Academic literature on the topic 'Internet searching. Web search engines. World Wide Web'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Internet searching. Web search engines. World Wide Web.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Internet searching. Web search engines. World Wide Web"
1
Kelly-Holmes, Helen. "Irish on the World Wide Web." Journal of Language and Politics 5, no. 2 (September 15, 2006): 217–38. http://dx.doi.org/10.1075/jlp.5.2.05kel.
Full textAbstract:
This paper reports on the process of searching with Irish words on the Irish language version of the Google Internet search engine. Five words from ‘typical’ and ‘non-typical’ domains for Irish are used, and the results are analysed in terms of the “authenticity” of the search process and results, the language usage in the sites found through the search process, and the domains represented by the results. The study identifies a number of problems encountered when searching for results in a ‘small’ language. It also indicates that the ‘official’ sector and other sectors closely related to language policy and planning are the main providers of monolingual Irish texts on the Internet, with a variety of mixed Irish and English approaches favoured by other providers.
2
Møller, Bernt. "Internet som tekstsamling og resourcebank i sprogundervisning." HERMES - Journal of Language and Communication in Business 16, no. 30 (March 3, 2017): 75. http://dx.doi.org/10.7146/hjlcb.v16i30.25717.
Full textAbstract:
The World Wide Web contains huge amounts of documents in several languages. Also, internet offers numerous resources which may help in finding and understanding web documents. This article firstly aims at passing on facts and considerations from the author’s teaching experience within a thematic process framework of Information Management. Here, information searching, evaluation, registration and presentation are guide-lines. In information searching, the points touched upon include search engine strate-gies, such as qualified URL guessing and language checking. Information evaluation mentions a few basic techniques while information registration and presentation point to the utility of co-integrating multimedia links in the software applications. Secondly, the article in a smaller section suggests a typology for internet language resources and comments on a number of useful language web sites. Finally, selected perspectives and challenges are outlined.
3
Mastalski, Arkadiusz Sylwester. "Wiersze z Google — problemy autorstwa i sprawczości w świetle teorii wiersza." Prace Literackie 57 (July 12, 2018): 73–87. http://dx.doi.org/10.19195/0079-4767.57.7.
Full textAbstract:
Google poetics — issues of an authorship and agency within the view of a verse theory This article presents an attempt to explain the popular internet phenomenon called Wiersze z Google ang. Google Poetics, poems created by Google Searching engine — the most frequently used search engine on the World Wide Web. In author’s opinion these poems are not created by humans only, but just an „uncreative” effect of the poetic collaboration between the web browser, data bases, searching indexes and, last but not least, the users. Within the context of the theory of versification and some other intellectual backgrounds I try to show how these different agencies work together to create an unique poems based on peoples searchings, metadata and how words typed in the window of the browser become a poem-in-verses.
4
FAN, XIUYI, and THOMAS C. HENDERSON. "ROBOTSHARE: A GOOGLE FOR ROBOTS." International Journal of Humanoid Robotics 05, no. 02 (June 2008): 311–29. http://dx.doi.org/10.1142/s0219843608001388.
Full textAbstract:
Knowledge representation is a traditional field in artificial intelligence. Researchers have developed various ways to represent and share information among intelligent agents. Agents that share resources, data, information, and knowledge perform better than agents working alone. However, previous research has also revealed that sharing knowledge among a large number of entities in an open environment is a problem yet to be solved. Intelligent robots are designed and produced by different manufacturers. They have various physical attributes and employ different knowledge representations. Therefore, any nonstandard or non-widely-adopted technology is unsuitable for providing a satisfactory solution to the knowledge sharing problem. In this research, we pose robot knowledge sharing as an activity to be developed in an open environment — the World Wide Web. Just as search engines like Google provide enormous power for information exchange and sharing for humans, we believe that a searching mechanism designed for intelligent agents can provide a robust approach to sharing knowledge among robots. We have developed: (1) a knowledge representation for robots that allows Internet access, (2) a knowledge organization and search indexing engine, and (3) a query/reply mechanism between robots and the search engine.
