Search (274 results, page 1 of 14)

  • × theme_ss:"Suchmaschinen"
  1. Powell, J.; Fox, E.A.: Multilingual federated searching across heterogeneous collections (1998) 0.09
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    Abstract
    This article describes a scalable system for searching heterogeneous multilingual collections on the World Wide Web. It details a markup language for describing the characteristics of a search engine and its interface, and a protocol for requesting word translations between languages.
  2. What is Schema.org? (2011) 0.07
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    Abstract
    This site provides a collection of schemas, i.e., html tags, that webmasters can use to markup their pages in ways recognized by major search providers. Search engines including Bing, Google and Yahoo! rely on this markup to improve the display of search results, making it easier for people to find the right web pages. Many sites are generated from structured data, which is often stored in databases. When this data is formatted into HTML, it becomes very difficult to recover the original structured data. Many applications, especially search engines, can benefit greatly from direct access to this structured data. On-page markup enables search engines to understand the information on web pages and provide richer search results in order to make it easier for users to find relevant information on the web. Markup can also enable new tools and applications that make use of the structure. A shared markup vocabulary makes easier for webmasters to decide on a markup schema and get the maximum benefit for their efforts. So, in the spirit of sitemaps.org, Bing, Google and Yahoo! have come together to provide a shared collection of schemas that webmasters can use.
  3. Li, Z.: ¬A domain specific search engine with explicit document relations (2013) 0.06
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    Abstract
    The current web consists of documents that are highly heterogeneous and hard for machines to understand. The Semantic Web is a progressive movement of the Word Wide Web, aiming at converting the current web of unstructured documents to the web of data. In the Semantic Web, web documents are annotated with metadata using standardized ontology language. These annotated documents are directly processable by machines and it highly improves their usability and usefulness. In Ericsson, similar problems occur. There are massive documents being created with well-defined structures. Though these documents are about domain specific knowledge and can have rich relations, they are currently managed by a traditional search engine, which ignores the rich domain specific information and presents few data to users. Motivated by the Semantic Web, we aim to find standard ways to process these documents, extract rich domain specific information and annotate these data to documents with formal markup languages. We propose this project to develop a domain specific search engine for processing different documents and building explicit relations for them. This research project consists of the three main focuses: examining different domain specific documents and finding ways to extract their metadata; integrating a text search engine with an ontology server; exploring novel ways to build relations for documents. We implement this system and demonstrate its functions. As a prototype, the system provides required features and will be extended in the future.
  4. Sauer, D.: Alles schneller finden (2001) 0.02
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    Date
    1. 8.1997 14:03:29
    11.11.2001 17:25:22
    Source
    Com!online. 2001, H.12, S.24-29
  5. Loeper, D. von: Sherlock Holmes im Netz (1997) 0.02
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    Date
    22. 2.1997 19:50:29
  6. Notess, G.R.: Toward more comprehensive Web searching : single searching versus megasearching (1998) 0.02
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    Abstract
    In spite of their size, the major Web indexes are not comprehensive. Considers approaches carrying out comprehensive searches, highlighting their advantages and disadvantages. In the single search tool approach, users search the largest of the databses one by one, using the command language uniqe to each to increase the precision of the esearch. In the megasearch approach, search engines use 1 form that simultaneously seands a single query to a number of search engines and then presents the results. Inference Find, Dogpile and MetaFind are examples of good metasearch engines
    Source
    Online. 22(1998) no.2, S.73-76
  7. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.02
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    Content
    Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
  8. Fluhr, C.: Crosslingual access to photo databases (2012) 0.02
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    Abstract
    This paper is about search of photos in photo databases of agencies which sell photos over the Internet. The problem is far from the behavior of photo databases managed by librarians and also far from the corpora generally used for research purposes. The descriptions use mainly single words and it is well known that it is not the best way to have a good search. This increases the problem of semantic ambiguity. This problem of semantic ambiguity is crucial for cross-language querying. On the other hand, users are not aware of documentation techniques and use generally very simple queries but want to get precise answers. This paper gives the experience gained in a 3 year use (2006-2008) of a cross-language access to several of the main international commercial photo databases. The languages used were French, English, and German.
    Date
    17. 4.2012 14:25:22
