Journal articles on the topic 'Web technologies (except Web search)'
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Zorena, Katarzyna, Marta Jaskulak, Małgorzata Michalska, Małgorzata Mrugacz, and Franck Vandenbulcke. "Air Pollution, Oxidative Stress, and the Risk of Development of Type 1 Diabetes." Antioxidants 11, no. 10 (September 27, 2022): 1908. http://dx.doi.org/10.3390/antiox11101908.
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Despite multiple studies focusing on environmental factors conducive to the development of type 1 diabetes mellitus (T1DM), knowledge about the involvement of long-term exposure to air pollution seems insufficient. The main focus of epidemiological studies is placed on the relationship between exposure to various concentrations of particulate matter (PM): PM1, PM2.5, PM10, and sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (O3), versus the risk of T1DM development. Although the specific molecular mechanism(s) behind the link between increased air pollution exposure and a higher risk of diabetes and metabolic dysfunction is yet unknown, available data indicate air pollution-induced inflammation and oxidative stress as a significant pathway. The purpose of this paper is to assess recent research examining the association between inhalation exposure to PM and associated metals and the increasing rates of T1DM worldwide. The development of modern and more adequate methods for air quality monitoring is also introduced. A particular emphasis on microsensors, mobile and autonomous measuring platforms, satellites, and innovative approaches of IoT, 5G connections, and Block chain technologies are also presented. Reputable databases, including PubMed, Scopus, and Web of Science, were used to search for relevant literature. Eligibility criteria involved recent publication years, particularly publications within the last five years (except for papers presenting a certain novelty or mechanism for the first time). Population, toxicological and epidemiological studies that focused particularly on fine and ultra-fine PM and associated ambient metals, were preferred, as well as full-text publications.
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Li, Jie, Peng Zhou, Shokouh Attarilar, and Hongyuan Shi. "Innovative Surface Modification Procedures to Achieve Micro/Nano-Graded Ti-Based Biomedical Alloys and Implants." Coatings 11, no. 6 (May 28, 2021): 647. http://dx.doi.org/10.3390/coatings11060647.
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Due to the growing aging population of the world, and as a result of the increasing need for dental implants and prostheses, the use of titanium and its alloys as implant materials has spread rapidly. Although titanium and its alloys are considered the best metallic materials for biomedical applications, the need for innovative technologies is necessary due to the sensitivity of medical applications and to eliminate any potentially harmful reactions, enhancing the implant-to-bone integration and preventing infection. In this regard, the implant’s surface as the substrate for any reaction is of crucial importance, and it is accurately addressed in this review paper. For constructing this review paper, an internet search was performed on the web of science with these keywords: surface modification techniques, titanium implant, biomedical applications, surface functionalization, etc. Numerous recent papers about titanium and its alloys were selected and reviewed, except for the section on forthcoming modern implants, in which extended research was performed. This review paper aimed to briefly introduce the necessary surface characteristics for biomedical applications and the numerous surface treatment techniques. Specific emphasis was given to micro/nano-structured topographies, biocompatibility, osteogenesis, and bactericidal effects. Additionally, gradient, multi-scale, and hierarchical surfaces with multifunctional properties were discussed. Finally, special attention was paid to modern implants and forthcoming surface modification strategies such as four-dimensional printing, metamaterials, and metasurfaces. This review paper, including traditional and novel surface modification strategies, will pave the way toward designing the next generation of more efficient implants.
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Vaughan-Nichols, S. J. "Seeking better web search technologies." Computer 36, no. 8 (August 2003): 19–21. http://dx.doi.org/10.1109/mc.2003.1220574.
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Choi, Ben. "Knowledge Engineering the Web." International Journal of Machine Learning and Computing 11, no. 1 (January 2021): 68–76. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1016.
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This paper focuses on the largest source of human knowledge: The Web. It presents the state of the art and patented technologies on search engine, automatic organization of webpages, and knowledge-based automatic webpage summarization. For the patented search engine technology, it describes new methods to present search results to the users and through browsers to allow the users to customize and organize webpages. For the patented classification technology, it describes new methods to automatically organize webpages into categories. For the knowledge-based summarization technology, it presents new technics for computers to "read" webpages and then to "write" a summary by creating new sentences to describe the contents of the webpages. These search engine, classification, and summarization technologies build a strong framework for knowledge engineering the Web.
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Lobuzina, K. "Semantic web-technologies and library search systems." Biblioteki nacionalʹnyh akademij nauk, no. 18 (February 12, 2020): 125–49. http://dx.doi.org/10.15407/maan2020.18.125.
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Niemann, Magnus, Malgorzata Mochol, and Robert Tolksdorf. "Enhancing Hotel Search with Semantic Web Technologies." Journal of theoretical and applied electronic commerce research 3, no. 2 (August 2008): 82–96. http://dx.doi.org/10.4067/s0718-18762008000100008.
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Riggs, Colby. "New Web Browser Applications." Library Hi Tech News 21, no. 4 (April 1, 2004): 11–12. http://dx.doi.org/10.1108/07419050410545870.
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Summarises new and developing Web browser technologies. Describes three browsers, one with a “tabbed browsing” capability, another which includes a new productivity tool called a “search information manager”, and a voice operated browser which is still in development.
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Unadkat, Rimpal. "Survey Paper on Semantic Web." International Journal of Advanced Pervasive and Ubiquitous Computing 7, no. 4 (October 2015): 13–17. http://dx.doi.org/10.4018/ijapuc.2015100102.
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The World Wide Web (WWW) allows the people to share the information (data) from the large database repositories globally. The tremendous growth in the volume of data and with the terrific growth of number of web pages, traditional search engines now days are not appropriate and not suitable anymore. Search engine is the most important tool to discover any information in World Wide Web. Semantic Search Engine is born of traditional search engine to overcome the above problem. However, to overcome this problem in search engines to retrieve meaningful information intelligently, semantic web technologies are playing a major role. In this paper the authors present survey on the role of search engines in intelligent web, Background, Challenges and some issues.
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Smyth, Barry, Jill Freyne, Maurice Coyle, and Peter Briggs. "Recommendation as Collaboration in Web Search." AI Magazine 32, no. 3 (June 5, 2011): 35–45. http://dx.doi.org/10.1609/aimag.v32i3.2362.
