-
Internet search tool details (1996)
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- Abstract
- Summaries of the popular engines extrated from the search sites. Summaries are from: AltaVista, Excite, HotBot, InfoSeek, Ultra, Lycos, OpenText Web Index, and Yahoo. Information covered includes Contents, Searching tips, Results, and Update frequency
-
Machovec, G.S.: World Wide Web search engines : Open Text, Harvest, 2ASK (1996)
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- Abstract
- 2nd in a series of articles examining selected WWW searching engines. Reviews LiveLink Intranet and Open Text Index from Open Text Corporation, Harvest Broker from the Internet Research Task Force Research Group on Resource Discovery at the University of Colorado, Boulder, USA, and 2ASK from AtlasNet, Inc.
-
Brandt, D.S.: What flavor is your Internet search engine? (1997)
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- Abstract
- Reviews Internet based non proprietary search engines which index and retrieve information stored on the Internet. Discusses the different types of search engines available and the relationships between them: general purpose, limited areas, individual WWW pages and Internet resources, and meta search engines. Gives examples of each
-
Falk, H.: Document file searching (1998)
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- Abstract
- Considers the importance of generating indexes when creating large document files, to facilitate searching, and evaluates 4 commercial document file index creation and searching software packages: QuickFind; Sonar; ZyIndex; and FastFind
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Blake, P.: Searching out and assessing Web sites (1996)
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- Abstract
- Describes 4 search engines for the Internet: infoMarket Search; Yahoo and OpenText; Lycos Spider; and WebCompass. InfoMarket Search retrieves data from Web pages and information providers such as Disclosure, Information Access Company and Cambridge Scientific Abstracts. It is able to search millions of Web pages in under five seconds. Automated 'crawlers' index the complete text of Web documents. Yahoo enables users to search for specific words and phrases and conduct multilevel Boolean and weighted searches. Lycos spider offers support for HotJava and indexes 91% of the Web. WebCompass polls multiple search engines such as Lycos and InfoSeek for relevant Web pages. A personalized index of topics may be built and retrieved data stored in a format based on Microsoft Access 2.0
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Vidmar, D.J.: Darwin on the Web : the evolution of search tools (1999)
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- Source
- Computers in libraries. 19(1999) no.5, S.22-28
-
ap: Suchmaschinen in neuem Gewand : Metaspinner kennt 600 Millionen Seiten (1999)
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- Date
- 3. 5.1997 8:44:22
-
Dunning, A.: Do we still need search engines? (1999)
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- Source
- Ariadne. 1999, no.22
-
Collier, H.: Cool, cool searching (1996)
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- Abstract
- Briefly reviews the Architext search software for searching the WWW, noting the probabilistic retrieval facility and other features, including: concept based searching, query by example; automatic subject grouping; automatic abstracting; automatic hypertext linking; and the neural net based public relation tool, MarketText, claimed to be 53% better than humans at generating meaningful marketing language. The search engine can operate in stream mode (filtering and routing documents based on content), and also features incremental indexing so that documents can be added to existing indexes in seconds obviating the need to recreate the index or inverted file
-
Koehler, W.C.: Internet search note : specialized retrieval and Web search engines (1997)
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- Abstract
- Tested 3 WWW search engines (HotBot Expert, AltaVista Advanced and Open Text Power) with a search strategy that required extensive searching using URL fragments, specifically top-level and second-level domain name tags. Tests to see which provided the greatest coverage of the target population, and which had the comprehensive index for the area under study. Concludes that HotBot Expert URL fragment searching is superior to the others when searching descriptive geographic 2nd level domains
-
Notess, G.R.: Measuring the size of Internet databases (1997)
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- Abstract
- Compares WWW search engines to each other in terms of database size and overlap between the largest of them. Compares: AltaVista, Excite, HotBot, Infoseek, Lycos, Magellan, the Open Text index and WebCrawler. HotBot consistently finds more pages than any of the others. Considers how availability of hits, duplication and overlap affects evaluation of database size
-
Auf der Suche nach Suchmaschinen (1996)
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- Source
- Cogito. 12(1996) H.5, S.19-22
-
Birmingham, J.: Internet search engines (1996)
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- Date
- 10.11.1996 16:36:22
-
Bager, J.: Weniger ist mehr : Internet-Suchmaschinen richtig einsetzen (1998)
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- Date
- 29.12.1998 11:22:00
-
Lob, S.: Per Mausklick auf die neusten Nachrichten : Internet-Suchmaschinen liefern Presse-Überblicke und stellen persönliche Zeitungen zusammen (1998)
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- Date
- 29.12.1998 11:22:25
-
Hannemann, M.: Online ins Schlaraffenland der Wissenschaft : Literatur-Recherche im Internet ist ein teures Unterfangen ohne Erfolgsgarantie - Doch wer systematisch sucht, gelangt zügig ans Ziel (1999)
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- Date
- 3. 5.1997 8:44:22
-
Hock, R.E.: How to do field searching in Web search engines : a field trip (1998)
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- Source
- Online. 22(1998) no.3, S.18-22
-
Brin, S.; Page, L.: ¬The anatomy of a large-scale hypertextual Web search engine (1998)
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- Abstract
- In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems. The prototype with a full text and hyperlink database of at least 24 million pages is available at http://google.stanford.edu/. To engineer a search engine is a challenging task. Search engines index tens to hundreds of millions of web pages involving a comparable number of distinct terms. They answer tens of millions of queries every day. Despite the importance of large-scale search engines on the web, very little academic research has been done on them. Furthermore, due to rapid advance in technology and web proliferation, creating a web search engine today is very different from three years ago. This paper provides an in-depth description of our large-scale web search engine -- the first such detailed public description we know of to date. Apart from the problems of scaling traditional search techniques to data of this magnitude, there are new technical challenges involved with using the additional information present in hypertext to produce better search results. This paper addresses this question of how to build a practical large-scale system which can exploit the additional information present in hypertext. Also we look at the problem of how to effectively deal with uncontrolled hypertext collections where anyone can publish anything they want
-
Carnevali, M.: Lost in Cyberspace? : Informationssuche mit Search Engines im World Wide Web (1996)
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- Object
- Commercial Sites Index
-
Cunningham, J.: Getting the most from Alta Vista (1996)
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- Abstract
- The number of search engines on the WWW is continuing to grow. Despite their nearly-identical appearance each has its own qualities. AltaVista indexes over 30 million web pages and processes over 16 million search requests per day. It is one of the most heavily used search engines on the Web. The indexing is entirely automatic. This is achieved through free text; no controlled vocabulary is involved. discusses simple and advanced search modes; wildcards and truncation; Boolean searching and screening; case sensitivity; and the diffculties of indexing transitory postings. AltaVista does not index sites designated as closed to search robots
