CellProfiler Analyst Web (CPAW) - Exploration, analysis, and classification of biological images on the web

2021 ◽  
Author(s):  
Bella Baidak ◽  
Yahiya Hussain ◽  
Emma Kelminson ◽  
Thouis R. Jones ◽  
Loraine Franke ◽  
...  
Keyword(s):  
Biological Images ◽  
The Web

Classification of means and methods of the Web semantic retrieval

2017 ◽  
pp. 030-050
Author(s):  
J.V. Rogushina ◽  
Keyword(s):  
Search Engines ◽  
Domain Knowledge ◽  
Information Needs ◽  
Web Search ◽  
User Interaction ◽  
Query Languages ◽  
Semantic Search ◽  
Semantic Retrieval ◽  
The Web

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.

ASPECTS IN BUILDING A COMPANY WEB-SITE AND ITS ROLE FOR THE DEVELOPMENT OF BUSINESS

2018 ◽  
pp. 117-124
Author(s):  
Petar Halachev ◽  
Victoria Radeva ◽  
Albena Nikiforova ◽  
Miglena Veneva
Keyword(s):  
Life Cycle ◽  
Web Site ◽  
The Internet ◽  
A Company ◽  
The Web ◽  
Design Construction ◽  
Made In ◽  
Site Types

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.

Classification of the factors forming the cost of the web-site

2017 ◽  
Vol 31 (2) ◽  
pp. 82-89
Author(s):  
E. S. Epifanov
Keyword(s):  
Web Site ◽  
Internet Site ◽  
Advantages And Disadvantages ◽  
Major Factors ◽  
The Cost ◽  
The Web

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.

Taxonomical Classification of Web Usage Mining Applications and its Ontological Representation

2018 ◽  
Vol 7 (3) ◽  
pp. 39-43
Author(s):  
Satyaveer Singh ◽  
Mahendra Singh Aswal
Keyword(s):  
Web Usage Mining ◽  
Web Usage ◽  
Navigation Patterns ◽  
Product Recommendations ◽  
Taxonomical Classification ◽  
The Comparative Study ◽  
The Web ◽  
Real World Problems

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.

scholarly journals Classification of digital stitch lines in machine embroidery

2021 ◽  
Vol 72 (05) ◽  
pp. 538-544
Author(s):  
DANIELA SOFRONOVA ◽  
RADOSTINA A. ANGELOVA
Keyword(s):  
Web Sites ◽  
High Tech ◽  
Apparel Design ◽  
Systematic Classification ◽  
Software Products ◽  
Software Product ◽  
Textile And Apparel ◽  
Large Application ◽  
The Web

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.

scholarly journals Machine learning: Enhancing the Perception of the Computer

2020 ◽  
Vol 9 (4) ◽  
pp. 758-761
Keyword(s):  
Machine Learning ◽  
Computer Training ◽  
Internet Traffic ◽  
The Internet ◽  
Popular Method ◽  
Exponential Increase ◽  
Computer Teaching ◽  
Traffic Detection ◽  
The Web

The advancement of technology and networking allows the use of the Web incredibly important. There is thus an exponential increase in data and information via the Internet. This flow thus is a beneficial field of study which can be defined accurately. Internet traffic detection is a very popular method of identifying information. Although so many methods have been successfully developed for classifying internet traffic, computer training technology among them is most popular. A short study of the classification of Internet traffic on various managed and non-regulated computer teaching systems was undertaken by many researchers. This paper will give various ideas to the other researcher’s and help them to learn a lot about machine learning

A Survey of Trust Use and Modeling in Real Online Systems

2013 ◽  
pp. 167-196
Author(s):  
Paolo Massa
Keyword(s):  
Social Relationships ◽  
Information Overload ◽  
The Internet ◽  
Online Systems ◽  
Trust Relationships ◽  
Different Types ◽  
Concept Of Information ◽  
The Web ◽  
Trust Information

This chapter discusses the concept of trust and how trust is used and modeled in online systems currently available on the Web or on the Internet. It starts by describing the concept of information overload and introducing trust as a possible and powerful way to deal with it. It then provides a classification of the systems that currently use trust and, for each category, presents the most representative examples. In these systems, trust is considered as the judgment expressed by one user about another user, often directly and explicitly, sometimes indirectly through an evaluation of the artifacts produced by that user or his/her activity on the system. We hence use the term “trust” to indicate different types of social relationships between two users, such as friendship, appreciation, and interest. These trust relationships are used by the systems in order to infer some measure of importance about the different users and influence their visibility on the system. We conclude with an overview of the open and interesting challenges for online systems that use and model trust information.

