scholarly journals A Semantic based Terms Relation Research for Classification in Web Information Mining

2019 ◽  
Vol 8 (2) ◽  
pp. 5275-5280

The rapid growth of web information and its services in different areas such as e-commerce, healthcare, digital marketing, online booking, etc. is a challenge in providing accurate information in the domain services related to the user's query. The current web information of services classifies the retrieval of the relevant service and assists the classification by supporting the knowledge and classifications of the specific service information. Because of these limitations and the complexity of automatic update mechanisms to see this service information, a large number of non-related service information for a requested query, and getting the required web information of services is a cumbersome problem. This paper proposes Semantic based Terms Relation Approach (STRA) for classifying information for effective classification of WIS on the web. The approach utilize Concept Terms Similarity (CTS) method for the most relevant terms in a service domain and construct a Related Terms Hierarchal Model (RTHM), which will be used for classification. A modified Naive Bayes classifier is used to perform the classification of the web information of services using RTHM, to categorize and present accurately. The experiment evaluation of the proposed approach shows an improvement in the classification of information and achieve a highly related matching results against different number of users queries.

2010 ◽  
Vol 20-23 ◽  
pp. 178-183
Author(s):  
Jun Hua Gu ◽  
Jie Song ◽  
Na Zhang ◽  
Yan Liu Liu

With the increasingly high-speed of the internet as well as the increase in the amount of data it contains, users are finding it more and more difficult to gain useful information from the web. How to extract accurate information from the Web efficiently has become an urgent problem. Web information extraction technology has emerged to solve this kind of problem. The method of Web information auto-extraction based on XML is designed through standardizing the HTML document using data translation algorism, forming an extracting rule base by learning the XPath expression of samples, and using extraction rule base to realize auto-extraction of pages of same kind. The results show that this approach should lead to a higher recall ratio and precision ratio, and the result should have a self-description, making it convenient for founding data extraction system of each domain.


Author(s):  
Amanda Spink ◽  
Mohammad Abbas ◽  
Bernard J Jansen

Accessing e-commerce information on the Web is becoming a key aspect of citizenship in the digital age. By 1999 e-commerce queries were the largest group of Web queries, forming some 25% of all queries. Web queries are a primary means for translating people's need for business product and service information for effective e-commerce. This paper reports a study. . .


2005 ◽  
pp. 31-75 ◽  
Author(s):  
Sotiris P. Christodoulou ◽  
Theodore S. Papatheodorou

This chapter introduces the Web Engineering Resources Portal (WEP) as a basic reference model and guide for Web Engineers. WEP provides a general classification of Web Engineering resources under technologies, research results, and tools. It consists of a reference model and a resources portal. The objective of the WEP reference model is to provide a common basic terminology, a technical-oriented classification of Web applications (WebApps), a specification of WebApps Logical and Physical Architectures, a classification of skills needed in Web projects and a generic and adaptable Web lifecycle process model. The WEP reference model provides the framework upon which Web Engineering resources are classified and presented. The WEP portal provides several and cross-referenced taxonomies of technologies, research results, and tools whereas its objective is to facilitate Web Engineers to comprehend available resources, understand their role and appropriately use them during development and operation/maintenance of Web information systems.


