Abstract: Traditional drug discovery effectively contributes to the treatment of many diseases but is limited by high costs and long cycles. Quantitative structure-activity relationship (QSAR) methods were introduced to evaluate the activity of compounds virtually, which saves the significant cost of determining the activities of the compounds experimentally. Over the past two decades, many web tools for QSAR modeling with various features have been developed to facilitate the usage of QSAR methods. These web tools significantly reduce the difficulty of using QSAR and indirectly promote drug discovery. However, there are few comprehensive summaries of these QSAR tools, and researchers may have difficulty determining which tool to use. Hence, we systematically surveyed the mainstream web tools for QSAR modeling. This work may guide researchers in choosing appropriate web tools for developing QSAR models, and may also help develop more bioinformatics tools based on these existing resources. For nonprofessionals, we also hope to make more people aware of QSAR methods and expand their use.

Abstract: The Internet Archive pioneered web archiving and remains the largest publicly accessible web archive hosting archived copies of web pages (Mementos) going back as far as early 1996. Its holdings have grown steadily since, and it hosts more than 881 billion URIs as of September 2019. However, the landscape of web archiving has changed significantly over the last two decades. Today we can freely access Mementos from more than 20 web archives around the world, operated by for-profit and nonprofit organisations, national libraries and academic institutions, as well as individuals. The resulting diversity improves the odds of the survival of archived records but also requires technical standards to ensure interoperability between archival systems. To date, the Memento Protocol and the WARC file format are the main enablers of interoperability between web archives. We describe a variety of tools and services that leverage the broad adoption of the Memento Protocol and discuss a selection of research efforts that would likely not have been possible without these interoperability standards. In addition, we outline examples of technical specifications that build on the ability of machines to access resource versions on the Web in an automatic, standardised and interoperable manner.

Abstract: A sheer number of techniques and web resources are available for software engineering practice and this number continues to grow. Discovering semantically similar or related technical terms and web resources offers the opportunity to design appealing services to facilitate information retrieval and information discovery. In this study, we extract technical terms and web resources from a community of question and answer (Q&A) discussions and propose an approach based on a neural language model to learn the semantic representations of technical terms and web resources in a joint low-dimensional vector space. Our approach maps technical terms and web resources to a semantic vector space based only on the surrounding technical terms and web resources of a technical term (or web resource) in a discussion thread, without the need for mining the text content of the discussion. We apply our approach to Stack Overflow data dump of March 2018. Through both quantitative and qualitative analyses in the clustering, search, and semantic reasoning tasks, we show that the learnt technical-term and web-resource vector representations can capture the semantic relatedness of technical terms and web resources, and they can be exploited to support various search and semantic reasoning tasks, by means of simple K-nearest neighbor search and simple algebraic operations on the learnt vector representations in the embedding space.

Abstract: To allow previewing a web page, social media platforms have developed social cards: visualizations consisting of vital information about the underlying resource. At a minimum, social cards often include features such as the web resource’s title, text summary, striking image, and domain name. News and scholarly articles on the web are frequently subject to social card creation when being shared on social media. However, we noticed that not all web resources offer sufficient metadata elements to enable appealing social cards. For example, the COVID-19 emergency has made it clear that scholarly articles, in particular, are at an aesthetic disadvantage in social media platforms when compared to their often more flashy disinformation rivals. Also, social cards are often not generated correctly for archived web resources, including pages that lack or predate standards for specifying striking images. With these observations, we are motivated to quantify the levels of inclusion of required metadata in web resources, its evolution over time for archived resources, and create and evaluate an algorithm to automatically select a striking image for social cards. We find that more than 40% of archived news articles sampled from the NEWSROOM dataset and 22% of scholarly articles sampled from the PubMed Central dataset fail to supply striking images. We demonstrate that we can automatically predict the striking image with a Precision@1 of 0.83 for news articles from NEWSROOM and 0.78 for scholarly articles from the open access journal PLOS ONE.