  9. Lewandowski, D.: Alles nur noch Google? : Entwicklungen im Bereich der WWW-Suchmaschinen (2002) 0.02
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    Date
    29. 9.2002 18:49:22
  10. Becker, F.: Internet-Suchmaschinen : Funktionsweise und Beurteilung (1999) 0.02
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    Date
    23.10.1996 17:26:29
    22. 3.2008 14:04:11
  11. Gourbin, G.: ¬Une nouvelle profession : cyber-documentaliste l'exemple de Nomade (1998) 0.01
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    Abstract
    Users who want to exploit all the information sources on the Web will need an efficient search and selection tool e.g. a directory or search engine. Directories list Web sites and analyze their contents. Describes the behind-the-scenes work of documentalists specialized in surfing, tracking and indexing French language sites for the directory Nomade. Describes the creation of Nomade, its functioning and indexing, and how this new profession of 'cyber-documentalist' is changing the practices and functions of information professionals as they become Internet information organizers
    Date
    1. 8.1996 22:01:00
  12. Marchiori, M.: ¬The quest for correct information on the Web : hyper search engines (1997) 0.01
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    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1225-1235
  13. Chang, C.-H.; Hsu, C.-C.: Customizable multi-engine search tool with clustering (1997) 0.01
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    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1217-1224
  14. Hancock, B.: Subject-specific search engines : using the Harvest system to gather and maintain information on the Internet (1998) 0.01
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    Date
    6. 3.1997 16:22:15
    5. 3.1999 19:29:26
  15. Vaughan, L.; Thelwall, M.: Search engine coverage bias : evidence and possible causes (2004) 0.01
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    Abstract
    Commercial search engines are now playing an increasingly important role in Web information dissemination and access. Of particular interest to business and national governments is whether the big engines have coverage biased towards the US or other countries. In our study we tested for national biases in three major search engines and found significant differences in their coverage of commercial Web sites. The US sites were much better covered than the others in the study: sites from China, Taiwan and Singapore. We then examined the possible technical causes of the differences and found that the language of a site does not affect its coverage by search engines. However, the visibility of a site, measured by the number of links to it, affects its chance to be covered by search engines. We conclude that the coverage bias does exist but this is due not to deliberate choices of the search engines but occurs as a natural result of cumulative advantage effects of US sites on the Web. Nevertheless, the bias remains a cause for international concern.
    Date
    14. 8.2004 10:30:29
  16. Carrière, S.J.; Kazman, R.: Webquery : searching and visualising the Web through connectivity (1997) 0.01
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    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1257-1267
  17. Mukherjea, S.; Hirata, K.; Hara, Y.: Towards a multimedia World-Wide Web information retrieval engine (1997) 0.01
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    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1181-1191
  18. Vaughan, L.; Chen, Y.: Data mining from web search queries : a comparison of Google trends and Baidu index (2015) 0.01
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    Abstract
    Numerous studies have explored the possibility of uncovering information from web search queries but few have examined the factors that affect web query data sources. We conducted a study that investigated this issue by comparing Google Trends and Baidu Index. Data from these two services are based on queries entered by users into Google and Baidu, two of the largest search engines in the world. We first compared the features and functions of the two services based on documents and extensive testing. We then carried out an empirical study that collected query volume data from the two sources. We found that data from both sources could be used to predict the quality of Chinese universities and companies. Despite the differences between the two services in terms of technology, such as differing methods of language processing, the search volume data from the two were highly correlated and combining the two data sources did not improve the predictive power of the data. However, there was a major difference between the two in terms of data availability. Baidu Index was able to provide more search volume data than Google Trends did. Our analysis showed that the disadvantage of Google Trends in this regard was due to Google's smaller user base in China. The implication of this finding goes beyond China. Google's user bases in many countries are smaller than that in China, so the search volume data related to those countries could result in the same issue as that related to China.
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.1, S.13-22
  19. Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996) 0.01
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    Date
    7. 2.1996 22:38:41
    Pages
    22 S
  20. Höfer, W.: Detektive im Web (1999) 0.01
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    Date
    22. 8.1999 20:22:06

Years

Languages

  • e 138
  • d 132
  • f 2
  • nl 1
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Types

  • a 248
  • el 16
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  • x 4
  • p 2
  • r 1
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