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Recommender systems now play an important role in online information discovery, complementing traditional approaches such as search and navigation, with a more proactive approach to discovery that is informed by the users interests and preferences. To date recommender systems have been deployed within a variety of e-commerce domains, covering a range of products such as books, music, movies, and have proven to be a successful way to convert browsers into buyers. Recommendation technologies have a potentially much greater role to play in information discovery however and in this article we consider recent research that takes a fresh look at web search as a fertile platform for recommender systems research as users demand a new generation of search engines that are less susceptible to manipulation and more responsive to searcher needs and preferences.
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Manukyan, A., D. Korobkin, S. Fomenkov, and S. Kolesnikov. "Semantic patent analysis with Amazon Web Services." Journal of Physics: Conference Series 2060, no. 1 (October 1, 2021): 012025. http://dx.doi.org/10.1088/1742-6596/2060/1/012025.
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Abstract Semantic analysis of the patent array allows us to solve several modern problems: (1) Clustering of the patent array. This information can be useful for identifying patent trends, key modern technologies, and predicting the demand for technologies in the future period; (2) Automation of the work of the patent office expert. Based on a full-text query (the text of a patent application), a search for analogous patents can be performed. This study describes a developed software that provides the possibility of clustering the patent array (topic modeling), identifying groups of related patents (not based on patent classification but on the basis of key terms/phrases extracted from the texts), and a search for patents using AWS technologies.
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Ahmed, Waqar. "Third generation of the Web: libraries, librarians and Web 3.0." Library Hi Tech News 32, no. 4 (June 1, 2015): 6–8. http://dx.doi.org/10.1108/lhtn-11-2014-0100.
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Purpose – This paper aims to explain the historic development of Web from the first generation to the second generation and now to the upcoming, third generation of the Web. It describes the importance of Web 3.0 and its other sub-functions to the librarians and their importance in the libraries. The basic purpose of this study is to give librarians an insight about the upcoming technologies. Design/methodology/approach – This paper is designed as an explanatory study using historic and literature search techniques, and is presented in an essay format containing the brief history of web, its current and coming technologies and its advantages and disadvantages. Findings – The finding and results indicate how the Web was designed into its current form. Findings show that at the next level, the interactions will become three ways. The robotics, artificial intelligence and semantic systems will help human in solving their queries. Research limitations/implications – The Web is spreading while new applications and technologies are inventing every day. This research may not be containing all the Web 3.0 applications, advantages and drawbacks. Practical implications – This paper includes the details of the Web applications that are used in Web 3.0. This article not only gives an insight to the Web applications related to the libraries but also indicates the advantages and drawbacks. Originality/value – This paper points out some very important applications to be used in the libraries in Web 3.0 environment, while a consideration of advantages and drawbacks makes this research more valuable for the librarians.
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Wilson, Tyler J., and Steven X. Ge. "ArraySearch: A Web-Based Genomic Search Engine." Comparative and Functional Genomics 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/650842.
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Recent advances in microarray technologies have resulted in a flood of genomics data. This large body of accumulated data could be used as a knowledge base to help researchers interpret new experimental data. ArraySearch finds statistical correlations between newly observed gene expression profiles and the huge source of well-characterized expression signatures deposited in the public domain. A search query of a list of genes will return experiments on which the genes are significantly up- or downregulated collectively. Searches can also be conducted using gene expression signatures from new experiments. This resource will empower biological researchers with a statistical method to explore expression data from their own research by comparing it with expression signatures from a large public archive.
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Heintz, Christophe. "Web search engines and distributed assessment systems." Distributed Cognition 14, no. 2 (September 21, 2006): 387–409. http://dx.doi.org/10.1075/pc.14.2.15hei.
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I analyse the impact of search engines on our cognitive and epistemic practices. For that purpose, I describe the processes of assessment of documents on the Web as relying on distributed cognition. Search engines together with Web users, are distributed assessment systems whose task is to enable efficient allocation of cognitive resources of those who use search engines. Specifying the cognitive function of search engines within these distributed assessment systems allows interpreting anew the changes that have been caused by search engine technologies. I describe search engines as implementing reputation systems and point out the similarities with other reputation systems. I thus call attention to the continuity in the distributed cognitive processes that determine the allocation of cognitive resources for information gathering from others.
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FUKUSHIMA, Toshikazu. "Basic technologies and trends of Web search engines: Part 1 Basic technologies." Journal of Information Processing and Management 46, no. 6 (2003): 363–72. http://dx.doi.org/10.1241/johokanri.46.363.
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Mayer, Miguel A., Pythagoras Karampiperis, Antonis Kukurikos, Vangelis Karkaletsis, Kostas Stamatakis, Dagmar Villarroel, and Angela Leis. "Applying Semantic Web technologies to improve the retrieval, credibility and use of health-related web resources." Health Informatics Journal 17, no. 2 (June 2011): 95–115. http://dx.doi.org/10.1177/1460458211405004.
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The number of health-related websites is increasing day-by-day; however, their quality is variable and difficult to assess. Various “trust marks” and filtering portals have been created in order to assist consumers in retrieving quality medical information. Consumers are using search engines as the main tool to get health information; however, the major problem is that the meaning of the web content is not machine-readable in the sense that computers cannot understand words and sentences as humans can. In addition, trust marks are invisible to search engines, thus limiting their usefulness in practice. During the last five years there have been different attempts to use Semantic Web tools to label health-related web resources to help internet users identify trustworthy resources. This paper discusses how Semantic Web technologies can be applied in practice to generate machine-readable labels and display their content, as well as to empower end-users by providing them with the infrastructure for expressing and sharing their opinions on the quality of health-related web resources.
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Evstigneeva, Anna. "Current trends in using web-technologies in libraries." Scientific and Technical Libraries, no. 4 (April 1, 2017): 22–33. http://dx.doi.org/10.33186/1027-3689-2017-4-22-33.
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Trends in modern web-technologies and their application in libraries are analyzed. Services and options offered by Internet-based retrieval systems, bookselling systems, and foreign academic and research resources aggregators are reviewed. Key functions of J-IRBIS2.0 - web-oriented solution based on IRBIS64 LAS designed to facilitate and simplify search and use of individual fulltext and multimedia library resources are highlighted. The author examines the efficiency of J-IRBIS2.0 module from the viewpoint of the Order No. 636 of the Ministry of Education and Science of June 29, 2015.
