A Framework for Web Science

2006 ◽  
Author(s):  
Tim Berners-Lee ◽  
Daniel J. Weitzner ◽  
Wendy Hall ◽  
Kieron O'Hara ◽  
Nigel Shadbolt ◽  
...  
Keyword(s):  
Web Science

scholarly journals Medicinal plants possess sedative and anxiolytic effect with emphasis on their mechanisms of action

2021 ◽  
Vol 17 (3) ◽  
pp. 061-077
Author(s):  
Ali Esmail Al-Snafi
Keyword(s):  
Medicinal Plants ◽  
Plant Extracts ◽  
Anxiolytic Effect ◽  
Mechanisms Of Action ◽  
Aminobutyric Acid ◽  
Na Channels ◽  
Medical Problems ◽  
Current Review ◽  
Acid Type ◽  
Web Science

Insomnia and anxiety are worldwide medical problems. Plant extracts possessed sedative and anxiolytic effect via different mechanisms included interactions with Na+ channels, γ-aminobutyric acid type A receptors, N-methyl-D-aspartate receptors and chatecholamines. In the current review, Web Science, PubMed, Scopus and Science Direct, were searched to investigate the plants with sedative and anxiolytic effects

scholarly journals Web evolution and Web Science

2012 ◽  
Vol 56 (18) ◽  
pp. 3859-3865 ◽  
Author(s):  
Wendy Hall ◽  
Thanassis Tiropanis
Keyword(s):  
Web Science

Big Data and Data Analytics Research

Web Services ◽  
2019 ◽  
pp. 2161-2171
Author(s):  
Miltiadis D. Lytras ◽  
Vijay Raghavan ◽  
Ernesto Damiani
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Analytics ◽  
Business Models ◽  
Internet Technology ◽  
Cognitive Computing ◽  
New Paradigm ◽  
Web Science ◽  
New Business ◽  
Value Propositions

The Big Data and Data Analytics is a brand new paradigm, for the integration of Internet Technology in the human and machine context. For the first time in the history of the human mankind we are able to transforming raw data that are massively produced by humans and machines in to knowledge and wisdom capable of supporting smart decision making, innovative services, new business models, innovation, and entrepreneurship. For the Web Science research, this is a new methodological and technological spectrum of advanced methods, frameworks and functionalities never experienced in the past. At the same moment communities out of web science need to realize the potential of this new paradigm with the support of new sound business models and a critical shift in the perception of decision making. In this short visioning article, the authors are analyzing the main aspects of Big Data and Data Analytics Research and they provide their own metaphor for the next years. A number of research directions are outlined as well as a new roadmap towards the evolution of Big Data to Smart Decisions and Cognitive Computing. The authors do hope that the readers would like to react and to propose their own value propositions for the domain initiating a scientific dialogue beyond self-fulfilled expectations.

Measuring and Facilitating Data Repeatability in Web Science

2019 ◽  
Vol 19 (2) ◽  
pp. 117-126 ◽  
Author(s):  
Julian Risch ◽  
Ralf Krestel
Keyword(s):  
Web Science

scholarly journals Mathematics of Web science: structure, dynamics and incentives

2013 ◽  
Vol 371 (1987) ◽  
pp. 20120377 ◽  
Author(s):  
Jennifer Chayes
Keyword(s):  
Autonomous System ◽  
World Wide ◽  
Autonomous Systems ◽  
Large Graphs ◽  
Finite Graphs ◽  
Online Networks ◽  
The People ◽  
Web Science ◽  
The World ◽  
Online Experience

Dr Chayes’ talk described how, to a discrete mathematician, ‘all the world’s a graph, and all the people and domains merely vertices’. A graph is represented as a set of vertices V and a set of edges E, so that, for instance, in the World Wide Web, V is the set of pages and E the directed hyperlinks; in a social network, V is the people and E the set of relationships; and in the autonomous system Internet, V is the set of autonomous systems (such as AOL, Yahoo! and MSN) and E the set of connections. This means that mathematics can be used to study the Web (and other large graphs in the online world) in the following way: first, we can model online networks as large finite graphs; second, we can sample pieces of these graphs; third, we can understand and then control processes on these graphs; and fourth, we can develop algorithms for these graphs and apply them to improve the online experience.

Sign in / Sign up

Export Citation Format

Share Document