Abstract: The paper proposes an approach based on the use of mathematical methods for modeling the behavior of the designed web application and user behavior. This approach allows an evaluation of the usability of this application. The paper discusses the models of user interfaces (UI), which are used to assess the convenience of site navigation. The possibility of using two classes of UI models is shown – structural-logical (ontological) and probabilistic. Models of the first class are used to assess the degree of comprehensibility of the proposed UI navigation on the search web resource in the accepted terms. For this, mathematically defined measures of similarity between the elements of the UI and their relationships and the elements of a hypothetical (but plausible) model of the user’s perception of the search area in a given subject area are used. In particular, the paper substantiates the possibility of using Jaccard and Levenshtein lexicographic distance metrics as such measures of similarity. Probabilistic models are based on Markov chains. With the help of these models, in the presence of reliable statistical data collected during the trial operation of a web application or its prototype, it is proposed to estimate the average number of user steps required to solve a specific problem of finding information about a subject area object. The paper provides some recommendations on the use of similarity measures to improve the usability of the UI of web applications. In addition, data on the technique for estimating the probabilities of transitions of Markov chains and semantic connections are presented. To clarify the features of the UI analysis models proposed in the article, the website of the RTU MIREA Admission Committee (https://priem.mirea.ru) is provided with a fairly simple organization that provides a search for information about admission and training at the University. The application of the approach described in the paper, along with traditional methods of testing the usability of UI, will increase the overall level of usability of applications, and thereby reduce the cost of identifying and correcting related errors.

Abstract: In this paper, we present BiGBERT, a deep learning model that simultaneously examines URLs and snippets from web resources to determine their alignment with children’s educational standards. Preliminary results inferred from ablation studies and comparison with baselines and state-of-the-art counterparts, reveal that leveraging domain knowledge to learn domain-aligned contextual nuances from limited input data leads to improved identification of educational web resources.

Abstract: Intelligent, autonomous agents are still not available in the Semantic Web at large scale today. Also the fields of Semantic Web and Multi-Agent Systems are not working together very closely although they could profit much from each other. Existing approaches merely use the Web as a transport layer and are not properly aligned to the architectural style of the Web. The Internet of Things, which would be very useful for agents to act upon Things in the real world, on the other side is very fragmented and not easily inter-operable. The Web of Things has emerged as an approach to use the (Semantic) Web as an application layer for Things. It is still unclear however, how agents on the WoT should look like. We propose that the Semantic Web is a suitable integration layer, both for agents and Things. We investigate how a Multi-Agent System in the Semantic Web of Things can be build by utilizing simple reflex agents and the communication paradigm of stigmergy. We map Things and artifacts to Web resources that are managed by a Web server and provide affordances to agents through hypermedia.

Abstract: With the experiment that we outline in this paper, we have had the ambition to pave the way for addressing the problem of supporting, enhancing and measuring collective AND informal learning, in particular serendipity. We want to support a new type of free navigation on Web resources (Documents, Topics, Events and Agents – human and artificial -) that is driven by the learner’s current needs and the preferences of the community of trust chosen by the learner, not by external actors. The experiment exploits the ViewpointS Web Application (VWA) prototype, that restructures a private version of a subset of the Web according to personalized choices in order to determine distances/proximities among resources. The process allows to enable, empower and measure the influence of members of the community of trust of the learner, on the learner’s choices when navigating in search of THE resources corresponding to THE immediate need, goal, strategy, wish. In the following, we will outline: 1. the rationale of our efforts and 2. the user’s reactions during the phase of -formal and informal- learning the functions and use of the prototypical software environment VWA, i.e.: a proof of concept for VWA.

Abstract: The development of the World Wide Web has evolved in an enormous volume of data; consequently, drawing out of useful knowledge is a demanding research issue. Use of data mining methods to the Web mentioned as Web mining. It goals at finding and extracting hidden knowledge from Web pages, and services bring out useful information from Web resources and discover common patterns on the Web for examining user activities in network-based systems. The key aim of this paper is to find interested users for a particular website. Hence, the requirement is to build a classification model that can categorize users into interested and non-interested visitors for a particular website based on their access pattern using Web server logs by making use of decision tree classification technique. It will be useful for website owners, to get potential users who are more interested in their website, so that the administration can provide higher privileges for them. Users will be benefited by the special service, which is not available for other users.