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Mikula, Peter, Jiří Hadrava, Tomáš Albrecht, and Piotr Tryjanowski. "Large-scale assessment of commensalistic–mutualistic associations between African birds and herbivorous mammals using internet photos." PeerJ 6 (March 19, 2018): e4520. http://dx.doi.org/10.7717/peerj.4520.
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Birds sitting or feeding on live large African herbivorous mammals are a visible, yet quite neglected, type of commensalistic–mutualistic association. Here, we investigate general patterns in such relationships at large spatial and taxonomic scales. To obtain large-scale data, an extensive internet-based search for photos was carried out on Google Images. To characterize patterns of the structural organization of commensalistic–mutualistic associations between African birds and herbivorous mammals, we used a network analysis approach. We then employed phylogenetically-informed comparative analysis to explore whether features of bird visitation of mammals, i.e., their mean number, mass and species richness per mammal species, are shaped by a combination of host mammal (body mass and herd size) and environmental (habitat openness) characteristics. We found that the association web structure was only weakly nested for commensalistic as well as for mutualistic birds (oxpeckers Buphagus spp.) and African mammals. Moreover, except for oxpeckers, nestedness did not differ significantly from a null model indicating that birds do not prefer mammal species which are visited by a large number of bird species. In oxpeckers, however, a nested structure suggests a non-random assignment of birds to their mammal hosts. We also identified some new or rare associations between birds and mammals, but we failed to find several previously described associations. Furthermore, we found that mammal body mass positively influenced the number and mass of birds observed sitting on them in the full set of species (i.e., taking oxpeckers together with other bird species). We also found a positive correlation between mammal body mass and mass of non-oxpecker species as well as oxpeckers. Mammal herd size was associated with a higher mass of birds in the full set of species as well as in non-oxpecker species, and mammal species living in larger herds also attracted more bird species in the full set of species. Habitat openness influenced the mass of birds sitting on mammals as well as the number of species recorded sitting on mammals in the full set of species. In non-oxpecker species habitat openness was correlated with the bird number, mass and species richness. Our results provide evidence that patterns of bird–mammal associations can be linked to mammal and environmental characteristics and highlight the potential role of information technologies and new media in further studies of ecology and evolution. However, further study is needed to get a proper insight into the biological and methodological processes underlying the observed patterns.
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Miller, Boaz, and Isaac Record. "Responsible epistemic technologies: A social-epistemological analysis of autocompleted web search." New Media & Society 19, no. 12 (May 5, 2016): 1945–63. http://dx.doi.org/10.1177/1461444816644805.
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Information providing and gathering increasingly involve technologies like search engines, which actively shape their epistemic surroundings. Yet, a satisfying account of the epistemic responsibilities associated with them does not exist. We analyze automatically generated search suggestions from the perspective of social epistemology to illustrate how epistemic responsibilities associated with a technology can be derived and assigned. Drawing on our previously developed theoretical framework that connects responsible epistemic behavior to practicability, we address two questions: first, given the different technological possibilities available to searchers, the search technology, and search providers, who should bear which responsibilities? Second, given the technology’s epistemically relevant features and potential harms, how should search terms be autocompleted? Our analysis reveals that epistemic responsibility lies mostly with search providers, which should eliminate three categories of autosuggestions: those that result from organized attacks, those that perpetuate damaging stereotypes, and those that associate negative characteristics with specific individuals.
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Popescu, Mioara. "Modelling prediction of unemployment statistics using web technologies." HOLISTICA – Journal of Business and Public Administration 8, no. 3 (December 1, 2017): 55–60. http://dx.doi.org/10.1515/hjbpa-2017-0023.
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AbstractThe global diffusion of Internet involves economic, political and demographic factors that can predict in real time. In this article, we demonstrate that according to data provided by EUROSTAT, the number of people looking for a job in Romania it is correlated with specific query terms using Google Trends. Search engine data is used to “predict the present” values of different economic indicators. The obtained results are compared with the classical method of developing the economic indicators, with official EUROSTAT employment data. In this paper, we demonstrate that the new methods to extract the economic indicators from web technologies are accurate.
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Molnár, Tünde Lengyel. "Trend Analysis of Technologies Supporting the Availability of Online Content: From Keyword-Based Search to the Semantic Web." Acta Universitatis Sapientiae, Communicatio 7, no. 1 (December 1, 2020): 92–106. http://dx.doi.org/10.2478/auscom-2020-0007.
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Abstract The era of Web 1.0 implied the connection of web-based documents via links, which enabled search engines to scan for information and guarantee the search and availability of webpages. Web 2.0 represented the next evolutionary stage. Known as the collaborative web, the emphasis in this case was on the establishment of services and content by the community. Search options were complemented with labelling and frequently undesirable clickstream analysis coupled with push technology-supported information provision. The semantic web is a revolutionary development, which, in addition to processing information by humans, assures the readability of datasets by machines and facilitates communication between devices. In order to promote data and information processing by machines, the semantic web relies on a special ontology allocating the respective meaning to the given data along with relying on the global indexing and naming schemes of the web. Several ontologies emerged with differing basic guidelines while displaying compatibility to the RDF standard ranging from the more semantic description of bibliographical data in libraries to the description of information gained from social networks and human conversations. While Web 3.0 is often used interchangeably with the semantic web, the former one with its intelligent server function exceeds the semantic web. We have to ask ourselves, however, whether we can rely on the accuracy of the obtained data, and we must explore what progress have libraries – expected to increase reliability – made regarding the implementation of semantic data storage.
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Mahdi, Mohammed Najah, Abdul Rahim Ahmad, and Roslan Ismail. "Evaluating Search Results in Exploratory Search." International Journal of Engineering & Technology 7, no. 4.35 (November 30, 2018): 276. http://dx.doi.org/10.14419/ijet.v7i4.35.22746.
