scholarly journals Layout Transposition for Non-Visual Navigation of Web Pages by Tactile Feedback on Mobile Devices

Micromachines ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 376 ◽  
Author(s):  
Fabrice Maurel ◽  
Gaël Dias ◽  
Waseem Safi ◽  
Jean-Marc Routoure ◽  
Pierre Beust
Keyword(s):  
Empirical Study ◽  
Visual Navigation ◽  
Tactile Feedback ◽  
Web Pages ◽  
Blind People ◽  
Web Page ◽  
Vibrotactile Feedback ◽  
Qualitative Understanding ◽  
Substitution System ◽  
Touchscreen Device

In this paper, we present the results of an empirical study that aims to evaluate the performance of sighted and blind people to discriminate web page structures using vibrotactile feedback. The proposed visuo-tactile substitution system is based on a portable and economical solution that can be used in noisy and public environments. It converts the visual structures of web pages into tactile landscapes that can be explored on any mobile touchscreen device. The light contrasts overflown by the fingers are dynamically captured, sent to a micro-controller, translated into vibrating patterns that vary in intensity, frequency and temperature, and then reproduced by our actuators on the skin at the location defined by the user. The performance of the proposed system is measured in terms of perception of frequency and intensity thresholds and qualitative understanding of the shapes displayed.

Identification of Optimal Web Page Set based on Web Usage using Biclustering Optimization Techniques

2016 ◽  
pp. 141-161 ◽  
Author(s):  
R. Rathipriya
Keyword(s):  
Empirical Study ◽  
Firefly Algorithm ◽  
Primary Objective ◽  
Optimization Techniques ◽  
Web Pages ◽  
Web Page ◽  
Web Usage ◽  
The Given ◽  
Usage Data

The primary objective of this chapter is to propose Biclustering Optimization Techniques (BOT) to identify the optimal web pages from web usage data. Bio-inspired optimization techniques like Firefly algorithm and its variant are used as optimization tool to generate optimal usage profile from the given web usage dataset. Finally, empirical study is conducted on the benchmark clickstream datasets like MSNBC, MSWEB and CTI and their results are analyzed to know the performance of the proposed biclustering optimization techniques with respect to optimization techniques available in the literature.

TB-WPRO

2013 ◽  
pp. 58-66
Author(s):  
Qihua Chen ◽  
Xiangdong Wang ◽  
Yueliang Qian
Keyword(s):  
Cell Phone ◽  
Information Overload ◽  
Web Pages ◽  
Blind People ◽  
Segmentation Result ◽  
Web Page ◽  
Block Based ◽  
Web Designers ◽  
Clear Goal ◽  
The Web

For cell phone users and blind people using non-visual browsers, browsing Web by common browsers is quite inefficient due to the problem of information overload. This paper presents the TB-WPRO (Title-Block based Web Page Re-Organization) method, which hierarchically segments web pages into blocks using visual and layout information reflecting the web designers’ intent. TB-WPRO segments the web pages with a clear goal to extract self-described title blocks. To reorganize web pages, the segmentation result is transformed to a serial of small web pages that could be easily accessed. Compared to current methods, the proposed approach obtains a promising segmentation result where blocks are visually and semantically consistent with original web pages.

TB-WPRO

2011 ◽  
Vol 3 (1) ◽  
pp. 55-62
Author(s):  
Qihua Chen ◽  
Xiangdong Wang ◽  
Yueliang Qian
Keyword(s):  
Cell Phone ◽  
Information Overload ◽  
Web Pages ◽  
Blind People ◽  
Segmentation Result ◽  
Web Page ◽  
Block Based ◽  
Web Designers ◽  
Clear Goal ◽  
The Web

For cell phone users and blind people using non-visual browsers, browsing Web by common browsers is quite inefficient due to the problem of information overload. This paper presents the TB-WPRO (Title-Block based Web Page Re-Organization) method, which hierarchically segments web pages into blocks using visual and layout information reflecting the web designers’ intent. TB-WPRO segments the web pages with a clear goal to extract self-described title blocks. To reorganize web pages, the segmentation result is transformed to a serial of small web pages that could be easily accessed. Compared to current methods, the proposed approach obtains a promising segmentation result where blocks are visually and semantically consistent with original web pages.

scholarly journals An Empirical Study of Web Page Structural Properties

2021 ◽  
Author(s):  
Xavier Chamberland-Thibeault ◽  
Sylvain Hallé
Keyword(s):  
Empirical Study ◽  
Structural Properties ◽  
Maximum Degree ◽  
Large Scale ◽  
Empirical Evaluation ◽  
The Internet ◽  
Web Pages ◽  
Web Page ◽  
Internet Archive ◽  
Large Scale Survey

The paper reports results on an empirical study of the structural properties of HTML markup in websites. A first large-scale survey is made on 708 contemporary (2019–2020) websites, in order to measure various features related to their size and structure: DOM tree size, maximum degree, depth, diversity of element types and CSS classes, among others. The second part of the study leverages archived pages from the Internet Archive, in order to retrace the evolution of these features over a span of 25 years. The goal of this research is to serve as a reference point for studies that include an empirical evaluation on samples of web pages.