5
Bogel, Gayle. "Students in Nova Scotia Schools Without Teacher-Librarians are not Achieving Department of Education Expectations for Information Literacy Skills." Evidence Based Library and Information Practice 2, no. 2 (June 5, 2007): 90. http://dx.doi.org/10.18438/b8v01w.
Full textAbstract:
A review of:
Gunn, Holly, and Gary Hepburn. “Seeking Information for School Purposes on the Internet.” Canadian Journal of Learning and Technology 29.1 (Winter 2003): 67-88. 24 May 2007
http://www.cjlt.ca/content/vol29.1/04_gunn_hepburn.html
Abstract
Objective – This study investigated whether the expectations for Internet searching strategies outlined in provincial curriculum goals are being met in Nova Scotia Schools. Twelfth-grade students in representative schools were surveyed as to their Internet information seeking strategies and their perceptions of the effectiveness of those strategies. The results are presented as six themes based on the survey questions.
Design – Survey questionnaire consisting of yes/no, multiple-choice, Likert style, and open-ended responses.
Setting – Twelfth-grade students from four high schools in one district in Nova Scotia. Total participants: 198.
Subjects – Questionnaires were analyzed from 243 general practitioners, practice nurses, and practice managers in four Nottingham primary care trusts as well as practices in the Rotherham Health Authority area.
Methods – Four research questions guided this study:
1. What strategies and techniques do students use that are helpful for information-seeking on the Internet?
2. What knowledge do students have of the different World Wide Web search engines?
3. How do students perceive their ability to locate information for school purposes on the Internet?
4. How do students learn how to seek information on the Internet for school-related assignments?
The survey was developed through a literature review of previous research. Each survey item reflected a theme and one of the four research questions. The survey was field tested in a pilot study with two twelfth-grade students, and two twelfth-grade English classes.
The sample was assembled by asking principals at the four schools to identify two classes in each of their schools that represented mixed academic abilities. Three schools chose English classes, and one school chose math classes participate in the study. All students had agreed to be a part of the study and only students present in class on the day the questionnaire was given were represented. No effort was made to include students who were absent.
Results were tabulated as percentages of responses, and presented in tables related to the themes of the four research questions.
Main results – Throughout the study, students reported very few strategies for effective Internet searching. They cited friends and family members rather than teachers as their main sources for support, and reported self-taught trial and error as the most common method of learning search strategies. Despite their lack of effectiveness, most students considered themselves “good” or “very good” at finding the information they need for school purposes. Most of the students used very few of the strategies associated with effective searching that have been stated in prior research studies.
Research Question One: Use of Strategies and Techniques for Information-Seeking on the Internet
Only 15% of students used Boolean operators regularly.
Over 70% of students did not know how to eliminate commercial sites, use particular features, limit searches to recently updated pages or limit searches to the title section of a Web page.
Research Question Two: Knowledge of World Wide Web Search Engines.
Google was the overwhelming choice, with 66.7% percent of students reporting that they used it regularly. Other search engines were used from 0 to 22%.
Research Question Three:
Students’ Perception of Their Information-Seeking Ability on the Internet
81.3 % of students reported their abilities as good or very good.
Only 5% felt their abilities were poor.
Research Question Four: How Students Learn What They Know About Information-Seeking on the Internet
72.7% reported self-teaching strategies.
39.8% relied on friends or classmates, 36.8 % relied on teachers.
2.5% reported librarians as a source
Of the students who reported self-teaching, 53% used trial and error, 6.6% used help screens and 4% searched for assistance. 80.8% of students who reported teachers as a source for learning information strategies were taught in computer-related classes, rather than in content area classes across the disciplines.
Although only 72% of students reported having Internet access at home, 64% stated that they used the Internet more at home than at school to find information for school-related assignments. 46.3% of students with no Internet access at home rated their perception of searching ability as poor, compared to only 8.3% of students who did have Internet access at home.
Conclusion – The researchers state that actual practice in Nova Scotia schools does not reflect the standard instructional strategy of modeling as recognized by the Nova Scotia Department of Education. They feel that the results of this study show that very little modeling is being done by classroom teachers; that the modeling is instead being done by peers and family at home. This magnifies the disparity in effective skills for those who do not have Internet access at home. They also note that the goal of integrating search strategy instruction across the disciplines is not being reached.
