Search (752 results, page 1 of 38)

  • × theme_ss:"Internet"
  1. Hsieh-Yee, I.: ¬The retrieval power of selected search engines : how well do they address general reference questions and subject questions? (1998) 0.24
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    Abstract
    Evaluates the performance of 8 major Internet search engines in answering 21 real reference questions and 5 made up subject questions. Reports on the retrieval and relevancy ranking abilities of the search engines. Concludes that the search engines did not produce good results for the reference questions unlike for the subject questions. The best engines are identified by type of questions, with Infoseek best for the subject questions, and OpenText best for refrence questions
    Date
    25.12.1998 19:22:51
  2. Notess, G.R.: DejaNews and other Usenet search tools (1998) 0.21
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    Abstract
    Internet Newsgroup archives on services such as DejaNews offer important sources of information that may not be found elsewhere online. Describes the content of the DejaNews Database which goes back to 1995 and covers more than 14,000 newsgroups. There are 2 search options: quick search and power search. Most Web search engines offer links to DejaNews, but AltaVista offers a smaller alternative and supplement to DejaNews. Reference.COM also offers a searchable archive, as well as a useful current awareness service which allows setting up multiple searches under the user profile tab
    Source
    Online. 22(1998) no.4, S.22-28
  3. Hahn, T.B.: Text retrieval online : historical persepctive on Web search engines (1998) 0.15
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  4. Van der Walt, M.: South African search engines, directories and portals : a survey and evaluation (2000) 0.14
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    Abstract
    The purpose of this paper is to identify, describe, evaluate and compare South African search engines, directories and portals. The comparative evaluation entailed analysis of six search engines by means of a checklist of desirable features, as well as a performance test by means of sample searches. The following aspects and features are covered in the checklist: database characteristics, search facilities and techniques, search results and portal services. In the performance test the local search engines were also compared with three international ones. Aardvark was rated the best local search engine judging by its performance in the sample searches, but it was outperformed by two of the international engines, Alta Vista and FAST, with regard to the total number of relevant hits retrieved. The results of the investigation will be of use to searchers in their selection of appropriate search tools and to search engine developers in the process of improving their systems
  5. Drabenstott, K.M.: Web search strategies (2000) 0.14
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    Abstract
    Surfing the World Wide Web used to be cool, dude, real cool. But things have gotten hot - so hot that finding something useful an the Web is no longer cool. It is suffocating Web searchers in the smoke and debris of mountain-sized lists of hits, decisions about which search engines they should use, whether they will get lost in the dizzying maze of a subject directory, use the right syntax for the search engine at hand, enter keywords that are likely to retrieve hits an the topics they have in mind, or enlist a browser that has sufficient functionality to display the most promising hits. When it comes to Web searching, in a few short years we have gone from the cool image of surfing the Web into the frying pan of searching the Web. We can turn down the heat by rethinking what Web searchers are doing and introduce some order into the chaos. Web search strategies that are tool-based-oriented to specific Web searching tools such as search en gines, subject directories, and meta search engines-have been widely promoted, and these strategies are just not working. It is time to dissect what Web searching tools expect from searchers and adjust our search strategies to these new tools. This discussion offers Web searchers help in the form of search strategies that are based an strategies that librarians have been using for a long time to search commercial information retrieval systems like Dialog, NEXIS, Wilsonline, FirstSearch, and Data-Star.
    Content
    "Web searching is different from searching commercial IR systems. We can learn from search strategies recommended for searching IR systems, but most won't be effective for Web searching. Web searchers need strate gies that let search engines do the job they were designed to do. This article presents six new Web searching strategies that do just that."
    Date
    22. 9.1997 19:16:05
  6. Garnsey, M.R.: What distance learners should know about information retrieval on the World Wide Web (2002) 0.12
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    Abstract
    The Internet can be a valuable tool allowing distance learners to access information not available locally. Search engines are the most common means of locating relevant information an the Internet, but to use them efficiently students should be taught the basics of searching and how to evaluate the results. This article briefly reviews how Search engines work, studies comparing Search engines, and criteria useful in evaluating the quality of returned Web pages. Research indicates there are statistical differences in the precision of Search engines, with AltaVista ranking high in several studies. When evaluating the quality of Web pages, standard criteria used in evaluating print resources is appropriate, as well as additional criteria which relate to the Web site itself. Giving distance learners training in how to use Search engines and how to evaluate the results will allow them to access relevant information efficiently while ensuring that it is of adequate quality.
