Structure, Logic, and Semantics in ad hoc Classification Schemes Applied to Web-Based Libraries in the Field of Education

2013 ◽  
Author(s):  
Michèle Hudon ◽  
Sabine Mas ◽  
Dominique Gazo
Keyword(s):  
Ad Hoc ◽  
Knowledge Organization ◽  
Theoretical Research ◽  
Web Based ◽  
Classification Schemes ◽  
Research Traditions ◽  
Local Perspectives

This project focuses on a sample of six Web-based libraries in the field of Education. Our analysis explores structural, logic and semantic dimensions, supported by theoretical research in classification and in the area of personal document spaces organization, and by findings of previous analyses of Web directory structures. Our findings expand our understanding of how Web-based resources in education are organized, helping us determine whether categorization schemes and keywords reflect anything else than local perspectives and systems, while bringing together two research traditions issued respectively from knowledge organization and from document and records management.Ce projet est axé sur un échantillon de six bibliothèques sur le Web dans le domaine de l’éducation. Notre analyse explore les dimensions structurelles, logiques et sémantiques, corroborée par la recherche théorique en classification et dans le domaine de l’organisation des espaces documentaires personnels, et par les résultats d’analyses préliminaires de la structure des répertoires Web. Nos résultats développent notre compréhension sur la manière dont les ressources Web en éducation sont organisées, nous aidant ainsi à déterminer… 

Implementation of Web Application for Disease Prediction Using AI

2020 ◽  
pp. 5-9
Author(s):  
Manasvi Srivastava ◽  
◽  
Vikas Yadav ◽  
Swati Singh ◽  
◽  
...  
Keyword(s):  
Web Application ◽  
Ad Hoc ◽  
Data Extraction ◽  
Extraction Methods ◽  
Web Page ◽  
Web Based ◽  
Web Extraction ◽  
Web Scraping ◽  
Audio Video ◽  
Manual Extraction

The Internet is the largest source of information created by humanity. It contains a variety of materials available in various formats such as text, audio, video and much more. In all web scraping is one way. It is a set of strategies here in which we get information from the website instead of copying the data manually. Many Web-based data extraction methods are designed to solve specific problems and work on ad-hoc domains. Various tools and technologies have been developed to facilitate Web Scraping. Unfortunately, the appropriateness and ethics of using these Web Scraping tools are often overlooked. There are hundreds of web scraping software available today, most of them designed for Java, Python and Ruby. There is also open source software and commercial software. Web-based software such as YahooPipes, Google Web Scrapers and Firefox extensions for Outwit are the best tools for beginners in web cutting. Web extraction is basically used to cut this manual extraction and editing process and provide an easy and better way to collect data from a web page and convert it into the desired format and save it to a local or archive directory. In this paper, among others the kind of scrub, we focus on those techniques that extract the content of a Web page. In particular, we use scrubbing techniques for a variety of diseases with their own symptoms and precautions.

scholarly journals Knowledge machines

2018 ◽  
Vol 33 ◽  
Author(s):  
Paul Smart
Keyword(s):  
Intelligent Systems ◽  
Ad Hoc ◽  
Knowledge Engineering ◽  
Theory And Practice ◽  
Philosophical Study ◽  
Engineering Systems ◽  
Web Based ◽  
Knowledge Based ◽  
Data Formats

AbstractThe World Wide Web has had a notable impact on a variety of epistemically relevant activities, many of which lie at the heart of the discipline of knowledge engineering. Systems like Wikipedia, for example, have altered our views regarding the acquisition of knowledge, while citizen science systems such as Galaxy Zoo have arguably transformed our approach to knowledge discovery. Other Web-based systems have highlighted the ways in which the human social environment can be used to support the development of intelligent systems, either by contributing to the provision of epistemic resources or by helping to shape the profile of machine learning. In the present paper, such systems are referred to asknowledge machines. In addition to providing an overview of the knowledge machine concept, the present paper reviews a number of issues that are associated with the scientific and philosophical study of knowledge machines. These include the potential impact of knowledge machines for the theory and practice of knowledge engineering, the role of social participation in the realization of knowledge-based processes, and the role of standardized, semantically enriched data formats in supporting thead hocassembly of special-purpose knowledge systems and knowledge processing pipelines.

Migrating a complex classification scheme to the semantic web: expressing the Integrative Levels Classification using SKOS RDF

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ceri Binding ◽  
Claudio Gnoli ◽  
Douglas Tudhope
Keyword(s):  
Knowledge Organization ◽  
Content Type ◽  
Classification Schemes ◽  
Facet Structure ◽  
Simple Knowledge Organization System ◽  
Trade Offs ◽  
Knowledge Organization System ◽  
Faceted Classification ◽  
Integrative Levels ◽  
Query Patterns

