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.

MackDroid - An Android based Application to monitor devices

2016 ◽  
Vol 9 ◽  
pp. 1
Author(s):  
Maaz Sirkhot ◽  
Ekta Sirwani ◽  
Aishwarya Kourani ◽  
Akshit Batheja ◽  
Kajal Jethanand Jewani
Keyword(s):  
Operating System ◽  
Open Source ◽  
Vital Role ◽  
Mobile Users ◽  
Android Application ◽  
Web Page ◽  
Technological World ◽  
Monitoring Service ◽  
User Friendly

In this technological world, smartphones can be considered as one of the most far-reaching inventions. It plays a vital role in connecting people socially. The number of mobile users using an Android based smartphone has increased rapidly since last few years resulting in organizations, cyber cell departments, government authorities feeling the need to monitor the activities on certain targeted devices in order to maintain proper functionality of their respective jobs. Also with the advent of smartphones, Android became one of the most popular and widely used Operating System. Its highlighting features are that it is user friendly, smartly designed, flexible, highly customizable and supports latest technologies like IoT. One of the features that makes it exclusive is that it is based on Linux and is Open Source for all the developers. This is the reason why our project Mackdroid is an Android based application that collects data from the remote device, stores it and displays on a PHP based web page. It is primarily a monitoring service that analyzes the contents and distributes it in various categories like Call Logs, Chats, Key logs, etc. Our project aims at developing an Android application that can be used to track, monitor, store and grab data from the device and store it on a server which can be accessed by the handler of the application.

Models and Approaches for Web Information Extraction and Web Page Understanding

2015 ◽  
pp. 25-50 ◽  
Author(s):  
Ruslan R. Fayzrakhmanov
Keyword(s):  
Information Extraction ◽  
Logical Structure ◽  
Web Pages ◽  
Web Page ◽  
Web Information Extraction ◽  
Web Information ◽  
Consistent Model ◽  
Object Oriented Approach ◽  
Navigation Menu ◽  
Oriented Approach

This chapter discusses the main challenges addressed within the fields of Web information extraction and Web page understanding and considers different utilized Web page representations. A configurable Java-based framework for implementing effective methods for Web Page Processing (WPP) called WPPS is presented as the result of this analysis. WPPS leverages a Unified Ontological Model (UOM) of Web pages that describes their different aspects, such as layout, visual features, interface, DOM tree, and the logical structure in the form of one consistent model. The UOM is a formalization of certain layers of a Web page conceptualization defined in the chapter. A WPPS API provided for the development of WPP methods makes it possible to combine the declarative approach, represented by the set of inference rules and SPARQL queries, with the object-oriented approach. The framework is illustrated with one example scenario related to the identification of a Web page navigation menu.

scholarly journals Feature Based Identification of Web Page Noise through K-Means Clustering

2020 ◽  
Vol 9 (3) ◽  
pp. 1966-1970
Keyword(s):  
Web Mining ◽  
Vital Role ◽  
Web Pages ◽  
Web Page ◽  
Feature Based ◽  
Informative Content ◽  
Method Accuracy ◽  
Content Information ◽  
F Measure ◽  
The Web

Web pages has pieces of information which are of unequal importance like navigational bar, copyright notice, links, advertisement etc. and these are considered as noise or insignificant items of web page for web mining. Web page informative content is only useful for performing effective web mining task and presence of noise on web page can hamper the result of this task. Web page has several features including information location, occupied area and its contents. Content data in different portions of an internet web page has dissimilar significance weights according to its location, occupied location and content that are considered to be features of the web page. The position of contents and importance of contents play a vital role in identification of noise in web pages for removal. In this paper web page feature based method is proposed for identification of noise from web pages. K-means clustering technique is applied to classify main content information and noise content information into two clusters of web pages based on these features. For performance evaluation of clustering method, accuracy, precision, f-measure, and recall are calculated.

scholarly journals Evaluating Phishing Website Detection on Client Side

2019 ◽  
Vol 8 (6) ◽  
pp. 18-22
Keyword(s):  
Vital Role ◽  
User Studies ◽  
Web Pages ◽  
Web Page ◽  
User Privacy ◽  
Web Based ◽  
Consumer Privacy ◽  
Phishing Attacks ◽  
Client Side ◽  
Website Content