The researchers suggest two ways to offer the needed instruction: compulsory classes in information seeking for all students, or the hiring of teacher-librarians to support instruction in the schools, working collaboratively in all disciplines. Research supporting the presence of teacher-librarians in teaching effective information literacy skills, including Internet searching, is noted.
6
Nikravesh, M., V. Loia, and B. Azvine. "Fuzzy logic and the Internet (FLINT): Internet, World Wide Web, and search engines." Soft Computing - A Fusion of Foundations, Methodologies and Applications 6, no. 5 (August 1, 2002): 287–99. http://dx.doi.org/10.1007/s00500-002-0182-x.
Full text
7
Henderson, J. Fred. "Virtual Reality on the World Wide Web: a Survey of Web Sites." International Journal of Virtual Reality 2, no. 1 (January 1, 1996): 1–20. http://dx.doi.org/10.20870/ijvr.1996.2.1.2606.
Full textAbstract:
The author surveyed the World Wide Web using a number of Internet based search engines and VR resource pages to identify more than 11,300 open text sites dealing with virtual reality. This article identifies several hundred of the best devoted to VRML, VR news groups, VR resources, VR projects, VR software, VR hardware, academic and laboratories involved in VR, associations, publications, companies, and government agencies specializing in VR. The URLs are provided in the printed article. The CD-ROM that accompanies the printed journal also provides direct links to the sites when this article is viewed while simultaneously connected to the World Wide Web.
8
Fujihara, Nobuhiko, and Asako Miura. "Patterns of Searching for Information on the World Wide Web: A Pilot Study." Psychological Reports 92, no. 3_suppl (June 2003): 1091–96. http://dx.doi.org/10.2466/pr0.2003.92.3c.1091.
Full textAbstract:
The influences of task type on search of the World Wide Web using search engines without limitation of search domain were investigated. 9 graduate and undergraduate students studying psychology (1 woman and 8 men, M age = 25.0 yr., SD = 2.1) participated. Their performance to manipulate the search engines on a closed task with only one answer were compared with their performance on an open task with several possible answers. Analysis showed that the number of actions was larger for the closed task ( M = 91) than for the open task ( M = 46.1). Behaviors such as selection of keywords (averages were 7.9% of all actions for the closed task and 16.7% for the open task) and pressing of the browser's back button (averages were 40.3% of all actions for the closed task and 29.6% for the open task) were also different. On the other hand, behaviors such as selection of hyperlinks, pressing of the home button, and number of browsed pages were similar for both tasks. Search behaviors were influenced by task type when the students searched for information without limitation placed on the information sources.
9
Agbele, Kehinde, Ademola Adesina, Daniel Ekong, and Oluwafemi Ayangbekun. "State-of-the-Art Review on Relevance of Genetic Algorithm to Internet Web Search." Applied Computational Intelligence and Soft Computing 2012 (2012): 1–7. http://dx.doi.org/10.1155/2012/152385.
Full textAbstract:
People use search engines to find information they desire with the aim that their information needs will be met. Information retrieval (IR) is a field that is concerned primarily with the searching and retrieving of information in the documents and also searching the search engine, online databases, and Internet. Genetic algorithms (GAs) are robust, efficient, and optimizated methods in a wide area of search problems motivated by Darwin’s principles of natural selection and survival of the fittest. This paper describes information retrieval systems (IRS) components. This paper looks at how GAs can be applied in the field of IR and specifically the relevance of genetic algorithms to internet web search. Finally, from the proposals surveyed it turns out that GA is applied to diverse problem fields of internet web search.
10
Steel, Chad M. S. "Web-Based Child Pornography." International Journal of Digital Crime and Forensics 1, no. 4 (October 2009): 58–69. http://dx.doi.org/10.4018/jdcf.2009062405.
Full textAbstract:
While the supply of child pornography through the World Wide Web has been frequently speculated upon, the demand has not adequately been explored. Quantification and qualification of the demand provides forensic examiners a behavioral basis for determining the sophistication of individual seeking child pornography. Additionally, the research assists an examiner in searching for and presenting the evidence of child pornography browsing. The overall search engine demand for child pornography is bounded as being between .19 and .49%, depending on the inclusion of ambiguous phrases, with the top search for child pornography being “lolita bbs”. Unlike peer-to-peer networks, however, the top child pornography related query ranks only as the 198th most popular query overall. The queries on search engines appear to be decreasing as well, and the techniques employed are becoming less reliant direct links to content.
