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In recent years technology has dramatically expanded the possibilities for making available historical maps on the web. These various new techniques are examined and evaluated. It is argued that map curators are well placed to exploit these new techniques, and doing so has a range of advantages for the future survival of our institutions. The priorities and principles that should guide this work are suggested, along with the main practical conclusions for website presentation. [ABSTRACT FROM AUTHOR]

Reviews the Web site Samuel F. B. Morse Papers at the Library of Congress, 1793-1919.

Reviews the Web site The Churchill Papers.

Reviews the Web site, the Wilbur and Orville Wright Papers, a part of the Library of Congress American Memory project.

Purpose — The aims of this article are to describe the current status, usage, and acceptance of domestic preprint servers in mainland China by investigating three integrated preprint servers in mainland China. These are the Qiji e-print archive (Qiji), the Chinese Preprint Server (CPS), Chinese Science Papers Online (CSPO)., Design/methodology/approach — This research gives a quantitative analysis of the submission numbers to three preprint servers, the subject distribution and citations. An investigation of university websites and their policies was also carried out. Findings — Preprint submissions have a strong correlation with official promotion and policies. The preprints communication pattern in mainland China concentrates on the disciplines of physics, mathematics and computer science which reflects international preprint communication behaviour. As yet the domestic preprint servers in mainland China attract little attention from excellent scholars and have a low impact on scientific communication. Research limitations/implications — No author survey was conducted. Originality/value — This is the first paper to characterize the usage and acceptance of domestic preprint servers in mainland China using a quantitative method. [ABSTRACT FROM AUTHOR]

The World Wide Web serves as an excellent platform for information dissemination. Educational institutions such as universities are utilizing the web medium to reach their target audience. In the post-Covid-19 scenario, the web medium has obtained increased significance as it has become the primary access channel to reach these institutions. In this backdrop, it becomes essential to analyze the accessibility of these sites for students with special needs. This paper presents an approach to compute the accessibility of web pages for persons with disabilities. A variable magnitude approach is proposed in this paper for the computation of accessibility barrier count as a combination of two different components. The proposed approach is experimented with top ranked higher educational institution websites of India. Based on the inferences from the results and inputs received from students with disabilities, a set of suggestions have been compiled by this paper to minimize the barriers faced by persons with disabilities in consuming these web resources. [ABSTRACT FROM AUTHOR]

Background. Many researchers contact colleagues in order to obtain re-prints of their papers. Most people, these days, use electronic aids to do this. Aim. The aim of this study was to compare the success rates for obtaining re-prints using such electronic communication with those obtained previously by post. Method. A hundred requests for e-prints or re-prints were sent electronically to colleagues, and the response rates recorded. Results. Of those approached, 79% responded to the requests, although 12% of these needed a reminder. Those replying electronically without a reminder (41%) took an average of one day to respond (range 0-13 days), whereas those replying by mail without a reminder (26%) took on average nine days (range 2-34 days). Responders needing a reminder (12%) took on average 41 days to respond (range 32-71). There were no significant differences between the response rates of American and British researchers, nor between those of men and women, but there was a significantly higher response rate from colleagues who were sent accompanying materials with the request. Conclusions. These results indicate that rapid replies were received from people responding electronically and that the overall response rate was somewhat higher, and somewhat faster, than that found in most previous postal studies. However, the problem of non- and late-responders still exists. One further advantage for the electronic system is that, unlike the postal method, it facilitates rapid additional communication between the sender and the recipient. [ABSTRACT FROM AUTHOR]

In this paper, we discuss different object-oriented design structures that should be used in the process of building Web applications. We base our discussion on the OOHDM approach for defining a Web application model, in particular, the separation of the navigational model from the conceptual model. We focus on the systematic application of different design patterns (such as Observer and Decorator) for decoupling different aspects of a Web model. We briefly discuss some specific patterns that may appear in this kind of applications and we introduce additional concepts such as Web frameworks as a conceptual approach to maximize design reuse in Web applications. [ABSTRACT FROM AUTHOR]