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The volume of information available on the World Wide Web is quite significant. This plethora of information has, to a large extent constantly challenged researchers in seeking for ways of making the information easily accessible to end users in as convenient ways as possible. Characteristically, ensuring the accessibility of this large amount of information involves three all-encompassing processes of retrieval, organization and presentation. The World Wide Web offers a platform for sharing information from large database repositories globally. However, information needs to be searched with specialized tools commonly referred to as search engines. While a number of search engines does presently exist, most of these search engines are noted for their inability to retrieve information usable to the end user. It is therefore critical for the results generated from search engines to be intelligently organized for the optimal usefulness of the information to the searcher. Exploratory web technologies is capable of filing this gap. Therefore, this paper reviews exploratory search as a mechanism for conducting result-oriented search. It also reviews the ways of evaluating the search results obtained from an exploratory search.
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Meshechak, Natalia, and Alexander Karaush. "Improving friendliness on Web-IRBIS interface." Scientific and Technical Libraries, no. 4 (April 1, 2016): 43–55. http://dx.doi.org/10.33186/1027-3689-2016-4-43-55.
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Main vectors of improving friendliness of using search interface of digital and full-text catalogs at Siberian State Medical University Research Medical Library are discussed. Main tasks and solutions to increase attractiveness of the bibliographic sources for users are defined. The design technology for medical researchers’ personal pages with computerized publications list-building with IRBIS and technologies of their linking to digital and full-text catalogs are introduced.
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Prokoph, Andreas. "Search Integration with WebSphere Portal." International Journal of Web Portals 2, no. 3 (July 2010): 1–18. http://dx.doi.org/10.4018/jwp.2010070101.
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Modern web applications and servers like Portal require adequate support for integration of search services due to user focused information delivery and user interaction, as well as new technologies used to render such information, which is exemplified by two fundamental problems that have long plagued web crawlers: dynamic content and Javascript generated content. Today, the solution is simple: ignore such web pages. To enable “search” in Portals, a different “crawling” paradigm is required to search engines to gather and consume information. WebSphere Portal provides a framework that propagates content and information through “Seedlists”—comparable to HTML based sitemaps but richer in terms of features. This mandates that information and content delivering applications must be “search engine aware”, requiring them to enable services and seedlists for fast, efficient and complete delivery of content and information. This is the main integration point for search engines into the portal for Portal site search services for a rich and user focused search experience. This article discusses how such technologies can allow for more efficient crawling of public Portal sites by prominent Internet search engines as well as myths surrounding search engine optimization.
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Lorence, Daniel, and Joanna Abraham. "Comparative Analysis of Medical Web Search Using Generalized vs. Niche Technologies." Journal of Medical Systems 30, no. 3 (June 2006): 211–19. http://dx.doi.org/10.1007/s10916-005-7990-y.
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Mani Sekhar, S. R., G. M. Siddesh, Sunilkumar S. Manvi, and K. G. Srinivasa. "Optimized Focused Web Crawler with Natural Language Processing Based Relevance Measure in Bioinformatics Web Sources." Cybernetics and Information Technologies 19, no. 2 (June 1, 2019): 146–58. http://dx.doi.org/10.2478/cait-2019-0021.
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Abstract In the fast growing of digital technologies, crawlers and search engines face unpredictable challenges. Focused web-crawlers are essential for mining the boundless data available on the internet. Web-Crawlers face indeterminate latency problem due to differences in their response time. The proposed work attempts to optimize the designing and implementation of Focused Web-Crawlers using Master-Slave architecture for Bioinformatics web sources. Focused Crawlers ideally should crawl only relevant pages, but the relevance of the page can only be estimated after crawling the genomics pages. A solution for predicting the page relevance, which is based on Natural Language Processing, is proposed in the paper. The frequency of the keywords on the top ranked sentences of the page determines the relevance of the pages within genomics sources. The proposed solution uses a TextRank algorithm to rank the sentences, as well as ensuring the correct classification of Bioinformatics web page. Finally, the model is validated by being compared with a breadth first search web-crawler. The comparison shows significant reduction in run time for the same harvest rate.
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Redkina, N. S. "Global trends in library web-archives." Scientific and Technical Libraries 1, no. 1 (March 18, 2021): 99–114. http://dx.doi.org/10.33186/1027-3689-2021-1-99-114.
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The need for studying and promoting web-archiving for longterm information preservation and accessibility in future is substantiated. The existing technologies of web-archiving are specified and the problems related to the web dynamic character, errors, content complexity, are revealed. Successful experience in the world libraries’ web-archiving is discussed (selection, search, description technologies, access terms, etc.). The study findings demonstrate that web-archives are selected to supplement the libraries’ digital collections on hot topics, like COVID-19, or to meet the demands of specific user groups. For the purpose of cultural heritage preservation, the national libraries often focus of acquiring web-sites by the domains in the corresponding country. The university libraries focus on acquiring web-archives that meet research and educational demands of their users; and public libraries prefer the resources of interest to their local community. The findings may be used by world libraries for developing their digital collections.
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Carlson, Randal D., and Judi Repman. "Mining Hidden Gems beneath the Surface: A Look at the Invisible Web." Journal of Educational Technology Systems 30, no. 2 (December 2001): 125–35. http://dx.doi.org/10.2190/eqcv-d0ed-3m1f-01km.
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The future of the information landscape is being shaped by new technologies that store and retrieve information. For many computer users, the Web is their first and last stop in information searching. Searches produce an overwhelming amount of returns, but may have few that are “on target.” Finding general information may be easy, but depth of information is frequently lacking. This article focuses on describing resources for researchers, called the Invisible Web, that are hidden from usual search tools and contrasting them with those resources available in the surface Web. It then identifies search tools and strategies that can be used to dig beneath the surface of the Web to locate credible, in-depth information. These resources must be accessed using specialized search tools and databases.
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Avanija, J., and K. Ramar. "Semantic Clustering of Web Documents." International Journal of Information Technology and Web Engineering 7, no. 4 (October 2012): 20–33. http://dx.doi.org/10.4018/jitwe.2012100102.
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With the massive growth and large volume of the web it is very difficult to recover results based on the user preferences. The next generation web architecture, semantic web reduces the burden of the user by performing search based on semantics instead of keywords. Even in the context of semantic technologies optimization problem occurs but rarely considered. In this paper document clustering is applied to recover relevant documents. The authors propose an ontology based clustering algorithm using semantic similarity measure and Particle Swarm Optimization (PSO), which is applied to the annotated documents for optimizing the result. The proposed method uses Jena API and GATE tool API and the documents can be recovered based on their annotation features and relations. A preliminary experiment comparing the proposed method with K-Means shows that the proposed method is feasible and performs better than K-Means.