  7. Kim, K.-S.; Allen, B.: Cognitive and task influences on Web searching behavior (2002) 0.12
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    Abstract
    Users' individual differences and tasks are important factors that influence the use of information systems. Two independent investigations were conducted to study the impact of differences in users' cognition and search tasks on Web search activities and outcomes. Strong task effects were found on search activities and outcomes, whereas interactions between cognitive and task variables were found on search activities only. These results imply that the flexibility of the Web and Web search engines allows different users to complete different search tasks successfully. However, the search techniques used and the efficiency of the searches appear to depend on how well the individual searcher fits with the specific task
  8. Segev, E.: Google and the digital divide : the bias of online knowledge (2010) 0.11
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    Abstract
    Aimed at information and communication professionals, scholars and students, Google and the Digital Divide: The Biases of Online Knowledge provides invaluable insight into the significant role that search engines play in growing the digital divide between individuals, organizations, and states. With a specific focus on Google, author Elad Segev explains the concept of the digital divide and the effects that today's online environment has on knowledge bias, power, and control. Using innovative methods and research approaches, Segev compares the popular search queries in Google and Yahoo in the United States and other countries and analyzes the various biases in Google News and Google Earth. Google and the Digital Divide shows the many ways in which users manipulate Google's information across different countries, as well as dataset and classification systems, economic and political value indexes, specific search indexes, locality of use indexes, and much more. Segev presents important new social and political perspectives to illustrate the challenges brought about by search engines, and explains the resultant political, communicative, commercial, and international implications.
    Content
    Inhalt: Power, communication and the internet -- The structure and power of search engines -- Google and the politics of online searching -- Users and uses of Google's information -- Mass media channels and the world of Google News -- Google's global mapping
    LCSH
    Search engines
    Subject
    Search engines
  9. Butler, D.: Souped-up search engines (2000) 0.11
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    Abstract
    For scientists, finding the information they want on the WWW is a hit-and-miss affair. But, as Declan Butler reports, more sophisticated and specialized search technlogies are promising to change all that
  10. Chau, M.; Fang, X.; Rittman, C.C.: Web searching in Chinese : a study of a search engine in Hong Kong (2007) 0.11
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    Abstract
    The number of non-English resources has been increasing rapidly on the Web. Although many studies have been conducted on the query logs in search engines that are primarily English-based (e.g., Excite and AltaVista), only a few of them have studied the information-seeking behavior on the Web in non-English languages. In this article, we report the analysis of the search-query logs of a search engine that focused on Chinese. Three months of search-query logs of Timway, a search engine based in Hong Kong, were collected and analyzed. Metrics on sessions, queries, search topics, and character usage are reported. N-gram analysis also has been applied to perform character-based analysis. Our analysis suggests that some characteristics identified in the search log, such as search topics and the mean number of queries per sessions, are similar to those in English search engines; however, other characteristics, such as the use of operators in query formulation, are significantly different. The analysis also shows that only a very small number of unique Chinese characters are used in search queries. We believe the findings from this study have provided some insights into further research in non-English Web searching.
  11. Lucas, W.; Topi, H.: Form and function : the impact of query term and operator usage on Web search results (2002) 0.10
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    Abstract
    Conventional wisdom holds that queries to information retrieval systems will yield more relevant results if they contain multiple topic-related terms and use Boolean and phrase operators to enhance interpretation. Although studies have shown that the users of Web-based search engines typically enter short, term-based queries and rarely use search operators, little information exists concerning the effects of term and operator usage on the relevancy of search results. In this study, search engine users formulated queries on eight search topics. Each query was submitted to the user-specified search engine, and relevancy ratings for the retrieved pages were assigned. Expert-formulated queries were also submitted and provided a basis for comparing relevancy ratings across search engines. Data analysis based on our research model of the term and operator factors affecting relevancy was then conducted. The results show that the difference in the number of terms between expert and nonexpert searches, the percentage of matching terms between those searches, and the erroneous use of nonsupported operators in nonexpert searches explain most of the variation in the relevancy of search results. These findings highlight the need for designing search engine interfaces that provide greater support in the areas of term selection and operator usage
  12. Andricik, M.: Metasearch engine for Austrian research information (2002) 0.10
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    Abstract
    Majority of Austrian research relevant information available an the Web these days can be indexed by web full-text search engines. But there are still several sources of valuable information, which cannot be indexed directly. One of effective ways of getting this information to end-users is using metasearch technique. For better understanding it is important to say that metasearch engine does not use its own index. It collects search results provided by other search engines, and builds a common hit list for end users. Our prototype provides access to five sources of research relevant information available an the Austrian web.