In a web based application phishing attack plays a vital role. To find a solution for this problem, lots of work is carried out over a year, but still now no solution is find out for this problem. The existing solution, suffers from a few drawbacks such as to count potential to compromise consumer privacy. That is the reason for difficulty of detecting phishing attacks in the websites. In addition to this problem, the website content is changed dynamically, and confidence depends on the features of specific provisions of data. To solve these issues, a new direction for the detection of phishing attacks in web-pages is approached here. The proposed system, inherent the phishing limits starting from the constraints they faced while built a web-page. subsequently the implementation of our approach includes, off-the-hook- focused on extraordinary precision and brand-independence and semantic individuality. Here the off-the-hook is constructed from the fully-client-side browser add-on, which describes the user privacy. Additionally, off-the-hook focused on the target website and the phishing webpage is attempting to imitate and comprises this objective with warning. The proposed method is evaluated our genetic algorithm in below user studies.

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.

TABU PROGRAMMING: A NEW PROBLEM SOLVER THROUGH ADAPTIVE MEMORY PROGRAMMING OVER TREE DATA STRUCTURES

2011 ◽  
Vol 10 (02) ◽  
pp. 373-406 ◽  
Author(s):  
ABDEL-RAHMAN HEDAR ◽  
EMAD MABROUK ◽  
MASAO FUKUSHIMA
Keyword(s):  
Search Algorithm ◽  
Benchmark Problems ◽  
Problem Solver ◽  
Learning Tools ◽  
Mutation Operators ◽  
Tree Data ◽  
Tree Data Structure ◽  
Comprehensive Framework ◽  
Rate Of Success ◽  
Crossover And Mutation

Since the first appearance of the Genetic Programming (GP) algorithm, extensive theoretical and application studies on it have been conducted. Nowadays, the GP algorithm is considered one of the most important tools in Artificial Intelligence (AI). Nevertheless, several questions have been raised about the complexity of the GP algorithm and the disruption effect of the crossover and mutation operators. In this paper, the Tabu Programming (TP) algorithm is proposed to employ the search strategy of the classical Tabu Search algorithm with the tree data structure. Moreover, the TP algorithm exploits a set of local search procedures over a tree space in order to mitigate the drawbacks of the crossover and mutation operators. Extensive numerical experiments are performed to study the performance of the proposed algorithm for a set of benchmark problems. The results of those experiments show that the TP algorithm compares favorably to recent versions of the GP algorithm in terms of computational efforts and the rate of success. Finally, we present a comprehensive framework called Meta-Heuristics Programming (MHP) as general machine learning tools.

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.

Exploring the customer orientation of Spanish pharmacy websites

2018 ◽  
Vol 12 (4) ◽  
pp. 447-462 ◽  
Author(s):  
Carmen Domínguez-Falcón ◽  
Domingo Verano-Tacoronte ◽  
Marta Suárez-Fuentes
Keyword(s):  
Web 2.0 ◽  
Customer Orientation ◽  
Community Pharmacies ◽  
Web Pages ◽  
Web Page ◽  
Pharmaceutical Sector ◽  
Content Type ◽  
Web Page Design ◽  
Page Design ◽  
The Web

Purpose The strong regulation of the Spanish pharmaceutical sector encourages pharmacies to modify their business model, giving the customer a more relevant role by integrating 2.0 tools. However, the study of the implementation of these tools is still quite limited, especially in terms of a customer-oriented web page design. This paper aims to analyze the online presence of Spanish community pharmacies by studying the profile of their web pages to classify them by their degree of customer orientation. Design/methodology/approach In total, 710 community pharmacies were analyzed, of which 160 had Web pages. Using items drawn from the literature, content analysis was performed to evaluate the presence of these items on the web pages. Then, after analyzing the scores on the items, a cluster analysis was conducted to classify the pharmacies according to the degree of development of their online customer orientation strategy. Findings The number of pharmacies with a web page is quite low. The development of these websites is limited, and they have a more informational than relational role. The statistical analysis allows to classify the pharmacies in four groups according to their level of development Practical implications Pharmacists should make incremental use of their websites to facilitate real two-way communication with customers and other stakeholders to maintain a relationship with them by having incorporated the Web 2.0 and social media (SM) platforms. Originality/value This study analyses, from a marketing perspective, the degree of Web 2.0 adoption and the characteristics of the websites, in terms of aiding communication and interaction with customers in the Spanish pharmaceutical sector.

Sign in / Sign up

Export Citation Format

Share Document