Dissertations / Theses on the topic "Internet searching. Web search engines. World Wide Web"
1
Selberg, Erik Warren. "Towards comprehensive Web search /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/6873.
Full text
2
Blaauw, Pieter. "Search engine poisoning and its prevalence in modern search engines." Thesis, Rhodes University, 2013. http://hdl.handle.net/10962/d1002037.
Full textAbstract:
The prevalence of Search Engine Poisoning in trending topics and popular search terms on the web within search engines is investigated. Search Engine Poisoning is the act of manipulating search engines in order to display search results from websites infected with malware. Research done between February and August 2012, using both manual and automated techniques, shows us how easily the criminal element manages to insert malicious content into web pages related to popular search terms within search engines. In order to provide the reader with a clear overview and understanding of the motives and the methods of the operators of Search Engine Poisoning campaigns, an in-depth review of automated and semi-automated web exploit kits is done, as well as looking into the motives for running these campaigns. Three high profile case studies are examined, and the various Search Engine Poisoning campaigns associated with these case studies are discussed in detail to the reader. From February to August 2012, data was collected from the top trending topics on Google’s search engine along with the top listed sites related to these topics, and then passed through various automated tools to discover if these results have been infiltrated by the operators of Search Engine Poisoning campaings, and the results of these automated scans are then discussed in detail. During the research period, manual searching for Search Engine Poisoning campaigns was also done, using high profile news events and popular search terms. These results are analysed in detail to determine the methods of attack, the purpose of the attack and the parties behind it
3
Morrison, Patrick Jason. "Tagging and Searching: Search Retrieval Effectiveness of Folksonomies on the Web." [Kent, Ohio] : Kent State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=kent1177305096.
Full textAbstract:
Thesis (M.S.)--Kent State University, 2007.Title from PDF t.p. (viewed July 2, 2007). Advisor: David B. Robins. Keywords: information retrieval, search engine, social bookmarking, tagging, folksonomy, Internet, World Wide Web. Includes survey instrument. Includes bibliographical references (p. 137-141).
4
Pannu, M. "The impact of modes of mediation on the web retrieval process." Thesis, Coventry University, 2011. http://curve.coventry.ac.uk/open/items/1837efea-38df-4453-af05-7e59ef2de353/1.
Full textAbstract:
This research is an integral part of the effort aimed at overcoming the limitations of the classic search engines. This thesis is concerned with the investigation of the impact of different modes of mediation on the web search process. Conceptually, it is divided into three main parts. The first part details the investigation of methods and mechanisms in user profile generation and in filtering search results. The second part deals with the presentation of an approach and its application in the development of a mediation framework between the user and the classic Web Search engines. This involved the integration of the explicit, implicit and hybrid modes of mediation within a content-based method, and was facilitated by the adoption of the Vector Space Model. The third part presents an extensive comparative evaluation of the impact of the different types of mediation systems on web search, in terms of precision, recall and F-measure. The thesis concludes by identifying the contribution of the research programme and the satisfaction of the stated objectives.
5
Hymas, Peter E. "Can You Find Me Now?: Re-examining Search Engines’ Capability to Retrieve Finding Aids on the World Wide Web." Thesis, School of Information and Library Science, 2005. http://hdl.handle.net/1901/212.
Full textAbstract:
Five years have passed since Helen R. Tibbo and Lokman I. Meho conducted their study exploring how well six Web search engines retrieved electronic finding aids based on phrase and word searches of terms taken directly from the finding aids. This study similarly seeks to discover how well current search engines Google, Yahoo! Search, MSN Search, AOL Search, Excite, and Ask Jeeves retrieved finding aids chosen at random from 25 North American primary source repositories. In March 2005, approximately 27% of repositories listed at the “Repositories of Primary Resources” web site had at least four full finding aids online, a substantial increase from 8% in 2000. This study affirmed phrase searches yielding better retrieval results than word searches. Encouragingly, the retrieval rates for phrase and word searches within electronic finding aids were approximately 20% higher than Tibbo and Meho’s findings despite the existence of several billion more World Wide Web pages in 2005.