2017 ◽  
pp. 030-050
Author(s):  
J.V. Rogushina ◽  

Problems associated with the improve ment of information retrieval for open environment are considered and the need for it’s semantization is grounded. Thecurrent state and prospects of development of semantic search engines that are focused on the Web information resources processing are analysed, the criteria for the classification of such systems are reviewed. In this analysis the significant attention is paid to the semantic search use of ontologies that contain knowledge about the subject area and the search users. The sources of ontological knowledge and methods of their processing for the improvement of the search procedures are considered. Examples of semantic search systems that use structured query languages (eg, SPARQL), lists of keywords and queries in natural language are proposed. Such criteria for the classification of semantic search engines like architecture, coupling, transparency, user context, modification requests, ontology structure, etc. are considered. Different ways of support of semantic and otology based modification of user queries that improve the completeness and accuracy of the search are analyzed. On base of analysis of the properties of existing semantic search engines in terms of these criteria, the areas for further improvement of these systems are selected: the development of metasearch systems, semantic modification of user requests, the determination of an user-acceptable transparency level of the search procedures, flexibility of domain knowledge management tools, increasing productivity and scalability. In addition, the development of means of semantic Web search needs in use of some external knowledge base which contains knowledge about the domain of user information needs, and in providing the users with the ability to independent selection of knowledge that is used in the search process. There is necessary to take into account the history of user interaction with the retrieval system and the search context for personalization of the query results and their ordering in accordance with the user information needs. All these aspects were taken into account in the design and implementation of semantic search engine "MAIPS" that is based on an ontological model of users and resources cooperation into the Web.


Author(s):  
Petar Halachev ◽  
Victoria Radeva ◽  
Albena Nikiforova ◽  
Miglena Veneva

This report is dedicated to the role of the web site as an important tool for presenting business on the Internet. Classification of site types has been made in terms of their application in the business and the types of structures in their construction. The Models of the Life Cycle for designing business websites are analyzed and are outlined their strengths and weaknesses. The stages in the design, construction, commissioning, and maintenance of a business website are distinguished and the activities and requirements of each stage are specified.


2017 ◽  
Vol 31 (2) ◽  
pp. 82-89
Author(s):  
E. S. Epifanov

This article presents a classification of major factors that shape the cost of Internet site. Also discusses the limitations in determining the objectives of the web site; advantages and disadvantages of different factors.


2018 ◽  
Vol 7 (3) ◽  
pp. 39-43
Author(s):  
Satyaveer Singh ◽  
Mahendra Singh Aswal

Web usage mining is used to find out fascinating consumer navigation patterns which can be applied to a lot of real-world problems, such as enriching websites or pages, generating newly topic or product recommendations and consumer behavior studies, etc. In this paper, an attempt has been made to provide a taxonomical classification of web usage mining applications with two levels of hierarchy. Further, the ontology for various categories of the web usage mining applications has been developed and to prove the completeness of proposed taxonomy, a rigorous case study has been performed. The comparative study with other existing classifications of web usage mining applications has also been performed.


Author(s):  
P. Amudhavalli ◽  
N. Rajalakshmi ◽  
K.S. Sindhu

As Digital Marketing is becoming more popular, the number of customer’s interpretation on brands is increasing promptly which makes it firmer for companies to evaluate their brand image and to digital market their products on the web. The Forensic Analysis is used to determine and analyze patterns of fraudulent activities on images. Pixel Analysis and Least square support vector machine are used to compare and associate the scores acquired from the images into one result per tweet. We selected these techniques to compare and find the accuracy of the Digital Marketing images with the received product’s images to identify the fraudulent activities on images in Digital Marketing. As the result of this project the customer can identify whether the received product is exactly what is given in the online purchase website.


2021 ◽  
Vol 72 (05) ◽  
pp. 538-544
Author(s):  
DANIELA SOFRONOVA ◽  
RADOSTINA A. ANGELOVA

Despite the large application of the machine embroidery in textile and apparel design and high-tech clothing items, there is а lack of systematic arrangement of the digital stitch lines, used by embroidery machines and embroidery designers. Since 2010 information on embroidery stitch lines could be mostly found in the web sites of the embroidery machine manufacturers and software product manuals. However, in the instruction manuals the instruments for creating various embroidery objects are simply described without providing systematic information on the types of the stitch lines. Even more, different names of the stitch lines and different ways to achieve the same design are observed. Single authors offer their own classifications based entirely and logically on the stitches of the hand embroidery. Another group of authors relied on already developed techniques and strategies for digitizing stitches in various software products or took into account the final appearance of the stitch lines or their application. Our study aimed to develop a detailed and systematic classification of the digital stitch lines in the machine embroidery, which has not been presented in the literature.


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