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Raza, Zahid, Khalid Mahmood, and Nosheen Fatima Warraich. "Application of linked data technologies in digital libraries: a review of literature." Library Hi Tech News 36, no. 3 (May 7, 2019): 9–12. http://dx.doi.org/10.1108/lhtn-10-2018-0067.
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Purpose This paper aims to describe how linked data technologies can change the digital library collections, what are the benefits of linked data applications in digital libraries and what are the challenges of digital libraries in linked data environment. Design/methodology/approach The present study is based on substantial literature review on the applications of linked data technologies in digital libraries. The search engines such as Google, Yahoo and Google Scholar were used to find the relevant literature for the study. Online databases such as Pro Quest, Science Direct, Emerald and JSTORE were also used to find the relevant literature of the study. Databases of Library Sciences Library and Information Science and Technology Abstracts and Library Information Science Abstracts were also used to find the relevant literature of the study. Library, linked data technologies, Semantic Web, digital library and digital collections were the main keywords which were used to find the relevant literature for the study. Findings The evolution of linked data technologies and Semantic Web has changed the traditional role of the libraries. Traditional libraries are converting into digital libraries and digital libraries are in a struggle to publish their resources on the Web using XML-based metadata standards. It has made capable the digital collections to be viewed by machines on the Web just like human. On the emergence of linked data applications in digital libraries, Web visibility of the libraries has been enhanced to provide the opportunities for the users to find their required quality information of libraries round-the-clock on the Web. National Library of France, National Library of Spain, Europeana, Digital Public Library of Americana, Library of Congress and The British Library have taken the initiatives to publish their resources on the Web using linked data technologies. Originality/value This study present several key issues for policy makers, software developers, decision makers and library administrators about linked data technologies and its implementations in digital libraries. The present study may play its role to facilitate the users of the Web who are enthusiastically interested to exploit the quality and authentic library resources on the Web round-the-clock. Search engines will also achieve their longstanding goal to exploit the quality resources of the libraries for their Web users to make their Web appearance more credible and trustworthy.
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LAM, TOBY H. W., JAMES N. K. LIU, and RAYMOND S. T. LEE. "MASTER: AN INTELLIGENT ONTOLOGY-BASED MULTI-AGENT SYSTEM FOR SIGHTSEER." International Journal of Software Engineering and Knowledge Engineering 19, no. 02 (March 2009): 137–57. http://dx.doi.org/10.1142/s021819400900412x.
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Recently, semantic web has received substantial attention from the research community. Semantic web aims to provide a new framework that can enable knowledge sharing and reusing. Semantic web is a collection of web technologies that include a number of markup languages such as RDF, OWL and RDFS. These markup languages are used for modeling a domain ontology. By using ontology to model resources, humans and computers (software agents) can have a consensus on the resource structure. The use of these technologies allows the creation of a more effective web search system. In this paper, we modeled travel domain ontology by using Web Ontology Language (OWL). Instead of inviting an expert to model the ontology, we created the travel ontology by collecting and analyzing the structural information from a number of travel related websites. Besides, we implemented an intelligent ontology-based Multi-Agent System for sighTseER (MASTER), which is constructed by using semantic web technologies. MASTER integrates Global Positioning System (GPS), ontology and agent technologies to support location awareness for providing the precise navigation and classify the tourist information for the users. The system was tested on 30 novice users. 83% of the users felt that the system can help tourists find tourist information in Hong Kong.
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Al-Lohibi, Hanaa, Tahani Alkhamisi, Maha Assagran, Amal Aljohani, and Asia Othaman Aljahdali. "Awjedni: A Reverse-Image-Search Application." ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 9, no. 3 (September 13, 2020): 49–68. http://dx.doi.org/10.14201/adcaij2020934968.
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The abundance of photos on the internet, along with smartphones that could implement computer vision technologies allow for a unique way to browse the web. These technologies have potential used in many widely accessible and globally available reverse-image search applications. One of these applications is the use of reverse-image search to help people finding items which they're interested in, but they can’t name it. This is where Awjedni was born. Awjedni is a reverse-image search application compatible with iOS and Android smartphones built to provide an efficient way to search millions of products on the internet using images only. Awjedni utilizes a computer vision technology through implementing multiple libraries and frameworks to process images, recognize objects, and crawl the web. Users simply upload/take a photo of a desired item and the application returns visually similar items and a direct link to the websites that sell them.
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Zimmerman, Steven. "Exploring strategies to prevent harm from web search." ACM SIGIR Forum 55, no. 1 (June 2021): 1–2. http://dx.doi.org/10.1145/3476415.3476431.
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Web search, the process of seeking and finding information online, is an ubiquitous activity engrained in the lives of many individuals and much of broader society. This activity, which has brought many benefits to individuals and society, has also opened the door to many harms, such as echo chambers, loss of privacy and exposure to misinformation. Members of the information retrieval (IR) community now recognize the dangers of the search technologies commonplace in our daily lives. The upshot of this recognition are growing efforts to address these dangers by the IR community. These efforts focus heavily on system oriented solutions, but give limited focus on behavioural and cognitive biases and behaviours of the search and even less attention to interventions designed to address these biases and behaviours. As such, a theoretical framework is proposed, with behavioural and cognitive strategies as a core component of interactive Web search environments designed to minimize harm. Using the framework as the foundation, this thesis presents a number of offline and online studies to evaluate nudging , a popular intervention strategy rooted in the field of behavioural economics, and boosting , a successful intervention strategy from the cognitive sciences, as strategies to reduce risk of harm in Web search. The key takeaway from these studies being that both boosting and nudging should be considered as viable approaches for harm prevention in Web search environments, in addition to pure system and algorithmic solutions. Additional contributions of this thesis include methods of study design for the comparison of multiple paradigms that promote improved decision making, along with a set of evaluation metrics to measure the success of the IR system and user performance as they relate to the harms being prevented. Future research is needed to confirm the effectiveness of these strategies for other types of harms.