6
Cowie, Bradley. "An exploratory study of techniques in passive network telescope data analysis." Thesis, Rhodes University, 2013. http://hdl.handle.net/10962/d1002038.
Full textAbstract:
Careful examination of the composition and concentration of malicious traffic in transit on the channels of the Internet provides network administrators with a means of understanding and predicting damaging attacks directed towards their networks. This allows for action to be taken to mitigate the effect that these attacks have on the performance of their networks and the Internet as a whole by readying network defences and providing early warning to Internet users. One approach to malicious traffic monitoring that has garnered some success in recent times, as exhibited by the study of fast spreading Internet worms, involves analysing data obtained from network telescopes. While some research has considered using measures derived from network telescope datasets to study large scale network incidents such as Code-Red, SQLSlammer and Conficker, there is very little documented discussion on the merits and weaknesses of approaches to analyzing network telescope data. This thesis is an introductory study in network telescope analysis and aims to consider the variables associated with the data received by network telescopes and how these variables may be analysed. The core research of this thesis considers both novel and previously explored analysis techniques from the fields of security metrics, baseline analysis, statistical analysis and technical analysis as applied to analysing network telescope datasets. These techniques were evaluated as approaches to recognize unusual behaviour by observing the ability of these techniques to identify notable incidents in network telescope datasets
7
Lewandowski, Dirk. "Web Searching, Search Engines and Information Retrieval." ISO Press, 2005. http://hdl.handle.net/10150/106395.
Full textAbstract:
This article discusses Web search engines; mainly the challenges in indexing the World Wide Web, the user behaviour, and the ranking factors used by these engines. Ranking factors are divided into query-dependent and query-independent factors, the latter of which have become
more and more important within recent years. The possibilities of these factors are limited, mainly of those that are based on the widely used link popularity measures. The article concludes with an overview of factors that should be considered to determine the quality of Web
search engines.
8
Hodkinson, Christopher Stuart. "An exploratory study of World Wide Web consumer external information search behaviour /." [St. Lucia, Qld.], 2001. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16915.pdf.
Full text
9
Che, Kassim Ahmad Rafee. "The effects of domain knowledge and web experience on user search performance in a digital library context /." free to MU campus, to others for purchase, 2003. http://wwwlib.umi.com/cr/mo/fullcit?p3115531.
Full text
10
Limbu, Dilip Kumar. "Contextual information retrieval from the WWW." Click here to access this resource online, 2008. http://hdl.handle.net/10292/450.
Full textAbstract:
Contextual information retrieval (CIR) is a critical technique for today’s search engines in terms of facilitating queries and returning relevant information. Despite its importance, little progress has been made in its application, due to the difficulty of capturing and representing contextual information about users. This thesis details the development and evaluation of the contextual SERL search, designed to tackle some of the challenges associated with CIR from the World Wide Web. The contextual SERL search utilises a rich contextual model that exploits implicit and explicit data to modify queries to more accurately reflect the user’s interests as well as to continually build the user’s contextual profile and a shared contextual knowledge base. These profiles are used to filter results from a standard search engine to improve the relevance of the pages displayed to the user. The contextual SERL search has been tested in an observational study that has captured both qualitative and quantitative data about the ability of the framework to improve the user’s web search experience. A total of 30 subjects, with different levels of search experience, participated in the observational study experiment. The results demonstrate that when the contextual profile and the shared contextual knowledge base are used, the contextual SERL search improves search effectiveness, efficiency and subjective satisfaction. The effectiveness improves as subjects have actually entered fewer queries to reach the target information in comparison to the contemporary search engine. In the case of a particularly complex search task, the efficiency improves as subjects have browsed fewer hits, visited fewer URLs, made fewer clicks and have taken less time to reach the target information when compared to the contemporary search engine. Finally, subjects have expressed a higher degree of satisfaction on the quality of contextual support when using the shared contextual knowledge base in comparison to using their contextual profile. These results suggest that integration of a user’s contextual factors and information seeking behaviours are very important for successful development of the CIR framework. It is believed that this framework and other similar projects will help provide the basis for the next generation of contextual information retrieval from the Web.
