-
Dunning, A.: Do we still need search engines? (1999)
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- Source
- Ariadne. 1999, no.22
- Type
- a
-
Birmingham, J.: Internet search engines (1996)
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- Abstract
- Basically a good listing in table format of features from the major search engines
- Date
- 10.11.1996 16:36:22
-
Place, E.: Internationale Zusammenarbeit bei Internet Subject Gateways (1999)
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- Date
- 22. 6.2002 19:35:09
-
Page, A.: ¬The search is over : the search-engines secrets of the pros (1996)
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- Abstract
- Covers 8 of the most popular search engines. Gives a summary of each and has a nice table of features that also briefly lists the pros and cons. Includes a short explanation of Boolean operators too
- Type
- a
-
Powell, J.; Fox, E.A.: Multilingual federated searching across heterogeneous collections (1998)
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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.
- Type
- a
-
Shneiderman, B.; Byrd, D.; Croft, W.B.: Clarifying search : a user-interface framework for text searches (1997)
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- Abstract
- Current user interfaces for textual database searching leave much to be desired: individually, they are often confusing, and as a group, they are seriously inconsistent. We propose a four- phase framework for user-interface design: the framework provides common structure and terminology for searching while preserving the distinct features of individual collections and search mechanisms. Users will benefit from faster learning, increased comprehension, and better control, leading to more effective searches and higher satisfaction.
- Type
- a
-
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
- Type
- a
-
Tomaiuolo, N.G.; Packer, J.G.: Quantitative analysis of five WWW 'search engines' (1996)
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- Abstract
- Provides a table of the results from over 100 questions actually asked at a library reference desk: The summary notes the average number of relevant 'hits' for all investigated search engines are: AltaVista: 9.3; InfoSeek: 8.3; Lycos: 8.1; Magellan: 7.8; Point: 2.1
-
Campbell, K.: Understanding and comparing search engines (1996)
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- Abstract
- A meta-list of 11 other sites that critique search engines
-
Sullivan D.: ¬The webmaster's guide to search engines and directories (1996)
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- Abstract
- Very thourough report on search engines. Has several sections including What's new, Tips for success, Frequently Asked Questions and an good list of features in a table format
-
Stanley, T.: Alta Vista vs. Lycos (1996)
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- a
-
Matrix of WWW indices : a comparison of Internet indexing tools (1995)
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-
Overton, R.: Search engines get faster and faster, but not always better (1996)
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Day, M.; Koch, T.: ¬The role of classification schemes in Internet resource description and discovery : DESIRE - Development of a European Service for Information on Research and Education. Specification for resource description methods, part 3 (1997)
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-
El-Ramly, N.; Peterson. R.E.; Volonino, L.: Top ten Web sites using search engines : the case of the desalination industry (1996)
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- Abstract
- The desalination industry involves the desalting of sea or brackish water and achieves the purpose of increasing the worls's effective water supply. There are approximately 4.000 desalination Web sites. The six major Internet search engines were used to determine, according to each of the six, the top twenty sites for desalination. Each site was visited and the 120 gross returns were pared down to the final ten - the 'Top Ten'. The Top Ten were then analyzed to determine what it was that made the sites useful and informative. The major attributes were: a) currency (up-to-date); b) search site capability; c) access to articles on desalination; d) newsletters; e) databases; f) product information; g) online conferencing; h) valuable links to other sites; l) communication links; j) site maps; and k) case studies. Reasons for having a Web site and the current status and prospects for Internet commerce are discussed
-
Search Engines and Beyond : Developing efficient knowledge management systems, April 19-20 1999, Boston, Mass (1999)
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- Content
- Ramana Rao (Inxight, Palo Alto, CA) 7 ± 2 Insights on achieving Effective Information Access Session One: Updates and a twelve month perspective Danny Sullivan (Search Engine Watch, US / England) Portalization and other search trends Carol Tenopir (University of Tennessee) Search realities faced by end users and professional searchers Session Two: Today's search engines and beyond Daniel Hoogterp (Retrieval Technologies, McLean, VA) Effective presentation and utilization of search techniques Rick Kenny (Fulcrum Technologies, Ontario, Canada) Beyond document clustering: The knowledge impact statement Gary Stock (Ingenius, Kalamazoo, MI) Automated change monitoring Gary Culliss (Direct Hit, Wellesley Hills, MA) User popularity ranked search engines Byron Dom (IBM, CA) Automatically finding the best pages on the World Wide Web (CLEVER) Peter Tomassi (LookSmart, San Francisco, CA) Adding human intellect to search technology Session Three: Panel discussion: Human v automated categorization and editing Ev Brenner (New York, NY)- Chairman James Callan (University of Massachusetts, MA) Marc Krellenstein (Northern Light Technology, Cambridge, MA) Dan Miller (Ask Jeeves, Berkeley, CA) Session Four: Updates and a twelve month perspective Steve Arnold (AIT, Harrods Creek, KY) Review: The leading edge in search and retrieval software Ellen Voorhees (NIST, Gaithersburg, MD) TREC update Session Five: Search engines now and beyond Intelligent Agents John Snyder (Muscat, Cambridge, England) Practical issues behind intelligent agents Text summarization Therese Firmin, (Dept of Defense, Ft George G. Meade, MD) The TIPSTER/SUMMAC evaluation of automatic text summarization systems Cross language searching Elizabeth Liddy (TextWise, Syracuse, NY) A conceptual interlingua approach to cross-language retrieval. Video search and retrieval Armon Amir (IBM, Almaden, CA) CueVideo: Modular system for automatic indexing and browsing of video/audio Speech recognition Michael Witbrock (Lycos, Waltham, MA) Retrieval of spoken documents Visualization James A. Wise (Integral Visuals, Richland, WA) Information visualization in the new millennium: Emerging science or passing fashion? Text mining David Evans (Claritech, Pittsburgh, PA) Text mining - towards decision support