Abstract: This paper presents and evaluates a two-level web usage prediction technique, consisting of a neural network in the first level and contextual component predictors in the second level. We used Markov chains of different orders as contextual predictors to anticipate the next web access based on specific web access history. The role of the neural network is to decide, based on previous behaviour, whose predictor’s output to use. The predicted web resources are then prefetched into the cache of the browser. In this way, we considerably increase the hit rate of the web browser, which shortens the load times. We have determined the optimal configuration of the proposed hybrid predictor on a real dataset and compared it with other existing web prefetching techniques in terms of prediction accuracy. The best configuration of the proposed neural hybrid method provides an average web access prediction accuracy of 86.95%.

Abstract: Web services have become well known in the school library, yet adoption of them with in the school setting still little have been down, especial in junior high school library. In this paper, we develop a Grade 1-9 Curriculum Web resources search services by using Web services, Grade 1-9 Curriculum, Topic Maps, XTM and relational database management system (RDBMS). The Grade 1-9 Curriculum was transferred into a Topic Maps to representation domain-specific knowledge model and to connect to related resources. This domain-specific knowledge of a topic is exploited by the Web search services to suggest appropriate search queries and retrieval adequate information from the internet. Finally, these functions are integrated into the WUGU junior high school library system and provide an efficient way for users to access heterogeneous information.

Abstract: Covid-19 has unsettled the traditional teaching-learning model to meet the learning needs of the students in absence of a classroom environment. Knowledge delivery through online classes has been accompanied by low user satisfaction. One possible antidote to supplement a teacher’s efforts that merits attention is the utilization of freely available content on the web. Copious volumes of learning content are generated by numerous entities and are easily available for knowledge consumption. Modern search engines do provide access to this trove of data on virtually any topic. However, to consume the content presented by a search engine, a user is required to manually sieve through the content and identify the ones suitable to their needs. To a person possessing domain knowledge of the topic, this approach to knowledge consumption is acceptable. Now, take the case of a class eight student, he/she may not be able to benefit from this search, filter and consume content approach. This is primarily due to the lack of adequate domain and web search expertise on their part. In this paper, approaches to delivering knowledge using web-based resources to the student community taking into consideration the aforementioned concerns are explored.

Abstract: Various types of data are being collected given the recent increase in the kinds of services provided by companies. Among them, data collectors of web services collect MyData indiscriminately and benefit from them. Moreover, data providers are unaware of how their data are collected and used. Data collectors of web services consume web resources by generating a large amount of web traffic in the process of data collection. This traffic can cause damage such as service interruption. In this study, we propose a web site search engine that builds a system to control user information using blockchain, and builds on the recorded information. This system allows data providers to manage MyData more transparently, and search engines using blockchain can contribute to creating a better web ecosystem.

Abstract: From popular uprisings to pandemics, the Web is an essential source consulted by scientists and historians for reconstructing and studying past events. Unfortunately, the Web is plagued by reference rot which causes important Web resources to disappear. Web archive collections help reduce the costly effects of reference rot by saving Web resources that chronicle important stories/events before they disappear. These collections often begin with URLs called seeds, hand-selected by experts or scraped from social media. The quality of social media content varies widely, therefore, we propose a framework for assigning multi-dimensional quality scores to social media seeds for Web archive collections about stories and events. We leveraged contributions from social media research for attributing quality to social media content and users based on credibility, reputation, and influence. We combined these with additional contributions from the Web archive research that emphasizes the importance of considering geographical and temporal constraints when selecting seeds. Next, we developed the Quality Proxies (QP) framework which assigns seeds extracted from social media a quality score across 10 major dimensions: popularity, geographical, temporal, subject expert, retrievability, relevance, reputation, and scarcity. We instantiated the framework and showed that seeds can be scored across multiple QP classes that map to different policies for ranking seeds such as prioritizing seeds from local news, reputable and/or popular sources, etc. The QP framework is extensible and robust. Our results showed that Quality Proxies resulted in the selection of quality seeds with increased precision (by ~0.13) when novelty is and is not prioritized. These contributions provide an explainable score applicable to rank and select quality seeds for Web archive collections and other domains.