CRISPR papers https://www.science.org/topic/crispr This page from Science magazine provides links to a list of papers dealing with reviews and original papers on CRISPR. Introduction to CRISPR https://innovativegenomics.org/education/digital-resources/what-is-crispr/ This site gives a brief overview of CRISPR technology and applications. Https://microbiologysociety.org/blog/crispr-and-microbiology.html This site provides an overview of the impact of CRISPR-Cas on microbial sciences. [Extracted from the article]

This paper discusses the tool for the main text and image extraction (extracting and parsing the important data) from a web document. This paper describes our proposed algorithm based on the Document Object Model (DOM) and natural language processing (NLP) techniques and other approaches for extracting information from web pages using various classification techniques such as support vector machine, decision tree techniques, naive Bayes, and K-nearest neighbor. The main aim of the developed algorithm was to identify and extract the main block of a web document that contains the text of the article and the relevant images. The algorithm on a sample of 45 web documents of different types was applied. In addition, the issue of web pages, from the structure of the document to the use of the Document Object Model (DOM) for their processing, was analyzed. The Document Object Model was used to load and navigation of the document. It also plays an important role in the correct identification of the main block of web documents. The paper also discusses the levels of natural language. These methods of automatic natural language processing help to identify the main block of the web document. In this way, the all-textual parts and images from the main content of the web document were extracted. The experimental results show that our method achieved a final classification accuracy of 88.18%. [ABSTRACT FROM AUTHOR]

The article presents comments on E. Mauldin and V. Arunachalam's paper titled "An Experimental Examination of Alternative Forms of Web Assurance for Business-to-Consumer e-Commerce," which appeared in volume 16 of the "Journal of Information Systems." The author observes that the paper clearly suggests that we need to develop better models, clearly define constructs and examine the topics, targets, and forms of assurance that we provide. The results of the paper support the findings of other research that Web assurance seems to make little difference to individual consumers.

Authors addressing advancement and innovation in topics of interest to AMTA are invited to submit a 200-word abstract for review and possible presentation at the Symposium. Visit the AMTA 2012 website at www.AMTA.org for a detailed list of paper topics. [ABSTRACT FROM PUBLISHER]

Summary: An efficient search engine needs to be designed in such a way that is able to provide relevant and accurate information in accordance with user needs and interests. The quality of downloaded records can be guaranteed only when website pages of high pertinence are downloaded by the crawlers in accordance with the current topics or user trends. Earlier Focused Crawlers were used to download topic specific pages but these crawlers were not able to adapt to the changing interest of the users. Therefore, there is a need to design crawlers that are able to naturally track the present pattern points and download site pages that meet client's present need. In this paper, a priority assigner and scheduler method for organizing Uniform Resource Locators (URLs) is being proposed that helps the crawler in tracking user's interest and prioritize downloading documents that are relevant to the user's choice in addition to current trends. The experimental results conforms that the proposed priority assigner and URL scheduler‐based crawling outshines conventional crawling strategies based on Change‐history or Site‐Map‐based methods in terms of quality of downloaded web pages and reducing network traffic over the Internet. [ABSTRACT FROM AUTHOR]

The article discusses the papers published within the issue including "Identifying Similar Pages of Web Applications Using a Competitive Clustering Algorithm," by De Lucia, Scaniiello and Tortora and "The Design and Use of WSDL-Test: A Tool for Testing Web Services," by Sneed and Huang.