Books on the topic "Internet searching. Web search engines. World Wide Web"
1
Hill, Brad. World Wide Web searching for dummies. 2nd ed. Foster City, CA: IDG Books Worldwide, 1997.
Find full text
3
Sudatta, Chowdhury, ed. Information sources and searching on the World Wide Web. London: Library Association Pub., 2001.
Find full text
4
Emily, Glossbrenner, ed. Search engines for the World Wide Web. 3rd ed. Berkeley, CA: Peachpit Press, 2001.
Find full text
5
Emily, Glossbrenner, ed. Search engines for the World Wide Web. 2nd ed. Berkeley, Calif: Peachpit Press, 1999.
Find full text
6
Emily, Glossbrenner, ed. Search engines for the World Wide Web. Berkeley, Calif: Peachpit Press, 1998.
Find full text
9
C, Ackermann Ernest, ed. Searching & researching on the Internet & the World Wide Web. 4th ed. Wilsonville, Or: Franklin, Beedle, 2005.
Find full text
10
Ackermann, Ernest. The information specialist's guide to searching & researching on the Internet & the World Wide Web. 2nd ed. Chicago: Fitzroy Dearborn, 2000.
Find full textBook chapters on the topic "Internet searching. Web search engines. World Wide Web"
1
Jumpala, Viveka Vardhan. "Searching Bioinformatics Information Strategies for Effective Use of Search Engine." In Biomedical Engineering, 742–48. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3158-6.ch033.
Full textAbstract:
The Internet, which is an information super high way, has practically compressed the world into a cyber colony through various networks and other Internets. The development of the Internet and the emergence of the World Wide Web (WWW) as common vehicle for communication and instantaneous access to search engines and databases. Search Engine is designed to facilitate search for information on the WWW. Search Engines are essentially the tools that help in finding required information on the web quickly in an organized manner. Different search engines do the same job in different ways thus giving different results for the same query. Search Strategies are the new trend on the Web.
2
Jumpala, Viveka Vardhan. "Searching Bioinformatics Information Strategies for Effective Use of Search Engine." In Library and Information Services for Bioinformatics Education and Research, 169–76. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1871-6.ch009.
Full textAbstract:
The Internet, which is an information super high way, has practically compressed the world into a cyber colony through various networks and other Internets. The development of the Internet and the emergence of the World Wide Web (WWW) as common vehicle for communication and instantaneous access to search engines and databases. Search Engine is designed to facilitate search for information on the WWW. Search Engines are essentially the tools that help in finding required information on the web quickly in an organized manner. Different search engines do the same job in different ways thus giving different results for the same query. Search Strategies are the new trend on the Web.
3
Ram, Sudha. "Intelligent Agents and the World Wide Web." In Intelligent Support Systems, 1–3. IGI Global, 2002. http://dx.doi.org/10.4018/978-1-931777-00-1.ch001.
Full textAbstract:
We are fortunate to be experiencing an explosive growth and advancement in the Internet and the World Wide Web (WWW). In 1999, the global online population was estimated to be 250 million WWW users worldwide, while the “/images/spacer_white.gif”number of pages on the Web was estimated at 800 million (http://www.internetindicators.com/facts.html). The bright side of this kind of growth is that information is available to almost anyone with access to a computer and a phone line. However, the dark side of this explosion is that we are now squarely in the midst of the “Age of Information Overload”!!! The staggering amount of information has made it extremely difficult for users to locate and retrieve information that is actually relevant to their task at hand. Given the bewildering array of resources being generated and posted on the WWW, the task of finding exactly what a user wants is rather daunting. Although many search engines currently exist to assist in information retrieval, much of the burden of searching is on the end-user. A typical search results in millions of hit, many of which are outdated, irrelevant, or duplicated. One promising approach to managing the information overload problem is to use “intelligent agents” for search and retrieval. This editorial explores the current status of intelligent agents and points out some challenges in the development of intelligent agents based systems.
4
Bedi, Punam, Neha Gupta, and Vinita Jindal. "Dark Web." In Encyclopedia of Criminal Activities and the Deep Web, 152–64. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9715-5.ch010.