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Jalali, Vahid, and Mohammad Reza Matash Borujerdi. "A Unified Architecture for Biomedical Search Engines Based on Semantic Web Technologies." Journal of Medical Systems 35, no. 2 (August 25, 2009): 237–49. http://dx.doi.org/10.1007/s10916-009-9360-z.
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Janev, Valentina, and Sanja Vraneš. "Applicability Assessment of Semantic Web Technologies in Human Resources Domain." Information Resources Management Journal 23, no. 3 (July 2010): 27–42. http://dx.doi.org/10.4018/irmj.2010070103.
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To meet the challenges of today’s Internet economy and be competitive in a global market, enterprises are constantly adapting their business processes and adjusting their information systems. In this article, the authors analyze the applicability and benefits of using semantic technologies in contemporary information systems. By using an illustrative case study of deployment of Semantic Web technologies in Human Resources sector at the Mihajlo Pupin Institute, this paper shows how the latest semantic technologies could be used with existing Enterprise Information Systems and Enterprise Content Management systems to ensure meaningful search and retrieval of expertise for in-house users as well as for integration in the European research space and beyond.
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dos Reis, Júlio C., Rodrigo Bonacin, and M. Cecília C. Baranauskas. "A Semiotic-Based Approach for Search in Social Network Services." International Journal of Web Portals 3, no. 3 (July 2011): 27–40. http://dx.doi.org/10.4018/jwp.2011070103.
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Search mechanisms in Social Network Services (SNSs) should take into account the meanings created, shared, and used by people through the use of the system. This paper investigates a new approach to develop search mechanisms more adequate for SNSs. SNSs represent an opportunity for people access to information in the Web. These systems allow individuals to constitute communities of common interests with wide cultural diversity, sharing information and vocabularies. The search mechanism proposed in this paper is grounded in Semantic Web technologies combined and articulated with Organizational Semiotics methods and artifacts. The authors illustrate a process to create the ontology and techniques to improve semantic search results in SNSs using Semantic Web Rule Language. The paper discusses the practical and technological results that could be achieved using the proposed approach.
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Gangurde, Roshan Anant, and Binod Kumar. "Biogeography optimization algorithm based next web page prediction using weblog and web content features." IAES International Journal of Artificial Intelligence (IJ-AI) 9, no. 2 (June 1, 2020): 327. http://dx.doi.org/10.11591/ijai.v9.i2.pp327-335.
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<span lang="EN-US">Recommendation of web page as per users’ interest is a broad and important area of research. Researcher adopts user behavior from actions present in cookies, logs and search queries. This paper has utilized a prior webpage fetching model using web page prediction. For this purpose, web content in form of text and weblog features are analyzed. As per dynamic user behavior, proposed model LWPP-BOA (Logistic Web Page Prediction By Biogeography Optimization Algorithm) predict page by using genetic algorithm. Based on user actions, weblog feature are developed in form of association rules, while web content gives a set of relevant text patterns. Page prediction as per random user behavior is enhanced by means of Biogeography Optimization Algorithm where crossover operation is performed as per immigration and emigration values. Here population updation depends on other parameters of chromosome except fitness value. Experiments are conducted on real dataset having web content and weblogs. Results are compared using precision, coverage, M-Metric, MAE and RMSE parameters and it indicates that the proposed work is better than other approaches already in use.</span>
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Balaji, B. Preedip, Vinay M.S., Shalini B.G., and Mohan Raju J.S. "An integrative review of Web 3.0 in academic libraries." Library Hi Tech News 35, no. 4 (June 4, 2018): 13–17. http://dx.doi.org/10.1108/lhtn-12-2017-0092.
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Purpose The purpose of this paper is to present an integrated literature review exploring the nature of responsive, semantic and interactive Web 3.0 technologies applicable for academic libraries. Design/methodology/approach The authors conducted an integrated review of the literature combining a strategy of automated and keywords search. The main source for identifying the studies are Emerald Library Studies and Information & Knowledge Management eJournals, Web of Kn.edge and Library, Information Science & Technology Abstracts (EBSCO) databases. To this end, a sample of (n = 140) studies was analyzed to characterize the Web 3.0 trends and its applications based on theme, years and document types. Findings A review of literature reveals that Web 3.0 needs evaluation as to what extent they are integrated, deployed and mainstreamed into library services and in information management practices. It is important to develop a conceptual framework that explores the linkages of Web 3.0 technologies and their applications in academic libraries. Originality/value This review shows how Web 3.0 technologies enhance library services in its holistic conceptualization and how academic libraries are moving into a more robust, inclusive and adaptable phase in their service values and innovation.
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Baklanov, Oleksii, Volodymyr Bezkorovainyi, and Liudmyla Kolesnyk. "Studying cognitive services for websites search engine optimization." Bulletin of Kharkov National Automobile and Highway University, no. 97 (September 5, 2022): 7. http://dx.doi.org/10.30977/bul.2219-5548.2022.97.0.7.
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The subject of research in the article is machine learning models for classifying web-pages by quality and compliance with SEO rules. The goal of the article is improving the efficiency of search engines by establishing and using factors that have the greatest impact on the degree of SEO optimization of web pages. The article solves the following tasks: study of the effectiveness of using machine learning methods to build a classification model that automatically classifies web pages according to the degree of adaptation to SEO optimization recommendations; assessment of the influence of relevant page factors (text on a web page, text in meta tags, links, image, HTML code) on the degree of SEO optimization using the developed classification models. The following methods are used: machine learning methods, classification methods and statistical methods. The following results were obtained: analysis of the effectiveness of the application of machine learning methods to determine the degree of adaptation of a web page to SEO recommendations was carried out; classifiers were trained on a data set of web pages randomly selected from the DMOZ catalog and rated by three independent SEO experts in the categories: “low SEO”, “medium SEO” and “high SEO”; five main classifiers were tested (decision trees, naive Bayes, logistic regression, KNN and SVM), on the basis of which it was revealed that all the studied models received greater accuracy (from 54.69% to 69.67%) than the accuracy of the baseline (48.83%); the results of the experiments confirm the hypothesis about the effectiveness of adapting web pages to SEO recommendations using classification algorithms based on machine learning. Conclusions. It was confirmed that with the help of classification algorithms built on the basis of machine learning and the knowledge of experts, it is possible to effectively adjust web pages to SEO recommendations. The considered methods can be adapted for various search engines and applicable to different languages, provided that a stamping or lemmatization algorithm has been developed for them. The results of the study can be used in the development of automated software to support the work of SEO in audit technologies to identify web pages in need of optimization and in spam detection processes.
