Search (44 results, page 2 of 3)

  • × theme_ss:"Web-Agenten"
  1. Imam, I.F.; Kodratoff, Y.: Intelligent adaptive agents (1997) 0.01
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    Abstract
    Reports on the Workshop on Intelligent Adaptive Agents, part of the 13th National conference on Artificial Intelligence (AAI-96) which presented state-of-the art methodologies for research and development of intelligent adaptive agents and defined initial boundaries, criteria and acceptable characteristics of the field. Discusses definitions of an agent, summarizes issues discussed at the workshop, and the presented talks and presentations
    Date
    22. 1.1999 18:46:03
  2. Search tools (1997) 0.01
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    Abstract
    Offers brief accounts of Internet search tools. Covers the Lycos revamp; the new navigation service produced jointly by Excite and Netscape, delivering a language specific, locally relevant Web guide for Japan, Germany, France, the UK and Australia; InfoWatcher, a combination offline browser, search engine and push product from Carvelle Inc., USA; Alexa by Alexa Internet and WBI from IBM which are free and provide users with information on how others have used the Web sites which they are visiting; and Concept Explorer from Knowledge Discovery Systems, Inc., California which performs data mining from the Web, Usenet groups, MEDLINE and the US Patent and Trademark Office patent abstracts
  3. Pandit, M.S.; Kalbag, S.: ¬The Selection Recognition Agent : instant access to relevant information and operations (1998) 0.01
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    Abstract
    Presents the Selection Recognition Agent (SRA), an application for Windows-based personal computers. It recognises meaningful words and phrases in highlighted text and enables useful operations on them. The SRA includes 7 recognition modules, for geographic names, dates, electronic mail addresses, and phone numbers, Usenet newsgroup name components, Microsoft Outlook 97 contact records, and URLs, as well as a module that enables useful operations on text in general. Describes the architecture and design of the SRA. The experiments demonstrate that the SRA significantly reduces the time and effort users must expend in performing common tasks
    Source
    Knowledge-based systems. 10(1998) no.5, S.304-310
  4. Weiner, M.: ¬Die Agenten kommen (2002) 0.01
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    Abstract
    Der klassische Agent arbeitet für andere, hat selbst jedoch einen großen Entscheidungsspielraum. software-Agenten, eine Entwicklung der Künstlichen Intelligenz-Forschung, sind ähnlich gestrickt: Sie bekommen nur ihr Ziel gesagt, den Weg dorthin suchen sie selbständig. In Informationsnetzwerken werden sie bereits routinemäßig eingesetzt, um im Internet nach Informationen zu suchen, in großen Unternehmen Telefongespräche zu vermitteln oder in Banken die Bonität unbekannter Kunden zu prüfen. Derzeit enwickeln weltweit über 40 Unternehmen kommerzielle Agentensoftware, das Marktvolumen lag nach Schätzung des Marktforschungszentrums Ovum im Jahr 2000 bei 4 Milliarden US-Dollar. In Zukunft werden Software-Agenten nach Ansicht der Experten auch die Maschinensteuerung revolutionieren: Die Programme verbessern die Flexibilität von Service- und Industrierobotern und machen aus den bisher recht unflexiblen Blech-Gesellen "technische Agenten"
  5. Lieberman, H.: Personal assistants for the Web : an MIT perspective (1999) 0.01
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    Abstract
    The growing complexity of sources of information and users' needs for information is fast outstripping the manual browsing and searching interfaces of the past. A long-term approach to the complexity problem is to design intelligent information agents that provide active assistance in the process of finding and organizing information. These agents differ from conventional information retrieval in how they interact with the user and the dynamic nature of the information they deal with. This article surveys some work at the MIT Media Lab in developing intelligent informations, especially as assistants to users browsing the Web. These agents don't replace conventional browsing or direct manipulation interfaces, but work with such interfaces to learn from interaction with the user, anticipate the user's needs, and connect the user with othe people who may share his or her interests
    Date
    7. 8.1999 11:22:55
  6. Krulwich, B.; Burkey, C.: ¬The InfoFinder agent : learning user interests through heuristic phrase extraction (1997) 0.01
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    Abstract
    Introduces the InfoFinder agent, which uses innovative approaches for learning user information interests from sets of messages or other online documents that users have classified. It learns general profiles from documents by heuristically extracting phrases that are likely to represent the document's topis
    Source
    IEEE expert. 12(1997) no.5, S.22-27
  7. Fichtner, M.: Im Land der Raketenwürmer (1997) 0.01
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    Abstract
    Sie rasen wie gestört durchs Netz, klicken aus alles, was sich bewegt, merken sich jeden noch so unwichtigen Blödsinn - und sind damit zum wichtigsten und zugleich umstrittensten Stückchen Software im Internet geworden: die sog. Crawlers, Robots, Spiders, Worms und Ants
  8. Noriega, P.; Sierra, C.: Auctions and multi-agent systems (1999) 0.01
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  9. Moukas, A.; Zacharia, G.; Maes, P.: Amalthaea and Histos : MultiAgent systems for WWW sites and reputation recommendations (1999) 0.01
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  10. Bicchieri, C.: ¬The potential for the evolution of co-operation among web agents (1998) 0.00
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    Abstract
    In building intelligent network agents, computer scientists may employ a variety of different design strategies, and their design decisions can have a significant effect on the ultimative nature of network interactions. Focuses on a particular design question, the multiple-access problem: if an agent seeking a piece of information knows of several sites that have, or might have, that information, how many queries should it issue, and when? Provides a formal analysis that demonstrates the viability of cooperative responses th this question under certain assumptions. discusses the limitations of this analysis and presents the results of experiments done using a genetic-algorithms approach in which simulated network agents 'evolve' cooperative strategies under less restrictive assumptions tham those made in the formal analysis