Full textAbstract:
The World Wide Web is a part of the Internet that provides data dissemination facility to people. The contents of the Web are crawled and indexed by search engines so that they can be retrieved, ranked, and displayed as a result of users' search queries. These contents that can be easily retrieved using Web browsers and search engines comprise the Surface Web. All information that cannot be crawled by search engines' crawlers falls under Deep Web. Deep Web content never appears in the results displayed by search engines. Though this part of the Web remains hidden, it can be reached using targeted search over normal Web browsers. Unlike Deep Web, there exists a portion of the World Wide Web that cannot be accessed without special software. This is known as the Dark Web. This chapter describes how the Dark Web differs from the Deep Web and elaborates on the commonly used software to enter the Dark Web. It highlights the illegitimate and legitimate sides of the Dark Web and specifies the role played by cryptocurrencies in the expansion of Dark Web's user base.
5
Elangovan, Ramanujam. "The Dark Web." In Encyclopedia of Criminal Activities and the Deep Web, 129–39. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9715-5.ch008.
Full textAbstract:
The deep web (also called deepnet, the invisible web, dark web, or the hidden web) refers to world wide web content that is not part of the surface web, which is indexed by standard search engines. The more familiar “surface” web contains only a small fraction of the information available on the internet. The deep web contains much of the valuable data on the web, but is largely invisible to standard web crawling techniques. Besides it being the huge source of information, it also provides the rostrum for cybercrime like by providing download links for movies, music, games, etc. without having their copyrights. This article aims to provide context and policy recommendations pertaining to the dark web. The dark web's complete history, from its creation to the latest incidents and the way to access and their sub forums are briefly discussed with respective to the user perspective.
6
Vivekavardhan, J. "Search Engines and Meta Search Engines for Effective Information Retrieval and Scholarly Communication." In Information Retrieval and Management, 1994–2008. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5191-1.ch089.
Full textAbstract:
Search Engines (SEs) and Meta-Search Engines (MSEs) are the tools that allows people to find information on the World Wide Web. SEs and MSEs on internet have improved continually with application of new methodologies to satisfy their users by providing them with relevant information. Understanding and Utilization of SEs and MSEs are useful for information scientist, knowledge manager, librarians and most importantly for authors and researchers for effective information retrieval and scholarly communication. The paper explores on how Search Engines and Meta-Search Engines discover web pages, indexes content, and provide search results. The paper discusses about the technological evolution of SEs and MSEs, working process and different types of SEs and MSEs. Finally paper presents conclusions and suggestions for further research.
7
Vivekavardhan, J. "Search Engines and Meta Search Engines for Effective Information Retrieval and Scholarly Communication." In Scholarly Communication and the Publish or Perish Pressures of Academia, 312–29. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1697-2.ch014.
Full textAbstract:
Search Engines (SEs) and Meta-Search Engines (MSEs) are the tools that allows people to find information on the World Wide Web. SEs and MSEs on internet have improved continually with application of new methodologies to satisfy their users by providing them with relevant information. Understanding and Utilization of SEs and MSEs are useful for information scientist, knowledge manager, librarians and most importantly for authors and researchers for effective information retrieval and scholarly communication. The paper explores on how Search Engines and Meta-Search Engines discover web pages, indexes content, and provide search results. The paper discusses about the technological evolution of SEs and MSEs, working process and different types of SEs and MSEs. Finally paper presents conclusions and suggestions for further research.
8
Biswas, Amitava, Suneil Mohan, and Rabi Mahapatra. "Semantic Technologies for Distributed Search P2P Networks." In Handbook of Research on P2P and Grid Systems for Service-Oriented Computing, 88–122. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-686-5.ch005.
Full textAbstract:
Searching is likely to be the next most important service on the Internet after communication. At present centralized Internet search engines can not search a large part of the Internet content, especially those which are behind local search engines. This situation has created disjointed islands of information. P2P networking paradigm has the potential to integrate these under a single unified internet wide search service. However this search infrastructure will have to allow users to perform meaning based search. Therefore the P2P system will need technologies to capture the meaning of what the users intend to search for and then identify relevant objects. This matching between user’s search intention and objects will go beyond simple keyword based comparison. In this chapter the authors present the required techniques to enable a Web architecture that satisfy these needs.