Eye-tracking studies typically collect enormous amount of data encoding rich information about user behaviours and characteristics on the web. Eye-tracking data has been proved to be useful for usability and accessibility testing and for developing adaptive systems. The main objective of our work is to mine eye-tracking data with machine learning algorithms to automatically detect users' characteristics. In this paper, we focus on exploring different machine learning algorithms to automatically classify whether users are familiar or not with a web page. We present our work with an eye-tracking data of 81 participants on six web pages. Our results show that by using eye-tracking features, we are able to classify whether users are familiar or not with a web page with the best accuracy of approximately 72% for raw data. We also show that with a resampling technique this accuracy can be improved more than 10%. This work paves the way for using eye-tracking data for identifying familiar users that can used for different purposes, for example, it can be used to better locate certain elements on pages such as adverts to meet the users' needs or it can be used to do better profiling of users for usability and accessibility assessment of pages. [ABSTRACT FROM AUTHOR]

As data grows in size, search engines face new challenges in extracting more relevant content for users' searches. As a result, a number of retrieval and ranking algorithms have been employed to ensure that the results are relevant to the user's requirements. Unfortunately, most existing indexes and ranking algorithms crawl documents and web pages based on a limited set of criteria designed to meet user expectations, making it impossible to deliver exceptionally accurate results. As a result, this study investigates and analyses how search engines work, as well as the elements that contribute to higher ranks. This paper addresses the issue of bias by proposing a new ranking algorithm based on the PageRank (PR) algorithm, which is one of the most widely used page ranking algorithms We propose weighted PageRank (WPR) algorithms to test the relationship between these various measures. The Weighted Page Rank (WPR) model was used in three distinct trials to compare the rankings of documents and pages based on one or more user preferences criteria. The findings of utilizing the Weighted Page Rank model showed that using multiple criteria to rank final pages is better than using only one, and that some criteria had a greater impact on ranking results than others. [ABSTRACT FROM AUTHOR]

Higher education institutions and organizations have new opportunities thanks to digital technologies. Universities worldwide seek to provide the most outstanding available student services, particularly those that promote student achievements in their program objectives. The World Wide Web, in particular, has advanced Internet-based information technology, dramatically impacting all types of education delivery. Therefore, it has rapidly expanded the Open and Distance Education (ODE) system. This study aims to evaluate the performance of the higher institutions' ODE websites within 5 main criteria (Navigation, Accessibility, Design, Content Readability, and Announcements) and 20 sub-criteria. The case study has taken place in Türkiye, and the institutions available for the study were Anadolu University ODE; Ankara University ODE; Ataturk University ODE; Istanbul University ODE. This paper utilized two Multi-criteria Decision Making (MCDM) techniques: Fuzzy Analytical Hierarchy Process (Fuzzy AHP) and Fuzzy Weighted Aggregated Sum Product Assessment (Fuzzy WASPAS). The criteria were determined with the help of the literature, which was searched, then categorized and weighted with Fuzzy AHP. The evaluation step in the process was conducted with Fuzzy WASPAS to select the best-performed alternative ODE websites. According to research findings, Design is the essential criterion, followed by Accessibility, Content Readability, Announcement, and Navigation criteria. Our research identified and recommended the development areas for further research and proposed theoretical and practical implications as well as managerial decisions to be considered for the ODE website improvements. [ABSTRACT FROM AUTHOR]

The World Wide Web has revolutionized the way we live, causing the number of web pages to increase exponentially. The web provides access to a tremendous amount of information, so it is difficult for internet users to locate accurate and useful information on the web. In order to categorize pages accurately based on the queries of users, methods of categorizing web pages need to be developed. The text content of web pages plays a significant role in the categorization of web pages. If a word's position is altered within a sentence, causing a change in the interpretation of that sentence, this phenomenon is called polysemy. In web page categorization, the polysemy property causes ambiguity and is referred to as the polysemy problem. This paper proposes a fine-tuned model to solve the polysemy problem, using contextual embeddings created by the symmetry multi-head encoder layer of the Bidirectional Encoder Representations from Transformers (BERT). The effectiveness of the proposed model was evaluated by using the benchmark datasets for web page categorization, i.e., WebKB and DMOZ. Furthermore, the experiment series also fine-tuned the proposed model's hyperparameters to achieve 96.00% and 84.00% F1-Scores, respectively, demonstrating the proposed model's importance compared to baseline approaches based on machine learning and deep learning. [ABSTRACT FROM AUTHOR]