Abstract: A set of structural elements is proposed that extends the functionality of the CMS visual editor, created on the basis of the ReactJS library. The tools and technologies used to create a learning system in English based on JavaScript libraries are described. The developed and applied tools significantly reduce the labor costs of developing web resources.

Abstract: The article discusses the use of educational web resources in the process of learning English. The authors present different web resources to teach English which have proved to be an effective source in second language acquisition. Web resources help to improve the foreign language perception, to study grammar rules and correct pronunciation, to get acquainted to the culture of the target language and to heighten the interest of learning a foreign language. The advantage of using web resources lies behind the didactic principle of visibility. Visual representation of material proves to be the most important tool to better perceive information and to overall motivate children to stay focused on the task, while creating a natural language environment. As a result of this analysis the authors strongly agree on the benefits of using authentic web resources in teaching English. The analysis has also shown a complete correlation between the use of Internet technologies and course content mastering.

Abstract: A method wherein resource data for a web resource is generated can include age, confidence level, cacheability level, cache expiration, and/or priority level. Resource readiness for the web page is prepared based on the resource data. This can include preconnecting to a domain having the web resource when the resource data indicates a first level of resource readiness; preloading the web resource from the domain when the browser is open when the resource data indicates a second level of resource readiness, where the second level of resource readiness is greater than the first level of resource readiness; or prefetching the web resource from the domain prior to opening of the browser when the resource data indicates a third level of resource readiness, where the third level of resource readiness is greater than the second level of resource readiness.

Abstract: In the Web of Things (WoT) context, an increasing number of stationary and mobile objects provide functions as RESTful services, also called resources, that can be combined with other existing Web resources, to create value-added processes. However, nowadays resource discovery and selection are challenging, due to (1) the growing number of resources providing similar functions, making Quality of Resource (QoR) essential to select appropriate resources, (2) the transient nature of resource availability due to sporadic connectivity, and (3) the location changes of mobile objects in time. In this paper, we first present a location-aware resource discovery that relies on a 3-dimensional indexing schema, which considers object location for resource identification. Then, we present a QoR-driven resource selection approach that uses a Selection Strategy Adaptor (SSA) to form i-compositions (with i ∈N*) offering different implementation alternatives. The defined SSA allows forming resource compositions while considering QoR constraints and Inputs/Outputs matching of related resources, as well as resource availability and users different needs (e.g., optimal and optimistic compositions obtained using a scoring system). Analyses are made to evaluate our service quality model against existing ones, and experiments are conducted in different environments setups to study the performance of our solution.

Abstract: In the ear of information and R & D the new information era where IT makes remarkable progress and internet resources increase rapidly, proper access to information resource is more important than any other things. Especially In users of research Institute organizations demands more sophisticated services from this new digital environment, Such as e-journals, e-books, e-databases and web resources. In order to meet the growing needs for integrated e-resources, a proper digital library with high-quality services is very essential to meet the requirements of the users. This paper goes in to the details of Digital Library Responsibility and its importance in Research Institute and R & D Organizations. Keywords: Digital Library, Virtual Library, Electronic Library, Library Services, Research Institute, R&D Organizations.

Abstract: Each subject has a vast amount of deep web resources nowadays. It becomes tremendously hard to retrieve the required integrated information from all the related deep web resources for a subject, which drives out the technology on how to select the suitable web resources. In the medical field, the associations among entities are very extensive, as it can improve our overall level of health when all the related association information can be integrated and used. To improve the entities and their associations integration efficiency, we provide a data resource selection method based on the entities and their associations. The entity and association abstract matrix used in the method is built on the weighted entity scores and their association information in the entity and association diagram. Also, based on the entity and association query intention, it provides a new way to calculate the data resource association. After a large amount of tests and experiments on the data sets in the medical field, the new method is shown to provide a better precision and recall, and it can greatly support the study of information integration in the medical field.

