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  • × theme_ss:"Web-Agenten"
  1. Intelligent information agents : Agent-based information discovery and management on the Internet (1999) 0.01
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    Abstract
    Agent technology has recently become one of the most vibrant and faster growing areas in information technology. Within this booming area, intelligent information agents are attracting particular attention from the research and development community as well as from industry and user communities interested in everyday private and professional applications. This monographic text is the first systematic state-of-the-art survey on intelligent information agents. 18 coherently written chapters by leading authorities provide complementary coverage of the relevant issues organized in 4 parts: cooperative information systems and agents; rational information agents and electronic commerce; adaptive information agents; mobile agents and security. In addition, the volume editor has provided a detailed introductory survey chapter, motivational introductions to the 4 parts, and a comprehensive bibliography listing more than 700 entries
    Content
    Enthält die Kapitel: PAPAZOGLOU, M.P. u. W.-J. van den HEUVEL: From business processes to cooperative information systems: an information agents perspective; SINGH, M.P. u. M.N. HUHNS: Social abstraction for information agents; BERGAMASCHI, S. u. D. BENEVENTANO: Integration of information from multiple sources of textual data; SYCARA, K.: In-context information management through adaptive collaboration of intelligent agents; OUKSEL, A.: A framework for a scalable agent architecture of cooperating heterogeneous knowledge sources; GUTTMAN; R. et al.: Agents as mediators in electronic commerce; NORIEGA, P. u. C. SIERRA: Auctions and multi-agent systems; DURFEE, E.H. et al.: Strategic reasoning and adaptation in an information economy; HADAD, M. u. S. KRAUS: SharedPlans in electronic commerce; ZENG, D.D. u. K. SYCARA: Dynamic supply chain structuring for electronic commerce among agents; SEN, S. et al.: Adaptive choice of information sources; LIEBERMAN, H.: Personal assistants for the Web: a MIT perspective; MOUKAS; A. et al.: Amalthaea and Histos: MultiAgent systems for WWW sites and reputation recommendations; MENCZER, F. u. A.E. MONGE: Scalable Web search by adaptive online agents: an InfoSpiders case study; BREWINGTON, B. et al.: Mobile agents for distributed information retrieval; TOLKSDORF, R.: On coordinating intelligent information agents and mobility; SHEHORY, O.: Spawning information agents on the Web; TSCHUDIN, C.F.: Mobile agent security
  2. Ngu, D.S.W.; Wu, X.: SiteHelper : a localized agent that helps incremental exploration of the World Wide Web (1997) 0.01
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    Abstract
    Proposes an alternative way in assisting users in finding information on the WWW. Since the Web is made up many Web servers, instead of searching all the Web servers, proposes that ech server does its own housekeeping. A software agent named SiteHelper is designed to act as a housekeeper for the Web server and as a helper for a Web user to find relevant information at a particular site. In order to assist the Web user in finding relevant information at the local site, SiteHelper interactively and incrementally learns about the Web user's areas of interest and aids them accordingly. To provide such intelligent capabilities, SiteHelper deploys enhanced HCV with incremental learning facilities as its learning and inference engines
    Date
    1. 8.1996 22:08:06
    Footnote
    Contribution to a special issue of papers from the 6th International World Wide Web conference, held 7-11 Apr 1997, Santa Clara, California
  3. Bicchieri, C.: ¬The potential for the evolution of co-operation among web agents (1998) 0.01
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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
  4. Hermans, B.: Intelligent software agents on the Internet : an inventory of currently offered functionality in the information society and prediction of (near) future developments (1997) 0.01
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  5. Knowles, C.: Intelligent agent development in knowledge management and information retrieval (1999) 0.01
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  6. Thomsen, E.B.: Beyond surfing : the World wide Web gets personal (1998) 0.01
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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
  7. Griswold, S.D.: Unleashing agents : the first wave of agent-enabled products hit the market (1996) 0.01
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    Abstract
    The exponential growth in WWW sites prevents users from finding what they want just by surfing the Internet. Promotes the concept of intelligent agents: software that can keep watch on the WWW for topics and sites of importance to users and delivering information and alerting users when developments require attention. Reviews a selection of commercial intelligent agents currently available
  8. Koller, D.; Shoham, Y.: Information agents : a new challenge for AI (1996) 0.01
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    Abstract
    Reports on the challenges presented to artificial intelligence by information agents acting as part of a digital library. Contributions from probability, knowledge representation, reasoning about uncertainty, and multiagent systems can play a part in meeting these challengens
  9. Blakeman, K.: Intelligent agents : search tools of the future? (1997) 0.01
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    Abstract
    Reviews the Autonomy intelligent search agent for the Internet. The system searches for Internet sites based on a description of the search problem, the user selects suitable documents and the search is retained using this selection. The evaluation indicates that Autonomy is not suited to ad hac one-off searches as it takes too long compared to more traditional search engines. Search agents could be used for monitoring the WWW, or searching newspapers
  10. Krulwich, B.; Burkey, C.: Jack and the InfoFinder agent (1997) 0.01
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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
  11. Chen, H.; Chung, Y.-M.; Ramsey, M.; Yang, C.C.: ¬A smart itsy bitsy spider for the Web (1998) 0.01
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    Abstract
    As part of the ongoing Illinois Digital Library Initiative project, this research proposes an intelligent agent approach to Web searching. In this experiment, we developed 2 Web personal spiders based on best first search and genetic algorithm techniques, respectively. These personal spiders can dynamically take a user's selected starting homepages and search for the most closely related homepages in the Web, based on the links and keyword indexing. A graphical, dynamic, Jav-based interface was developed and is available for Web access. A system architecture for implementing such an agent-spider is presented, followed by deteiled discussions of benchmark testing and user evaluation results. In benchmark testing, although the genetic algorithm spider did not outperform the best first search spider, we found both results to be comparable and complementary. In user evaluation, the genetic algorithm spider obtained significantly higher recall value than that of the best first search spider. However, their precision values were not statistically different. The mutation process introduced in genetic algorithms allows users to find other potential relevant homepages that cannot be explored via a conventional local search process. In addition, we found the Java-based interface to be a necessary component for design of a truly interactive and dynamic Web agent
    Source
    Journal of the American Society for Information Science. 49(1998) no.7, S.604-618
  12. Search tools (1997) 0.00
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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
  13. Cawkell, T.: Could a search agent solve the information overload problem? (1998) 0.00
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    Abstract
    Discusses problems of information overload and of devising a means to retrieve items of interest at a later date. Describes software agents and considers whether they are capable of development to the point where they could search the WWW and retrieve items rank ordered by personal interests. Suggests that although a good deal of research is being done with this end in view, there appears to be little as yet in the way of usable products, and nothing that meets this author's specific needs
  14. Indexing and profiling (1997) 0.00
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    Abstract
    Reviews the range of software designed to act as intelligent search agents to assist users find materials of interest in the Internet and WWW or alternatively selects for them when asking
  15. Shehory, O.: Spawning information agents on the Web (1999) 0.00
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    Source
    Intelligent information agents: Agent-based information discovery and management on the Internet. Ed.: Matthias Klusch
  16. 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
  17. 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
  18. 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]
  19. Waldrop, M.M.: Intelligent agents prepare to sift the riches of cyberspace (1997) 0.00
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    Abstract
    Describes the new breed of intelligent, mobile agents, autonomous software robots that are sent out from the home machine to seek out specific types of data. Notes that safeguards have to be built into them to avoid their being mistaken for viruses. Such agents may also be taught to cooperate with one another
  20. Bradley, P.: Intelligent agents on the Web (1999) 0.00
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