He holds a B.S. in engineering, an M.S. in applied physics and computer science, and an M.S. and Ph.D. in statistics from Virginia Tech. George Michailidis received his B.S. degree in economics from the University of Athens, Athens, Greece, in 1987, his M.A. degrees in both economics and mathematics from the University of California, Los Angeles (UCLA), Los Angeles, CA, USA, and his Ph.D. degree in mathematics from UCLA. His research interests and work generally falls into one of four primary themes: network modeling and analysis of structural and functional connectivity data; modeling and monitoring dynamic networks and their role in social dynamics and social media; unsupervised machine learning; and statistical machine learning for health, sustainability and the environment. He received his B. Stat and M. Stat degrees from the Indian Statistical Institute, and his PhD in Statistics from University of Illinois at Urbana-Champaign. [Extracted from the article]

The World Wide Web has become an important platform for sharing a wide array of information within the world community. In the post-COVID-19 scenario, the web become a primary source of information in the context of healthcare information dissemination. Healthcare institutions, such as hospitals and clinics, utilize this platform to provide services to reach their target users. It is essential to evaluate the web pages of healthcare institutions and compute their accessibility score for people with disabilities or special needs. This paper presents a variable-magnitude approach to compute the accessibility score of healthcare web pages, considering several requirements of people with disabilities. To compute the accessibility score through the proposed approach, we considered two different components and integrated them to compute the accessibility score through the proposed algorithm. The proposed approach was experimentally applied to sixteen healthcare institutes' web pages in Hungary. Based on the experiment's results and the received feedback from an accessibility specialist, a set of suggestions is provided to minimize the accessibility barrier and improve the accessibility score for people with disabilities to access web resources without difficulty. The main contribution of this work is in enhancing awareness of web platform accessibility for web practitioners to improve accessibility, so that people with disabilities can effectively access web resources. [ABSTRACT FROM AUTHOR]

Between 1987 and 1990, the EuroQol Group developed a 5-dimension health-related quality of life instrument, originally known as 'the EuroQol instrument', which since 1995 has been called the 'EQ-5D'. For several years, 'the EuroQol instrument' and 'EQ-5D' were both deployed in published materials. In order to standardise nomenclature, the EuroQol Group agreed in 2001 on a terminology glossary containing 12 items; this was recently revised and augmented to include 22 items and can be found on the Group's website (www.euroqol.org). Since 2009, EQ-5D has been available in three versions: EQ-5D-3L, EQ-5D-5L, and EQ-5D-Y, where 3L stands for three levels, 5L for five levels, and Y for youth. Yet, almost 20 years after the original glossary was published, the instrument and its components continue to be inaccurately named in published materials. Two surveys – of arthritis applications, and 82 recent publications – found a variety of terms used to describe the instrument. Despite the instrument being named 'EQ-5D' for 25 years, and the terms 'EQ-5D-3L' and 'EQ-5D-5L' being established for a decade, variations of 'the EuroQol instrument' continue to be used as descriptors. The EuroQol Group's website contains advice on how to use EQ-5D, including nomenclature, and potential users are urged to consult the site. Since standardising nomenclature is crucial in the compilation of systematic reviews, the EuroQol Group would like to emphasise that 'EQ-5D' is not an abbreviation and is the correct term to use when referring to the instrument in general. In the interests of accuracy and good practice, users of the EuroQol family of instruments should employ the standard EQ-5D nomenclature when reporting and discussing their findings. [ABSTRACT FROM AUTHOR]