    Source
    International journal of human-computer studies. 48(1998) no.1, S.9-29
  11. Thomsen, E.B.: Beyond surfing : the World wide Web gets personal (1998) 0.00
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    Abstract
    Over the past few years the amount of information available on the WWW has grown so much and so fast that there is no accurate way to count or estimate it. Directory services and search tools do not learn about the searcher nor adapt themselves to his needs. Draws attention to a new generation of WWW sites that can be customized to the needs of users and offers examples of some of these personalized services
  12. Collins, S.: Find it! (Again) : Part 2 (1998) 0.00
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    Abstract
    Part 2 of a 3 part series covering the searching of the Internet and WWW focusing on how to use intelligent search agents and revealing secrets of advanced search techniques
  13. Collins, S.: Find it! : Part 1 (1998) 0.00
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    Abstract
    Part 1 of a 3 part series covering the searching of the Internet and WWW focusing on how to use intelligent search agents and revealing secrets of advanced search techniques
  14. Locke, C.: Intelligent agents create dumb users (?) (1997) 0.00
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    Abstract
    Considers the possible future role of intelligent agents as filters for the flow of unstructured information and as a means of providing users with personalized information services which could act as a substitute for function currently performed in society by newspapers. Concludes that many of the arguments, used to support the idea that the drive to create intelligent agents are user driven, are flawed and that the drive is market driven
  15. Wenyin, L.; Chen, Z.; Li, M.; Zhang, H.: ¬A media agent for automatically builiding a personalized semantic index of Web media objects (2001) 0.00
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    Abstract
    A novel idea of media agent is briefly presented, which can automatically build a personalized semantic index of Web media objects for each particular user. Because the Web is a rich source of multimedia data and the text content on the Web pages is usually semantically related to those media objects on the same pages, the media agent can automatically collect the URLs and related text, and then build the index of the multimedia data, on behalf of the user whenever and wherever she accesses these multimedia data or their container Web pages. Moreover, the media agent can also use an off-line crawler to build the index for those multimedia objects that are relevant to the user's favorites but have not accessed by the user yet. When the user wants to find these multimedia data once again, the semantic index facilitates text-based search for her.
    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.10, S.853-855
  16. Wang, H.; Liao, S.; Liao, L.: ¬An agent-based framework for Web query answering (2000) 0.00
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    Source
    Journal of information science. 26(2000) no.2, S.101-109
  17. Thompson, D.M.; Egyhazy, C.J.; Plumkett Jr., T.K.: Intelligent Web search agents (2000) 0.00
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    Source
    Encyclopedia of library and information science. Vol.67, [=Suppl.30]
  18. Krulwich, B.; Burkey, C.: Jack and the InfoFinder agent (1997) 0.00
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    Abstract
    The InfoFinder agent learnes profiles of user interests from sample documents submitted by the user while browsing, without requiring the user to complete a questionnaire about interests in various documents. It learns general profiles from the documents by heuristically extracting phrases from the documents taht are likely to represent the topic of the document. Its learning algorithm generates a search tree, which is then translated into a Boolean search string for submission to a generic search engine. It sends the user regular updates on documents without requiring the user to take the initiative to access the agent
    Source
    New review of information networking. 1997, no.3, S.213-221
  19. Julian, V.; Carrascosa, C.; Soler, J.: ¬A multiagent system architecture for retrieving and showing information (2000) 0.00
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    Abstract
    Over the last few years the use of the agent/multi-agent paradigm has grown sharply. This paradigm has been applied to different fields including control processes, mobile robots, and information retrieval. In this paper, we present a system architecture based on the agent and multi-agent paradigm that allows us to retrieve and manage any kind of information from the Internet. We present our architecture as a generic and open system architecture. One of its main features is the agents' independence from the network's dynamic. We explain in detail what has already been done in our architecture as well as our future plans
  20. Hume, C.: Internet search engines and robots : what they are and how to use them (2000) 0.00
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    Abstract
    An overview of the Internet is provided. It describes what the Internet is, how and when it was started, and the four main functions it currently offers. It then focuses on the World Wide Web, and in particular robots and search engines. An overview is provided of both robots and search engines, with some examples and illustrations. It concludes with how to choose a search engine for a particular enquiry, gives some hints and tips for Internet searches, and emphasises that good retrieval is achieved not only by good search engines but also by responsible Web mastering which helps to disseminate effectively any Internet published material.
    Source
    Journal of Internet cataloging. 2(2000) nos.3/4, S.29-45