpv7tb32u4

Towards an Integrated Cyberinfrastructure for Scalable Data-driven Monitoring, Dynamic Prediction and Resilience of Wildfires

Ilkay Altintas, Jessica Block, Raymond de Callafon, Daniel Crawl, Charles Cowart, Amarnath Gupta, Mai Nguyen, Hans-Werner Braun, Jurgen Schulze, Michael Gollner, Arnaud Trouve, Larry Smarr
2015 Procedia Computer Science  
This paper summarizes the approach and early results of the WIFIRE project to integrate networked observations, e.g., heterogeneous satellite data and real-time remote sensor data with computational techniques  ...  As a first time example of such an integrated system, the WIFIRE project is building an end-to-end cyberinfrastructure for real-time and data-driven simulation, prediction and visualization of wildfire  ...  WIFIRE team is thankful for the valuable insights shared by our advisory board members and the collaboration of the wildfire modeling research community in guiding our data integration and modeling goals  ... 
doi:10.1016/j.procs.2015.05.296 fatcat:ogorqkg3xfhmxos5hketavkpua

An Analysis Model of Psychological Resilience of Outstanding Poor College Students Based on Network Big Data and Mobile Computing

Jian Xiao, Mengli Zhu, Xin Ning
2022 Wireless Communications and Mobile Computing  
This paper analyzes the big data algorithm and the method of psychological elasticity construction using mobile computing technology and comes to the conclusion that under the background of big data, psychological  ...  Exploring the structure and development law of mental resilience of outstanding poor college students is of reference significance to the emotional education and spiritual growth of teenagers.  ...  Big Data Algorithms. Data mining is the process of extracting potentially useful information and knowledge from large, incomplete, noisy, ambiguous, and random data [24] .  ... 
doi:10.1155/2022/2845259 fatcat:7qzi6kedezht5a6phtkn7ss7aq

A NoSQL Approach for Aspect Mining of Cultural Heritage Streaming Data

Gerasimos Vonitsanos, Andreas Kanavos, Alaa Mohasseb, Dimitrios Tsolis
2019 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)  
Big data analytics are especially important in the case of cultural content management where reviews and opinions may be analyzed in order to extract meaningful representations.  ...  In this paper, we present a NoSQL database approach for aspect mining of a cultural heritage scenario by taking advantage of Apache Spark streaming architecture.  ...  The objective of this experiment is to examine whether our approach extracts and categorizes correctly aspects from a real time data analytics platform. VI.  ... 
doi:10.1109/iisa.2019.8900770 dblp:conf/iisa/VonitsanosKMT19 fatcat:vqrlkkrxtbdwjd7ebchbreypgq


M. Ainur Rizqi
2017 TEFLIN Journal  
An in-depth semistructured interview was conducted with these two key aims: (1) to identify sources of stress that she dealt with; and (2) to introduce aspects that helped her become resilient within that  ...  While stress remains a classic problem in teaching, the concept of resilience is central to help teachers find the joy of their teaching and make them stay longer at the job.  ...  FINDINGS AND DISCUSSION This section describes the findings with regard to the two research questions concerning the teacher's sources of stress and key aspects to become resilient.  ... 
doi:10.15639/teflinjournal.v28i1/22-37 fatcat:irgloznhrrczfngfb5iwmfu3dq

Big Data Management for Healthcare Systems: Architecture, Requirements, and Implementation

Naoual El aboudi, Laila Benhlima
2018 Advances in Bioinformatics  
The main contribution of this paper is proposing an extensible big data architecture based on both stream computing and batch computing in order to enhance further the reliability of healthcare systems  ...  The growing amount of data in healthcare industry has made inevitable the adoption of big data techniques in order to improve the quality of healthcare delivery.  ...  Another important aspect of big data is complexity; it arises from the fact that big data is often produced through a bunch of sources, which implies, to perform many operations over the data, these operations  ... 
doi:10.1155/2018/4059018 pmid:30034468 pmcid:PMC6032968 fatcat:yrfof632dbhh7fyak2yabdd474

Resilient dependable cyber-physical systems: a middleware perspective

Grit Denker, Nikil Dutt, Sharad Mehrotra, Mark-Oliver Stehr, Carolyn Talcott, Nalini Venkatasubramanian
2012 Journal of Internet Services and Applications  
In this paper, we address the role of middleware in enabling robust and resilient cyber-physical systems (CPSs) of the future.  ...  In particular, we will focus on how adaptation services can be used to improve dependability in instrumented cyber-physical systems based on the principles of "computational reflection."  ...  Several key aspects of dependability must be considered to enable resilience in CPS environments.  ... 
doi:10.1007/s13174-011-0057-4 fatcat:qaolc4dtbbe55ccqkzmcvefsv4

Artificial intelligence driven resiliency with machine learning and deep learning components