Purpose - The purpose of this paper is to revisit Google Scholar. Design/methodology/approach - This paper discusses the strengths and weaknesses of Google Scholar. Findings - The Google Books project has given a massive and valuable boost to the already rich and diverse content of Google Scholar. The dark side of the growth is that significant gaps remain for top ranking journals and serials, and the number of duplicate, triplicate and quadruplicate records for the same source documents (which Google Scholar cannot detect reliably) has increased. Originality/value - This paper discusses the strengths and weaknesses of Google Scholar. [ABSTRACT FROM AUTHOR]

This paper draws heavily on the author's recent sojourn into the field of web traffic analysis. Based on this experience, the paper argues that web traffic analysis provides an interesting and useful set of procedures for learning about consumers' navigational paths through companies' web sites. Once these navigational paths have been logged and analyzed, it is then possible to determine how web site visitors-both new prospects and returning customers-react to marketing offers online. Web traffic analysis offers a variety of metrics that can be used to evaluate web sites, and intelligent executives can then modify these web sites in ways that improve visitor response. The paper demonstrates how web traffic analysis fits into the academic literature in marketing, and a number of software and web metrics issues are presented. An illustration is used to demonstrate some of the ways in which web traffic analysis can be used to drive customer acquisition and customer retention programs iii marketing. [ABSTRACT FROM AUTHOR]

This paper describes the findings of a quantitative study of 1,698 public library websites in Australia, Canada, and the United States over a period of three years using a spreadsheet protocol. The purpose of the research was to evaluate public library websites, available online sources, and whether library staff were available to respond to users' questions and concerns regarding the website. Descriptive statistics are used to report the results. The study provides public library website information regarding which protocol criteria each country's libraries attained. [ABSTRACT FROM AUTHOR]

Web data extraction has evolved over the years with extracting data from documents to today's World Wide Web (WWW). The WWW growth has placed data at the centre of this ecosystem and benefited society at large, businesses and consumers. The proposed system uses deep learning technique, Faster region convolutional neural network (R-CNN) for automated navigation, extraction of data and self-healing of data extraction engine to adapt to dynamic changes in website layout. The proposed system trains the Faster R-CNN model for detection of product in the web page using bounding box image detection technique and extracts product details with high extraction accuracy. Deep learning technique has advanced rapidly in the different fields for image detection, but its application in data extraction makes this paper unique. An ecommerce retail website is used as real-world example to prove the self-healing capability of the proposed automated web data extraction system. [ABSTRACT FROM AUTHOR]

In recent years, web crawling has gained a significant attention due to the drastic advancements in the World Wide Web. Web Search Engines have the issue of retrieving massive quantity of web documents. One among the web crawlers is the focused crawler, that intends to selectively gather web pages from the Internet. But the efficiency of the focused crawling can easily be affected by the environment of web pages. In this view, this paper presents an Automated Word Embedding with Parameter Tuned Deep Learning (AWE-PTDL) model for focused web crawling. The proposed model involves different processes namely pre-processing, Incremental Skip-gram Model with Negative Sampling (ISGNS) based word embedding, bidirectional long short-term memory-based classification and bird swarm optimization based hyperparameter tuning. The SGNS training desires to go over the complete training data to pre-compute the noise distribution before performing Stochastic Gradient Descent (SGD) and the ISGNS technique is derived for the word embedding process. Besides, the cosine similarity is computed from the word embedding matrix to generate a feature vector which is fed as input into the Bidirectional Long Short-Term Memory (BiLSTM) for the prediction of website relevance. Finally, the Birds Swarm Optimization-Bidirectional Long Short-Term Memory (BSO-BiLSTM) based classification model is used to classify the webpages and the BSO algorithm is employed to determine the hyperparameters of the BiLSTM model so that the overall crawling performance can be considerably enhanced. For validating the enhanced outcome of the presented model, a comprehensive set of simulations are carried out and the results are examined in terms of different measures. The Automated Word Embedding with Parameter Tuned Deep Learning (AWE-PTDL) technique has attained a higher harvest rate of 85% when compared with the other techniques. The experimental results highlight the enhanced web crawling performance of the proposed model over the recent state of art web crawlers. [ABSTRACT FROM AUTHOR]