9
Giomelakis, Dimitrios, and Andreas A. Veglis. "Search Engine Optimization." In Encyclopedia of Information Science and Technology, Fourth Edition, 8046–55. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2255-3.ch700.
Full textAbstract:
In this article, we will discuss at length the subject of Search Engine Optimization (SEO), its different characteristics and why basic SEO knowledge is considered as a useful tool for any web business. The article will address both the theoretical and practical issues related to the design and implementation of SEO and also will cover previous research done on this topic. In order to give a better understanding of the importance of SEO in the current state of the Internet and in information search, basic knowledge of how search engines operate along with their recent updates will also be provided. The development of World Wide Web (Web 2.0) along with the growth of search engines over the last decade has brought significant changes in web content. In this context, we will see how SEO has evolved over the years since mid 90's when it first emerged. Nowadays, social media and social signals have increasingly become one of the many factors search engines take seriously into account, which is another issue that this article will address.
10
Giomelakis, Dimitrios, and Andreas A. Veglis. "Search Engine Optimization." In Advances in Computer and Electrical Engineering, 1789–800. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7598-6.ch132.
Full textAbstract:
In this chapter, the authors discuss at length the subject of search engine optimization (SEO), its different characteristics, and why basic SEO knowledge is considered as a useful tool for any web business. The chapter will address both the theoretical and practical issues related to the design and implementation of SEO and also will cover previous research done on this topic. In order to give a better understanding of the importance of SEO in the current state of the internet and in information search, basic knowledge of how search engines operate along with their recent updates will also be provided. The development of World Wide Web (Web 2.0) along with the growth of search engines over the last decade has brought significant changes in web content. In this context, the authors show how SEO has evolved over the years. Nowadays, social media and social signals have increasingly become one of the many factors search engines take seriously into account, which is another issue that this chapter will address.
Conference papers on the topic "Internet searching. Web search engines. World Wide Web"
1
Huang, G. Q., B. Shen, and K. L. Mak. "www.wapip.com: A Special-Purpose Search Engine for Web Applications in Product Introduction Process." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/dac-14517.
Full textAbstract:
Abstract There have been widespread interests in the development and application of World Wide Web (WWW) to support decision-making activities in product design and manufacture. An increasing number of web applications are emerging and a large number of practitioners are keen on trying these web-based decision support systems. In the meanwhile, it becomes increasingly difficult to surf for appropriate web applications on the Internet with general-purpose search engines. This paper describes a web site, WAPIP, that has been developed specifically to support new product introduction activities. It provides databases for software vendors and researchers to register their web applications with the “wapip” search engine. It also provides facilities to support practitioners in product design and manufacture to search rapidly for the right web applications suitable for solving their problems. This paper discusses the various issues regarding the design, development and operation of this “wapip” search engine.
2
Cao, Qing, Nicola Senin, and David R. Wallace. "Functional Classification of Computational Services in an Internet-Based Distributed Modeling Environment." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85276.
Full textAbstract:
New emerging modeling and simulation environments have the potential to provide easy access to design models and simulations over the Internet, much as the World Wide Web (WWW) has provided easy access to information. Parametric simulation models accessible through such Internet-based environments can be seen as providers of computational services. As Internet-based computational services become more common, an effective mechanism for identifying functionally appropriate computational services will be necessary to support distributed simulation-based design. There are ongoing efforts to develop ontological descriptions of computational services, with the goal of explicitly defining the functional or semantic role of a computational service. However, much in the way web search engines operate, the goal of this work is to use patterns found within the syntactic information in interfaces for computational model services to identify functional roles. Typical, pre-existing syntactic information expected to be available—such as model and parameters names, parameter units, and input/output structure—are identified. Given a model with a known functional role, a Fuzzy Attributed Relational Graph representation of its syntactic interface information is used as a pattern or template for this known role. Then, using a graph-matching algorithm based on attribute similarity metrics, the interface information from other models can be classified against the functional template. New information from functionally equivalent model interfaces that have been found can be incorporated into the original template, thereby both generalizing the pattern for the functional role and strengthening the most critical aspects of the pattern. Test results for a prototype implementation of the proposed algorithm are provided.