Bahman Zohuri, Farhang Mossavar Rahmani
2020 Japan Journal of Research  
Artificial intelligence driven resiliency with machine learning and deep learning components. Japan J Res. 2019;1(1):1-5.  ...  Big data solutions have a direct impact and changing the way the organization needs to work with help from AI and its components ML and DL. In this article, we discuss these topics.  ...  One of the critical aspects of the Business Resilience System is the Risk Analysis and Risk Assessment Process.  ... 
doi:10.33425/2690-8077.1002 fatcat:w2qrb7vmxrdjfp7igrxtre47gq

Artificial Intelligence Driven Resiliency with Machine Learning and Deep Learning Components

2019 International Journal of Nanotechnology and Nanomedicine  
Big data solutions have a direct impact and changing the way the organization needs to work with help from AI and its components ML and DL. In this article, we discuss these topics.  ...  The future of any business from banking, e-commerce, real estate, homeland security, healthcare, and marketing, the stock market, manufacturing, education, and retail to government organizations depends  ...  One of the critical aspects of the Business Resilience System is the Risk Analysis and Risk Assessment Process.  ... 
doi:10.33140/ijnn.04.02.03 fatcat:7pmwzimmq5cuzp2tkialawrbu4

Combining model-driven engineering and sewerage networks: towards a generic representation

Yassine Bel-Ghaddar, Abderrahmane Seriai, Ahlame Begdouri, Carole Delenne, Nanee Chahinian, Mustapha Derras
2020 2020 6th IEEE Congress on Information Science and Technology (CiSt)  
collected from different sources, generate complexity in terms of on-the-field interventions efficiency.  ...  source and for each single data provided by a source.  ...  For example, the location of sewer manholes from images. • SemiStructured sources: whose formats require simple pre-processing before extracting business data about a network.  ... 
doi:10.1109/cist49399.2021.9357171 fatcat:2gzh42ywgjfp3guoeuznsf3yqy

Exploratory Analysis of Fundamental Spiritual Support Factors to a Positive Attitude in Patients with COVID-19 Using Natural-Language Processing Algorithms

Jorge Sánchez-Garcés, Javier Linkolk López-Gonzales, Miguel Palacio-Farfán, Víctor Coronel-Sacón, Yonny Ferney-Teheran, Jahisber Peñuela-Pineda, Himer Avila-George
2021 Applied Sciences  
All this contributed to the positive attitude of the interviewees during the process of recovery from the disease.  ...  Spiritual resilience stood out the most of all key phrases of the code group tables.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11209524 fatcat:d73fzp5eiffjdnto66nvzfs2ba

Reflection, Resilience and Role Stress among Iranian EFL Teachers: A Mixed Methods Study

Mohsen Shirazizadeh, Leila Tajik, Hanieh Amanzadeh
2019 Issues in language teaching  
Data were transcribed, coded and thematically structured based on a grounded theoretical perspective.  ...  Metacognitive and practical reflection were also found to be significant predictors of teachers' resilience.  ...  (Amir, 29 years old) Reflection leads to resilience and stress through making teachers prepared and knowledgeable This second theme which we extracted from our interview data in response to the third  ... 
doi:10.22054/ilt.2020.48955.448 doaj:9695aa51836043bcb48c662cd5e376fa fatcat:y32zs3bm4zevnl334zott4m3iu

The Magnetic Couples Study: protocol for a mixed methods prospective cohort study of HIV-serodifferent heterosexual couples' perspectives and use of pre-exposure prophylaxis (PrEP)

James M. McMahon, Janie Simmons, Jessica E. Haberer, Sharon Mannheimer, Natalie M. Leblanc, Leilani Torres, Robert Quiles, Guillermo Aedo, Anabel Javier, Amy Braksmajer, Graham Harriman, Nicole Trabold (+6 others)
2021 BMJ Open  
In-depth semistructured qualitative interviews were conducted with a subsample of 25 couples.  ...  Actor-partner interdependence modelling using multilevel analysis will be employed for the analysis of longitudinal dyadic data. Framework analysis will be used to analyse qualitative data.  ...  assistance with R56 qualitative data management; Dr Brent Johnson for quantitative data management consultation; and Marilyn Nickerson and Anne Woodruff for administrative assistance.  ... 
doi:10.1136/bmjopen-2021-048993 pmid:34210734 pmcid:PMC8252879 fatcat:icbydljgobd2pbadltsg6eytjm

MONGOOSE: MONitoring Global Online Opinions via Semantic Extraction

Varun Bhagwan, Tyrone Grandison, Alfredo Alba, Daniel Gruhl, Jan Pieper
2009 2009 IEEE International Conference on Cloud Computing  
If this initial data extraction, translation and loading of information (known as ETL in the database world) can be abstracted for these web sources, it would provide an important core technology on which  ...  Information gathered from free and public sources on the Web is frequently integrated with enterprise and proprietary data to create sophisticated service systems able to provide insight in an increasing  ...  Analytics efforts seek to extract interesting and often hidden "nuggets" from within their data by both looking more deeply at each source document, as well as looking across all data.  ... 
doi:10.1109/cloud.2009.85 dblp:conf/IEEEcloud/BhagwanGAGP09 fatcat:qzfuztt3szep3c53daocxn5poq
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