In this paper, we present the findings of a qualitative analysis of 15,750 comments left by 2,041 participants in a Reconcile web credibility evaluation study. While assessing the credibility of the presented pages, respondents of the Reconcile studies were also asked to justify their ratings in writing. This work attempts to give an insight into the factors that affected the credibility assessment. To the best of our knowledge, the presented study is the most-recent large-scale study of its kind carried out since 2003, when the Fogg et al. sHow do users evaluate the credibility of Web sites? A study with over 2,500 participants' paper was published. The performed analysis shows that the findings made a decade ago are still mostly valid today despite the passage of time and the advancement of Internet technologies. However we report a weaker impact of webpage appearance. A much bigger dataset (as compared to Fogg's studies) allowed respondents to reveal additional features, which influenced the credibility evaluations. [ABSTRACT FROM AUTHOR]

The World Wide Web Consortium (W3C) has provided the most important set of guidelines for web accessibility which is popularly known as Web Content Accessibility Guidelines (WCAG). The accessibility analysis of higher education websites becomes paramount important to make them inclusive considering the growing number of enrollments of persons with disabilities (PwDs) in higher education, in countries such as India. This paper presents the accessibility analysis of higher education websites with the case study of college websites (N = 44) affiliated with the University of Kashmir and Cluster University Srinagar. The study has been carried out with two major accessibility evaluation tools called web accessibility test, denoted as TAW and the accessibility engine powering browser extensions called the accessibility engine, denoted as aXe. This paper lists the major accessibility barriers exposed by these sites in terms of metrics such as a number of problems, warnings and a status of success criteria violations. With respect to TAW tool, a number of problems observed were 2646, a large number of warnings to the scale of 15995 and the not reviewed items were 1356. With aXe tool, the total violations observed were 1951 and items needing review were 1733. Findings of the statistical analysis are also presented in this paper. This paper presents a roadmap of steps for making these websites inclusive and barrier-free for PwDs. [ABSTRACT FROM AUTHOR]

The author declares the processes in accepting submissions which are proposed to be published. He claims that the article or writing should no longer contain more than 10,000 words considering the increasing number of articles being submitted. He adds that an article can also be submitted electronically. He explains that through electronic process, via cjp@uleth.ca, they can process papers more quickly.

Purpose As libraries are required to become more accountable and demonstrate that they are meeting performance metrics, an assessment website can be a means for providing data for evidence-based decision making and an important indicator of how a library interacts with its constituents. The purpose of this paper is to share the results of a review of websites of academic libraries from four countries, including the UK, Canada, Australia and the USA.Design/methodology/approach The academic library websites included in the sample were selected from the Canadian Association of Research Libraries, Research Libraries of the United Kingdom, Council of Australian University Libraries, Historically Black College & Universities Library Alliance, Association of Research Libraries and American Indian Higher Education Consortium. The websites were evaluated according to the absence or presence of nine predetermined characteristics related to assessment.Findings It was discovered that “one size does not fit all” and found several innovative ways institutions are listening to their constituents and making improvements to help users succeed in their academic studies, research and creative endeavors.Research limitations/implications Only a sample of academic libraries from each of the four countries were analyzed. Additionally, some of the academic libraries were using password protected intranets unavailable for public access. The influences of institutional history and country-specific practices also became compelling factors during the analysis.Originality/value This paper seeks to broaden the factors for what is thought of as academic library assessment with the addition of qualitative and contextual considerations. [ABSTRACT FROM AUTHOR]