PurposeThe Integrative Levels Classification (ILC) is a comprehensive “freely faceted” knowledge organization system not previously expressed as SKOS (Simple Knowledge Organization System). This paper reports and reflects on work converting the ILC to SKOS representation.Design/methodology/approachThe design of the ILC representation and the various steps in the conversion to SKOS are described and located within the context of previous work considering the representation of complex classification schemes in SKOS. Various issues and trade-offs emerging from the conversion are discussed. The conversion implementation employed the STELETO transformation tool.FindingsThe ILC conversion captures some of the ILC facet structure by a limited extension beyond the SKOS standard. SPARQL examples illustrate how this extension could be used to create faceted, compound descriptors when indexing or cataloguing. Basic query patterns are provided that might underpin search systems. Possible routes for reducing complexity are discussed.Originality/valueComplex classification schemes, such as the ILC, have features which are not straight forward to represent in SKOS and which extend beyond the functionality of the SKOS standard. The ILC's facet indicators are modelled as rdf:Property sub-hierarchies that accompany the SKOS RDF statements. The ILC's top-level fundamental facet relationships are modelled by extensions of the associative relationship – specialised sub-properties of skos:related. An approach for representing faceted compound descriptions in ILC and other faceted classification schemes is proposed.

Accountability and Public Reporting

2016 ◽  
pp. 215-239
Author(s):  
Maria Tanzariello ◽  
Sabina Bucci ◽  
Walter Ricciardi ◽  
Antonio Giulio de Belvis
Keyword(s):  
Ad Hoc ◽  
Healthcare Services ◽  
General Information ◽  
Public Reporting ◽  
Health Providers ◽  
Clinical Indicators ◽  
Web Based ◽  
Quality Healthcare ◽  
Healthcare Improvement ◽  
Private Data

Patient engagement is based on the assumption that making patients co-producers of their health might enhance their satisfaction and responsibility with the healthcare system and it strictly linked with the health provider choice. Making patients active participants in their healthcare is considered a crucial component of high-quality healthcare services. Quality of care is a central concern for health systems: accountability, transparency, and public reporting are some key factors in promoting healthcare improvement. In the healthcare field, public reporting is one of the major tools in supporting patients' decisions making process, by providing structure, process and outcome measures. We performed a web-based analysis of the major initiatives of public reporting in order to highlight their main characteristics: properties (public or private), data source (health providers, ad hoc surveys, etc.), general information reported (i.e. size, language spoken, amenities), doctors' information, patients' ratings (satisfaction /experience), clinical indicators.

Accountability and Public Reporting

2016 ◽  
pp. 264-287
Author(s):  
Maria Tanzariello ◽  
Sabina Bucci ◽  
Walter Ricciardi ◽  
Antonio Giulio de Belvis
Keyword(s):  
Ad Hoc ◽  
Healthcare Services ◽  
General Information ◽  
Public Reporting ◽  
Health Providers ◽  
Clinical Indicators ◽  
Web Based ◽  
Quality Healthcare ◽  
Healthcare Improvement ◽  
Private Data

Patient engagement is based on the assumption that making patients co-producers of their health might enhance their satisfaction and responsibility with the healthcare system and it strictly linked with the health provider choice. Making patients active participants in their healthcare is considered a crucial component of high-quality healthcare services. Quality of care is a central concern for health systems: accountability, transparency, and public reporting are some key factors in promoting healthcare improvement. In the healthcare field, public reporting is one of the major tools in supporting patients' decisions making process, by providing structure, process and outcome measures. We performed a web-based analysis of the major initiatives of public reporting in order to highlight their main characteristics: properties (public or private), data source (health providers, ad hoc surveys, etc.), general information reported (i.e. size, language spoken, amenities), doctors' information, patients' ratings (satisfaction /experience), clinical indicators.

scholarly journals The Job Market for New Economists: A Market Design Perspective

2010 ◽  
Vol 24 (4) ◽  
pp. 187-206 ◽  
Author(s):  
Peter Coles ◽  
John Cawley ◽  
Phillip B Levine ◽  
Muriel Niederle ◽  
Alvin E Roth ◽  
...  
Keyword(s):  
Ad Hoc ◽  
Search Costs ◽  
Job Market ◽  
Market Mechanisms ◽  
Web Based ◽  
Economic Association ◽  
Design Perspective ◽  
First Job ◽  
Late Part

This paper, written by the members of the American Economic Association (AEA) Ad Hoc Committee on the Job Market, provides an overview of the market for new Ph.D. economists. It describes the role of the AEA in the market and focuses in particular on two mechanisms adopted in recent years at the suggestion of our Committee. First, job market applicants now have a signaling service to send an expression of special interest to up to two employers prior to interviews at the January Allied Social Science Associations (ASSA) meetings. Second, the AEA now invites candidates who are still on the market, and employers whose positions are still vacant, to participate in a web-based “scramble” to reduce search costs and thicken the late part of the job market. We present statistics on the activity in these market mechanisms and present survey evidence that both mechanisms have facilitated matches. The paper concludes by discussing the emergence of platforms for transmitting job market information and other design issues that may arise in the market for new economists.

scholarly journals The application of crowdsourcing and the Bazaar model to the development of library classifications: an assessment of the Open Shelves Classification