  13. Bizer, C.; Mendes, P.N.; Jentzsch, A.: Topology of the Web of Data (2012) 0.10
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    Abstract
    The degree of structure of Web content is the determining factor for the types of functionality that search engines can provide. The more well structured the Web content is, the easier it is for search engines to understand Web content and provide advanced functionality, such as faceted filtering or the aggregation of content from multiple Web sites, based on this understanding. Today, most Web sites are generated from structured data that is stored in relational databases. Thus, it does not require too much extra effort for Web sites to publish this structured data directly on the Web in addition to HTML pages, and thus help search engines to understand Web content and provide improved functionality. An early approach to realize this idea and help search engines to understand Web content is Microformats, a technique for markingup structured data about specific types on entities-such as tags, blog posts, people, or reviews-within HTML pages. As Microformats are focused on a few entity types, the World Wide Web Consortium (W3C) started in 2004 to standardize RDFa as an alternative, more generic language for embedding any type of data into HTML pages. Today, major search engines such as Google, Yahoo, and Bing extract Microformat and RDFa data describing products, reviews, persons, events, and recipes from Web pages and use the extracted data to improve the user's search experience. The search engines have started to aggregate structured data from different Web sites and augment their search results with these aggregated information units in the form of rich snippets which combine, for instance, data This chapter gives an overview of the topology of the Web of Data that has been created by publishing data on the Web using the microformats RDFa, Microdata and Linked Data publishing techniques.
    Source
    Semantic search over the Web. Eds.: R. De Virgilio, et al
  14. Sherman, C.; Price, G.: ¬The invisible Web : uncovering sources search engines can't see (2004) 0.10
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    Abstract
    The paradox of the Invisible Web is that it's easy to understand why it exists, but it's very hard to actually define in concrete, specific terms. In a nutshell, the Invisible Web consists of content that's been excluded from general-purpose search engines and Web directories such as Lycos and LookSmart-and yes, even Google. There's nothing inherently "invisible" about this content. But since this content is not easily located with the information-seeking tools used by most Web users, it's effectively invisible because it's so difficult to find unless you know exactly where to look. In this paper, we define the Invisible Web and delve into the reasons search engines can't "see" its content. We also discuss the four different "types" of invisibility, ranging from the "opaque" Web which is relatively accessible to the searcher, to the truly invisible Web, which requires specialized finding aids to access effectively.
  15. Brahmi, F.: Finding medical informatics sites online (1998) 0.09
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    Abstract
    Reports results of searching the WWW for the term 'medican informatics' on 6 Web search engines and briefly reviews a number of selected Web site focusing on medical informatics auch as http://www.cpmc.columbia.edu/edu/textbook/ and http://www.hslib.washington.edu/informatics
  16. Lederer, N.: Internet librarian '97 (1998) 0.09
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    Abstract
    Reports the first Internet Librarian forum sponsored by Information Today in cooperation with the Special Libraries Association in Montery, CA, 17-19 Nov 1997, focusing on the following sessions: Librarians talk to search engines; filtering tools; from pull to push; making your WWW site accessible
  17. Ensor, P.: Organizing the Web : a contradiction in terms? (1995) 0.09
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    Abstract
    The WWW is a rich source of information, but is disorganised. Automatic search engines are imperfect, but probably adequate for most searches which only require a result, not comprehensiveness. Librarians can use their information organizing skills to create home pages
  18. Makulowich, J.S.: 1997; what's ahead? (1997) 0.09
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    Abstract
    Considers trends on the WWW for 1997. Covers: technology and software developments, growth in training, industry changes, growth in distance education, evolution of search engines, turnkey pages and central site quality control, and further publishing about the Internet
  19. Thomsen, E.B.: ¬The World Wide Web of art (1998) 0.09
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    Abstract
    The WWW is bringing a vast array of art resources to libraries worldwide providing access to copious information and images. Describes art gallery, art museum and other art sites on the Web, and draws attention to general search engines and directory sites
  20. Scull, C.; Milewski, A.; Millen, D.: Envisioning the Web : user expectations about the cyber-experience (1999) 0.09
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    Abstract
    An exploratory research project was undertaken to understand how novice college students and Web savvy librarians initially envisioned the Internet and how these representations changed over time and with experience. Users' representation of the Internet typically contained few meaningful reference points excepting "landmarks" such as search sites and frequently visited sites. For many of the users, the representation was largely procedural, and therefore organized primarily by time. All novice users conceptualized search engines as literally searching the entire Internet when a query was issued. Web savvy librarians understood the limitations of search engines better, but did still expect search engines to follow familiar organizational schemes and to indicate their cataloguing system. Although all users initially approached the Internet with high expectations of information credibility, expert users learned early on that "anyone can publish." In response to the lack of clear credibility conventions, librarians applied the same criteria they used with traditional sources. However, novice users retained high credibility expectations because their exposure was limited to the subscription-based services within their college library. And finally, during an assigned search task new users expected "step by step" instructions and self-evident cues to interaction. They were also overwhelmed and confused by the amount of information "help" displayed and became impatient when a context appropriate solution to their problem was not immediately offered

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