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Mohammed, Hataw Jalal, and Kamaran Hama Ali Faraj. "A Python-WSGI and PHP-Apache Web Server Performance Analysis by Search Page Generator (SPG)." UKH Journal of Science and Engineering 5, no. 1 (June 30, 2021): 132–38. http://dx.doi.org/10.25079/ukhjse.v5n1y2021.pp132-138.
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The web servers (WSGI-Python) and (PHP-Apache) are in middleware tier architecture. Middleware architecture is between frontend tier and backend tier, otherwise it’s a connection between frontend tier and backend tier for three tier architecture. The ELearning systems are designed by two different dynamic web technologies. First is by Python-WSGI and the second is by Personal Home Page (PHP-Apache). The two websites were designed with different open source and cross platform web technologies programming language namely; Python and PHP in the same structure and weight will evaluate perform over two different operating systems (OSs): 1) Windows-16 and 2) Linux-Ubuntu 20.4. Both systems run over the same computer architecture (64bit) as a server side with a common backend MySQL web database for both of them. Nevertheless, the middleware for PHP is a cross Apache MySQL PHP Perl (XAMPP), but the middleware for Python is Pycharm and the web server gateway interface (WSGI). WSGI and Apache are both web servers and this paper will show which of them has a better response time (RT). On the one hand, the experimental results demonstrate that the Python-WSGI is even weightier in Mbyte than PHP-Apache, on the other hand Python is still faster and more accurate than PHP. The designed SPG is by handwriting codes: one time designed the SPG by PHP source code and the other time designed by Python source code. Both Python-WSGI and PHP-Apache results are targeted to compare by the least time in milliseconds and take in to account enhanced performance.
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Murzo, Yuliya, Natalia Chuvileva, and Aleksandra Schetinina. "Using Semantic Patterns in Web Search and Assessment of Professionally Oriented Texts in a Foreign Language for Training Students in Higher Education Institutions of Mineral Resource Profile." International Journal of Emerging Technologies in Learning (iJET) 17, no. 05 (March 14, 2022): 238–51. http://dx.doi.org/10.3991/ijet.v17i05.28231.
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The article aims to analyse the possibility to use methods of web search and identification of semantic text patterns with a view to automatising the web search and assessment of professionally oriented texts used to train students at foreign language departments of higher education institutions of mineral re-source development profile. The work provides an overview of relevant AI methods that may be employed to perform the tasks mentioned above and anal-yses a number of similar works. It offers a structure of patterns that can be used to find relevant research articles and describes approaches to assessment of the texts found. It also proposes the front-end structure of an application that can be tasked with web search and subsequent assessment of texts. The case study pre-sents semantic analysis and assessment of a professionally oriented text written in English. The research done shows good prospects for using Semantic Web technologies for web search and assessment of texts available on the Internet not only for training students but also, in broader formulation, for teaching and learning in a chosen direction. This is ensured by flexibility of methods for se-mantic pattern search and identification. With respect to further development of the research, the authors consider designing an operational application for text search and assessment and also outcome analysis for a variety of directions of learning within the mineral resources development domain.
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Davlatov, Sh R., and P. V. Kuchinsky,. "Web resource security analysis based on CVSS metrics." Informatics 17, no. 3 (September 30, 2020): 72–77. http://dx.doi.org/10.37661/1816-0301-2020-17-3-72-77.
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Based on the analysis of vulnerability data for web resources and the CVSS metric, the distribution of the average CVSS (Common Vulnerability Scoring System standard for calculating a numerical vulnerability score on a ten-point scale) score for the websites of theRepublicofBelaruswas studied. The hypothesis on the distribution of the CVSS vulnerability assessment according to Poisson's law was tested by chi-square criteria. It was found that about 10% of web resources from the original general of samples of 19000 size have a critical averaged assessment level of vulnerability. As part of this work an universal system for collecting technical information about active web resources on the Internet from public directories and registries has been developed. Specific search templates have been developed using RegExp JavaScript expressions to detect the versions of technologies that were used to create websites. Based on this data the percentage distribution of used technologies, top-level domains and the geographical location of the servers were calculated. Proposed system can be adapted to any unique conditions required by information security specialists to conduct a security audit of web resources.
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Baysinger, Grace, and Tom Cramer. "Using xSearch for Accelerating Research-Review of Deep Web Technologies Federated Search Service." Charleston Advisor 13, no. 2 (October 1, 2011): 55–60. http://dx.doi.org/10.5260/chara.13.2.55.
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FUKUSHIMA, Toshikazu. "Basic technologies and trends of Web search engines: Part 2 The recent topics." Journal of Information Processing and Management 46, no. 7 (2003): 436–45. http://dx.doi.org/10.1241/johokanri.46.436.
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Riggs, Colby. "New Technologies: A New Reference Search Service and a Couple of Web Browsers." Library Hi Tech News 22, no. 3 (March 2005): 15–17. http://dx.doi.org/10.1108/07419050510601560.
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Mahdi, Mohammed Najah, Abdul Rahim Ahmad, Hayder Natiq, Mohammed Ahmed Subhi, and Qais Saif Qassim. "Comprehensive Review and Future Research Directions on Dynamic Faceted Search." Applied Sciences 11, no. 17 (August 31, 2021): 8113. http://dx.doi.org/10.3390/app11178113.
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In modern society, the increasing number of web search operations on various search engines has become ubiquitous due to the significant number of results presented to the users and the incompetent result-ranking mechanism in some domains, such as medical, law, and academia. As a result, the user is overwhelmed with a large number of misranked or uncategorized search results. One of the most promising technologies to reduce the number of results and provide desirable information to the users is dynamic faceted filters. Therefore, this paper extensively reviews related research articles published in IEEE Xplore, Web of Science, and the ACM digital library. As a result, a total of 170 related research papers were considered and organized into five categories. The main contribution of this paper is to provide a detailed analysis of the faceted search’s fundamental attributes, as well as to demonstrate the motivation from the usage, concerns, challenges, and recommendations to enhance the use of the faceted approach among web search service providers.