Abstract: The concept of web resources is being used interchangeably synonymous with online resources, digital resources, and e-resources. But in simple connotations web resource can be regarded as the resource, document or information available on the internet or World Wide Web. The concept of web resource is primitive in the web architecture, and is used in the definition of its fundamental elements. The term web resource was first introduced to refer to targets of uniform resource locators (URLs) but its definition has been further extended to include the referent of any URL. According to Bokor1, “Although the world wide web is the major space for posting and disseminating information on the internet there is lack of centralized control or authority statistics about the web in terms of web pages, websites, and users, even though the world wide web has grown by exponential rate at 50 % a year, which represents an even-increasing proportion of human knowledge is becoming available online.”

Abstract: This study focuses on Electronic Information Resources for medical college Libraries of Uttar Pradesh, under the study. The studies aim to examine the factors like experience of Electronic information resources such as e-journals, standards, reports, patents, trade reports are available on the web which is widely used by students and researchers. This paper analyzes the use of such electronic resources by the medical college libraries students and researchers of medical college Libraries of Uttar Pradesh, India. Which is one of the premier Medical college libraries in India?. The study was done through survey method. The results of the study reveal that the Medical College Library possessed sufficient online journals and databases necessary for the student and researchers. Parameters such as use of library services, purpose of using web resource, frequency of usage place of using web resources, place of web resources, reliability of web resources, assistance for using web resources, barriers and preference of using web resources use of e-reference sources and e-journal database consulted by users are analyzed and results are presented in this paper. Keywords: Electronic Information Resources, Medical College Libraries web- resources, e- resources.

Abstract: In recent years, conducting investigative learning on the Web (Web-based investigative learning) has become popular, in which learners could investigate various questions with a huge number and variety of Web resources. This involves navigating Web resources/pages and constructing knowledge. In an elaborate investigation about an initial question, learners are expected to widen and deepen the question, which requires them to identify related questions to be further investigated. This corresponds to expanding the initial question into related ones as sub-questions. Such question expansion allows learners to create their own learning scenario. However, it is not easy for learners to create it in concurrence with navigation and knowledge construction process. In our previous work, we have proposed a model of Web-based investigative learning, and developed cognitive tool called interactive Learning Scenario Builder (iLSB for short). The results of the case study we conducted suggest that iLSB could significantly promote question expansion. The issue addressed in this paper is how to develop skills in question expansion for Web-based investigative learning with iLSB. Towards this issue, it is necessary for learners to practise so that they could expand an initial question wider and deeper. In this paper, we propose a method for generating exercise questions, which extracts keywords representing candidates of sub-questions to be expanded from an initial question by means of Linked Open Data and Word2vec. This paper also reports the case studies whose purpose were to evaluate the appropriateness and effectiveness of exercise questions generated by the proposed method. The results suggest that exercise questions are appropriate and effectively work particularly for novice learners to conduct question expansion.

Abstract: The primary motive of the present paper is to explain the level of awareness and use of Web Resources by the researchers of Indian Veterinary Research Institute (I.V.R.I), Izzatnagar, Bareilly, (U.P), India. Further the main purpose of this study is to focus the problem faced by the researchers of I.V.R.I, while retrieving the Web Resources. The data required for the study was collected through a well structured questionnaire. A total no. of 50 filled questionnaires was return back from the researches. Current study displays that the Web Resources were very useful for the researchers of I.V.R.I for their regular research work or any other purpose and Google is the widely used search engine in the I.V.R.I. Popular publishers E-Journal database consulted by the researchers were PUB-MED and Science Direct. Further the study also examines the use, importance, reliability and satisfaction on Web Resources over Print Resources.