Identifying Hyperlink Strategies as a Tool to Discover the Connections between Offline and Online Politics

2014 ◽  
pp. 60-80
Author(s):  
Keren Sereno
Keyword(s):  
Low Cost ◽  
Link Analysis ◽  
The Political ◽  
Single Issue ◽  
Political Actors ◽  
Online Politics ◽  
Issue Network ◽  
Depth Interviews ◽  
The Web

This chapter sheds light onto theoretical and empirical debates regarding the nature hyperlink as a political tool: whether the hyperlink is part of the “offline world” or should be considered as a new and separate form of practice, mainly due to its low cost and easy construction. The chapter contributes to the present literature in two innovative ways: First, based on link analysis between 90 Websites of protest Israeli NGO, a classification of link strategies was made, and 4 different linking strategies were found: Isolation, Introversion, Neighborliness, and Generalization. Furthermore, this chapter analyzes 15 protest issues and is not focused only on a single issue network. Second, 29 in-depth interviews were conduct and enable a sketch of the “offline link analysis map” and a comparison of the online policies with the offline policies. In order to understand the choice of the organization linking strategy over the others, and the decision to which exactly other organizations/Websites link to, one must remember that the Web is only one arena where the political actors operate. Therefore, the in-depth interviews not only reveal the causes affecting the hyperlinks selection and strategy in each organization but also reveal similarities between the organizations with overlap linking strategy.

Web knowledge

2006 ◽  
Author(s):  
Christopher Walton
Keyword(s):  
Semantic Web ◽  
Knowledge Representation ◽  
Knowledge Base ◽  
Web Applications ◽  
Semantic Network ◽  
Knowledge Bases ◽  
Web Standards ◽  
Description Framework ◽  
The Web

In the introductory chapter of this book, we discussed the means by which knowledge can be made available on the Web. That is, the representation of the knowledge in a form by which it can be automatically processed by a computer. To recap, we identified two essential steps that were deemed necessary to achieve this task: 1. We discussed the need to agree on a suitable structure for the knowledge that we wish to represent. This is achieved through the construction of a semantic network, which defines the main concepts of the knowledge, and the relationships between these concepts. We presented an example network that contained the main concepts to differentiate between kinds of cameras. Our network is a conceptualization, or an abstract view of a small part of the world. A conceptualization is defined formally in an ontology, which is in essence a vocabulary for knowledge representation. 2. We discussed the construction of a knowledge base, which is a store of knowledge about a domain in machine-processable form; essentially a database of knowledge. A knowledge base is constructed through the classification of a body of information according to an ontology. The result will be a store of facts and rules that describe the domain. Our example described the classification of different camera features to form a knowledge base. The knowledge base is expressed formally in the language of the ontology over which it is defined. In this chapter we elaborate on these two steps to show how we can define ontologies and knowledge bases specifically for the Web. This will enable us to construct Semantic Web applications that make use of this knowledge. The chapter is devoted to a detailed explanation of the syntax and pragmatics of the RDF, RDFS, and OWL Semantic Web standards. The resource description framework (RDF) is an established standard for knowledge representation on the Web. Taken together with the associated RDF Schema (RDFS) standard, we have a language for representing simple ontologies and knowledge bases on the Web.

Clustering of Human Gestures Images Using 3D Cellular Automata and N-Gram Pixels with a Visualisation aspect

2015 ◽  
Vol 5 (4) ◽  
pp. 35-60 ◽  
Author(s):  
Hadj Ahmed Bouarara ◽  
Reda Mohamed Hamou ◽  
Abdelmalek Amine
Keyword(s):  
Image Representation ◽  
Transition Function ◽  
Communication Tools ◽  
Novel Approach ◽  
Human Gestures ◽  
Representation Technique ◽  
Effective Instrument ◽  
N Gram ◽  
The Web

With the coming of cyberspace and the development of communication tools such as social networks. Now, the digital society is enriched continually by new content, especially the human images, which represent more than 50% of the information existed in the web. Hence, the necessity of an effective instrument for the automatic classification of this gigantic imagery base has become primordial. The content of our work, is a novel approach called clustering of Human Gesture Images using 3D cellular automaton, consists of 4 steps: Image vectoring using new image representation technique called n-gram pixels, and a normalised term frequency as weighting to calculate the importance of each term in the image. Our clustering strategy are based on the principle of 3D-CA, using a set of properties (transition function, and the 3D Moore neighbourhood). The experimentation using the dataset MuHAVi and a variety of validation measures. The performance of our approach were compared to the conventional methods in term of, representation (naive representation), and clustering strategy (kmeans).

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