Purpose - The purpose of this paper is to engage in a thought experiment, exploring the use of Wikipedia or similar content-malleable systems for the review and dissemination of academic knowledge. Design/methodology/approach - By looking at other sources, the paper considers the current state of the academic peer-review process, discusses Wikipedia and reflects on dynamic content creation and management applications currently in use in academia. Findings - The traditional peer review process must be updated to match the rapid creation and diffusion of knowledge that characterises the 21st century. The Wikipedia concept is a potential model for more rapid and reliable dissemination of scholarly knowledge. The implications of such a concept would have a dramatic effect on the academic community. Originality/value - This paper promotes a radical idea for changing the methods by which academic knowledge is both constructed and disseminated. [ABSTRACT FROM AUTHOR]

This paper critically examines the language drawn on to describe socially responsible activities (CSR) in the context of the corporate web page. I argue that constructions of CSR are made plausible and legitimised according to the context of the expression. The web site is a genre of communication which addresses a broad and discerning audience; hence fractures in the institutionalised nature of argument may be apparent. The focus of this paper is to examine how the rhetoric of CSR is legitimised and to develop a framework of argumentation repertoires that operate in this context. [ABSTRACT FROM AUTHOR]

The article presents information on transport records deposited in 2002. T he following classified list of major archive collections acquired by British repositories during 2002 has been compiled by the Historical Manuscripts Commission. Some collections may not yet be available for research, and enquiries should be directed to the relevant repositories. The commission seeks each year to collect information relating to manuscript accessions from over 200 repositories and record offices throughout the British Isles. The information is published on the commission's Web site (virww.nationalarchives.gov.uk) and in a series of thematic digests which appear in learned journals and newssheets.

To be faced with a document collection and not to be able to find the information you know exists somewhere within it is a problem as old as the existence of document collections. Information architecture is the discipline dealing with the modern version of this problem: how to organize web sites so that users can actually find what they are looking for. Information architects have so far applied known and well-tried tools from library science to solve this problem, and now topic maps are sailing up as another potential tool for information architects. This raises the question of how topic maps compare with the traditional solutions, and that is the question this paper attempts to address. The paper argues that topic maps go beyond the traditional solutions in the sense that they provide a framework within which they can be represented as they are, but also extended in ways which significantly improve information retrieval. [ABSTRACT FROM AUTHOR]

Over the decades World Wide Web has become abundance source of distributed web content repository hyper-linked with diverse information domains. Performance of search engines in locating the information is exemplary but still there is inadequacy in search engines for focused crawling of web content. Web Page Classification being pivotal for information retrieval and management task plays imperative role for natural language processing in creating classified web document repositories and building indexed web directories. The conventional machine learning approaches extract the desired features from web pages in order to classify them whereas deep leaning algorithms learns the covet features as the network goes deeper and deeper. Transfer learning based Pre-trained models such as BERT attains impressive performance for text classification. In this study, we evaluate the effectiveness of adopting pre-trained model BERT for the task of classifying web pages into different categories. In this paper, we proposed an ensemble approach for web page classification by learning contextual representation using pre-trained bidirectional BERT and then applying deep Inception modelling with Residual connections for fine-tunes the target task by utilizing parallel multi-scale semantics. Experimental evaluation exhibit that proposed ensemble model outperforms benchmark baselines and achieve better performance in contrast to other transfer learning approaches evaluated on the web page classification task for different classification datasets. [ABSTRACT FROM AUTHOR]

With the increasing spread and usage of Internet technologies, the challenge of ensuring Web accessibility for all, including anyone with a form of disability, has become an hot issue, pursued both by the World Wide Web Consortium (W3C) and by governments in different countries. In particular, W3C has developed technical Web accessibility guidelines (WCAG), while governments have legally addressed the problem, by emanating specific laws and policies. In Italy, the Stanca Act, a law regulating the design and creation of governmental and public sector websites, recently updated according to last WCAG 2.1 was enacted in 2004. To analyze its impact, this paper presents a study about the accessibility of Italian public universities websites, by particularly analyzing their conformance to the Stanca Act. The reported analysis shows that, despite that the Stanca act dates back 15 years ago, Italian public universities are still struggling to satisfy all its requirements. [ABSTRACT FROM AUTHOR]