Logical Structure for User Friendly dynamic Web Page Visualization for Small Screen Terminals Promoting E-Business

2020 ◽  
Vol 14 ◽  
Author(s):  
Shefali Singhal ◽  
Poonam Tanwar
Keyword(s):  
Logical Structure ◽  
Vital Role ◽  
Web Pages ◽  
Main Concern ◽  
Web Page ◽  
Large Screen ◽  
Tree Data ◽  
Tree Data Structure ◽  
User Friendly ◽  
Small Screen

Abstract:: Now-a-days when everything is going digitalized, internet and web plays a vital role in everyone’s life. When one has to ask something or has any online task to perform, one has to use internet to access relevant web-pages throughout. These web-pages are mainly designed for large screen terminals. But due to mobility, handy and economic reasons most of the persons are using small screen terminals (SST) like mobile phone, palmtop, pagers, tablet computers and many more. Reading a web page which is actually designed for large screen terminal on a small screen is time consuming and cumbersome task because there are many irrelevant content parts which are to be scrolled or there are advertisements, etc. Here main concern is e-business users. To overcome such issues the source code of a web page is organized in tree data-structure. In this paper we are arranging each and every main heading as a root node and all the content of this heading as a child node of the logical structure. Using this structure, we regenerate a web-page automatically according to SST size. Background:: DOM and VIPS algorithms are the main background techniques which are supporting the current research. Objective:: To restructure a web page in a more user friendly and content presenting format. Method Backtracking:: Method Backtracking: Results:: web page heading queue generation. Conclusion:: Concept of logical structure supports every SST.

Automatic Ontology Learning from Multiple Knowledge Sources of Text

2018 ◽  
Vol 14 (2) ◽  
pp. 1-21 ◽  
Author(s):  
B Sathiya ◽  
T.V. Geetha
Keyword(s):  
Knowledge Base ◽  
Web Pages ◽  
Knowledge Sources ◽  
Statistical Measure ◽  
Ontology Learning ◽  
Web Page ◽  
Semantic Query ◽  
Probabilistic Knowledge ◽  
Discovery Algorithms ◽  
Different Sources

The prime textual sources used for ontology learning are a domain corpus and dynamic large text from web pages. The first source is limited and possibly outdated, while the second is uncertain. To overcome these shortcomings, a novel ontology learning methodology is proposed to utilize the different sources of text such as a corpus, web pages and the massive probabilistic knowledge base, Probase, for an effective automated construction of ontology. Specifically, to discover taxonomical relations among the concept of the ontology, a new web page based two-level semantic query formation methodology using the lexical syntactic patterns (LSP) and a novel scoring measure: Fitness built on Probase are proposed. Also, a syntactic and statistical measure called COS (Co-occurrence Strength) scoring, and Domain and Range-NTRD (Non-Taxonomical Relation Discovery) algorithms are proposed to accurately identify non-taxonomical relations(NTR) among concepts, using evidence from the corpus and web pages.

Semi-Automatic Online Tagging with K-Medoid Clustering

2014 ◽  
Vol 24 (08) ◽  
pp. 1115-1130 ◽  
Author(s):  
He Hu ◽  
Xiaoyong Du
Keyword(s):  
Clustering Algorithm ◽  
Prototype System ◽  
Web Pages ◽  
Web Page ◽  
Web Browser ◽  
User Input ◽  
Browser Extension ◽  
Annotation Process ◽  
Efficiency And Effectiveness ◽  
Automatic Mechanism

Online tagging is crucial for the acquisition and organization of web knowledge. We present TYG (Tag-as-You-Go) in this paper, a web browser extension for online tagging of personal knowledge on standard web pages. We investigate an approach to combine a K-Medoid-style clustering algorithm with the user input to achieve semi-automatic web page annotation. The annotation process supports user-defined tagging schema and comprises an automatic mechanism that is built upon clustering techniques, which can automatically group similar HTML DOM nodes into clusters corresponding to the user specification. TYG is a prototype system illustrating the proposed approach. Experiments with TYG show that our approach can achieve both efficiency and effectiveness in real world annotation scenarios.

scholarly journals A Simulation of the Structure of the World-Wide Web

2002 ◽  
Vol 7 (1) ◽  
pp. 9-25 ◽  
Author(s):  
Moses Boudourides ◽  
Gerasimos Antypas
Keyword(s):  
World Wide Web ◽  
Power Law ◽  
Web Sites ◽  
World Wide ◽  
The Internet ◽  
Web Pages ◽  
Small Worlds ◽  
Web Page ◽  
Simple Simulation ◽  
The World

In this paper we are presenting a simple simulation of the Internet World-Wide Web, where one observes the appearance of web pages belonging to different web sites, covering a number of different thematic topics and possessing links to other web pages. The goal of our simulation is to reproduce the form of the observed World-Wide Web and of its growth, using a small number of simple assumptions. In our simulation, existing web pages may generate new ones as follows: First, each web page is equipped with a topic concerning its contents. Second, links between web pages are established according to common topics. Next, new web pages may be randomly generated and subsequently they might be equipped with a topic and be assigned to web sites. By repeated iterations of these rules, our simulation appears to exhibit the observed structure of the World-Wide Web and, in particular, a power law type of growth. In order to visualise the network of web pages, we have followed N. Gilbert's (1997) methodology of scientometric simulation, assuming that web pages can be represented by points in the plane. Furthermore, the simulated graph is found to possess the property of small worlds, as it is the case with a large number of other complex networks.

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