2020 ◽  
Vol 32 ◽  
Author(s):  
Daniel MARTÍNEZ-ÁVILA ◽  
Rosa SAN SEGUNDO
Keyword(s):  
Open Source ◽  
Social Epistemology ◽  
Source Model ◽  
Knowledge Organization ◽  
Classification Schemes ◽  
Seminal Work ◽  
Points Of View

Abstract This paper presents a discussion of crowdsourcing approaches to knowledge organization and more specifically to the development of classification schemes. It analyzes the case of Open Shelves Classification, a terminated project that was developed by the LibraryThing community following the “open source model”, and assesses its outcomes from methodological and sociological points of view. Working with all the documentation of the project that is freely available, the text conducts an analysis of the project following the structure of the methodological lessons for open source (Bazaar model) presented by Eric Raymond in his seminal work “The Cathedral and the Bazaar” and complementing it with the discussion of the sociological aspects presented in “Homesteading the Noosphere” and other writings. The paper concludes with some recommendations for the success of open source projects and some possibilities of research for crowdsourcing projects and social epistemology.

scholarly journals Management of acute and chronic aortic disease during the COVID-19 pandemic- results from a web-based ad-hoc platform

2020 ◽  
Author(s):  
Martin Czerny ◽  
Josua VanDenBerg ◽  
Roberto CHIESA ◽  
Michael Jacobs ◽  
Stephan Jakob ◽  
...  
Keyword(s):  
Ad Hoc ◽  
Aortic Disease ◽  
Web Based

Where Interoperability Ends

2001 ◽  
Author(s):  
Joris S. M. Vergeest ◽  
Imre Horváth
Keyword(s):  
Information Management ◽  
Ad Hoc ◽  
Financial Loss ◽  
Web Based ◽  
Team Members ◽  
Computer Tools ◽  
Potential Gain ◽  
Engineering Information ◽  
Shared Infrastructure ◽  
Outstanding Issue

Abstract The shared usage of computer tools among members of a design team heavily relies on the interoperability of the systems involved. Interoperability is an outstanding issue in engineering information management science for more than twenty years, and is held responsible for a multi-billion economical loss yearly in industry. Efforts (STEP, IGES) by standardization bodies and by the software industry, which now deliver web-based platforms such as Corba and Java, can only superficially address the interoperability problem. Most of the solutions come down to giving clients long fingers to remotely control a centralized model. It is generally recognized that such a centralized approach is far from efficient. However, when the design tasks are really distributed among the team members, a rock bottom limitation invariably emerges, thus canceling most of the potential gain in efficiency. In this paper the interoperability is formally defined. It is then shown why and under which conditions interoperability is deemed to fail. The prime purpose of the paper is to promote awareness about this issue among researchers and infrastructure designers. Once being aware of the fundamental constraints of interoperability, compromise solutions may be intentionally developed, rather than to implement ad hoc work-around procedures (which are responsible the bulk of the financial loss mentioned). We present an approach to systematically analyze and model the requirements of a shared infrastructure, and to anticipate the feasibility of interoperability.

scholarly journals Clinical and Psychological Impact of COVID-19 Infection in Adult Patients with Eosinophilic Gastrointestinal Disorders during the SARS-CoV-2 Outbreak

2020 ◽  
Vol 9 (6) ◽  
pp. 2011 ◽  
Author(s):  
Edoardo Vincenzo Savarino ◽  
Paola Iovino ◽  
Antonella Santonicola ◽  
Matteo Ghisa ◽  
Giorgio Laserra ◽  
...  
Keyword(s):  
Ad Hoc ◽  
Psychological Impact ◽  
Clinical Information ◽  
Female Gender ◽  
Gastrointestinal Diseases ◽  
University Hospital ◽  
Telemedicine Service ◽  
Web Based ◽  
Gastrointestinal Conditions ◽  
The University

Eosinophilic gastrointestinal diseases (EGIDs) are chronic gastrointestinal conditions requiring corticosteroid and immunosuppressive therapy for disease control. Patients with EGIDs usually report impaired quality of life. We aimed to report the clinical and psychological impact of COVID-19 infection in EGID patients. In this prospective web-based study we invited all consecutive EGID patients attending the University Hospital of Salerno (Campania) and Padua (Veneto) to fill an ad hoc COVID-19 survey. Moreover, a telemedicine service for direct consultation was organized. Data regarding the occurrence and perception of COVID-19 infection as well as clinical information were recorded. The study population included 102 EGID patients (mean age 36.6 years, 34 females), of whom 89 had eosinophilic esophagitis, nine had gastroenteritis, and four had colitis. No patient was diagnosed with COVID-19 or had recurrence of his/her primary disease. All of them were adherent to therapy and preventive measures adoption. Most patients were worried because of COVID-19 and social preventing measures but did not consider themselves at major risk or susceptible to COVID-19 or other infections due to their chronic condition or therapy. Female gender and low education level were associated to a higher psychological perception of COVID-19 compared to lockdown status or other demographic and clinical factors (p < 0.05). Overall, COVID-19 had a limited clinical impact on patients with EGIDs. The degree of education and sex, but not the fact of living in a lockdown area, influenced the perception of SARS-CoV-2 infection.

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