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Hsu, I.-Ching, Jang Yang Lee, Der-Chen Huang, and Kuan-Yang Lai. "Integrating Semantic Web technologies with XML Schema using role-mapping annotations." Electronic Library 32, no. 2 (April 1, 2014): 147–69. http://dx.doi.org/10.1108/el-07-2012-0096.
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Purpose – XML Schema is used to define schema of XML documents that have become standards for data exchange in various Web-based information applications. The main problem of XML Schema is that it emphasizes syntax and format rather than semantics and knowledge representation. Hence, even though having the advantage of describing the structure and constraining the contents of XML documents, XML Schema lacks the computer-interpretability to support knowledge representation for existing information systems. The purpose of this study is to propose role-mapping annotations for XML Schema (RMAXS) to integrate Semantic Web with XML Schema, which allows the facilitation interoperability between adjoining layers of the Semantic Web stack. Design/methodology/approach – The XML, XML Schema, ontology, and rule can be completely integrated into a multi-layered intelligent framework (MIF) for XML-based applications in the current web environment. This work presents a semantic-role-mapping intelligent system, called SRMIS, based on the MIF. SRMIS consists of XML-based document repository, search engine, inference engine and transformation engine, which provides different approaches to present the various metadata and knowledge representations. Findings – The traditional Semantic Web stack has three gaps between adjoining layers. The first gap, between the XML and XML Schema layers can be bridged with an XMLSchema-instance mechanism. The third gap, between the ontology and rule layers can be connected by building rules on top of ontologies. This study proposes RMAXS to couple the second gap, between the XML schema and ontology layers. The proposed multi-layered intelligent framework (MIF) adopts these coupling technologies to facilitate interoperability between adjoining layers. Therefore, the XML, XML Schema, ontology, and rule can be completely integrated into the MIF for intelligent applications in the web environment. Practical implications – To demonstrate the SRMIS applications, this work implements a prototype that helps researchers to find interested papers. Originality/value – This work presents a semantic-role-mapping intelligent system, called SRMIS, based on the MIF. SRMIS consists of XML-based document repository, search engine, inference engine and transformation engine, which provides different approaches to present the various metadata and knowledge representations. The proposed SRMIS can be applied in various application domains.
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Muneeb Ahmed Farooqi, Muhammad Arslan Ashraf, and Muhammad Umer Shaukat. "Google Page Rank Site Structure Strategies for Marketing Web Pages." Journal of Computing & Biomedical Informatics 2, no. 02 (September 15, 2021): 140–57. http://dx.doi.org/10.56979/202/2021/30.
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There are several Search Engines to categorize the web content and show us on base of our search query.These search engines are continuously visiting the pages/sites and gather the information using different techniques called crawling/spidering. On basis of daily content collection all search engines are managing their own indexes for searches.For every business there is a need to make its pages as most top rated/ranked pages by making structurally and content wise batter so that any crawler can easily crawl it and can rank it among the top 10 results.In this thesis only, structural behavior is being discussed in which internal graphical relationships between pages and the loading time of pages in terms of all supportive content .Structural overview includes the HTML tags structure which works as tree flow starting from tag and then moving towards child nodes.Page speed identifies the loading time of a page, it helps search engine to categories pages for mobile devices as well.Sometimes there is a thunder option on mobile search with rank it represents that this page is super-fast in loading. Page loading includes the loading of all content except Ajax base content.According to Google Page, rank is based on page content, page structure and page loading time.As discussion is only Page structure and page loading time so Google already gave some instructions related to Page structure and page loading speed but those instructions are not enough also it need to discover the new dimensions to make business pages among the top-rated results.
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Lu, An Sheng, Zi Hui Li, Hui Xiu Jin, Jia Yi Zhang, and Hang Wei. "Research of Distributed Search Engine Based on Hadoop (DSEH)." Applied Mechanics and Materials 427-429 (September 2013): 2126–29. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2126.
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The study of distributed search engine based on Hadoop (referred to as DSEH) has put forward system structure of distributed web service search engine based on Map/Reduce, and made introduction to related modules. Built the whole system on Hadoop framework by Map/Reduce and analyzed the key technologies of distributed search engine.
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Исакова and G. Isakova. "Electronic Resources as a Mean of Students’ Independent Work Organization." Modern Communication Studies 3, no. 3 (June 10, 2014): 49–53. http://dx.doi.org/10.12737/4302.
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The article deals with the problem of learners’ independent work organization
effectiveness. The author defines active use of electronic resources
within the organization of students’ independent work as one of the most
effective means of this issue solution in college educational environment.
The article describes pedagogical potential of Internet-resources, such as:
search engines and catalogues, theme web-sites and portals within the
framework of examined material, college web-site, personal teachers’ websites
(web-pages), e-mail services, web-forums, students’ blogs, students’
promo-sites, cloud technologies, wiki technologies, social networks. The
author comes to a conclusion that the types of students’ independent work,
which are becoming available to the teacher with using mentioned electronic
resources, facilitates the learners’ motivation rising, their cognitive activity,
professional self-perfection, developing of business communication skills,
and therefore upgrading the level of college students specialized training.
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Guven, Serife Tutar. "Web-based health education in pediatric nursing." New Trends and Issues Proceedings on Humanities and Social Sciences 4, no. 2 (December 5, 2017): 122–27. http://dx.doi.org/10.18844/prosoc.v4i2.2739.
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The internet, which provides the access, share and communication information of people worldwide and is regarded as a revolution, has an increasingly important role in health education, research and applications. Health professionals search for new ways to facilitate and improve the provision of effective health education to individuals and communities. The developments in computer and internet technologies and high priority of finance for nursing studies in technological terms lead researchers to develop, use and test different types of web-based initiatives. In addition, a large amount of quality evidence that shows the success of health education attempts carried out on the web draws the attention of health professionals responsible for providing health education. This study aims to analyze web-based health education and provide health professionals with a point of view regarding its use in pediatric nursing. Keywords: Web-based education; pediatric nursing; health education