Search (33 results, page 1 of 2)

  • × theme_ss:"Web-Agenten"
  1. LaMacchia, B.A.: ¬The Internet Fish construction Kit (1997) 0.02
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    Abstract
    Describes the Internet Fish Construction Kit, a tool for building persistent, personal, dynamic information gatherers for the WWW. Internet Fish (IFISH) differ from current resource discovery tools in that they are introspective, incorprating deep structural knowledge of the organization and services of the Web, and are also capable of on-the-fly reconfiguration, modification and expansion. Introspection lets IFISH examine and automatically remember not only what information has been uncovered but also how that information was derived
    Date
    1. 8.1996 22:08:06
    17. 1.1999 20:22:46
  2. Cheung, D.W.; Kao, B.; Lee, J.: Discovering user access patterns on the World Wide Web (1998) 0.02
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    Abstract
    Intelligent agents should be used to assist users of the WWW. Identifies a number of key components in such a system and proposes a system architecture. Designs a learning agent along with the underlying algorithms for the discovery of areas of interest from user access logs. The discovered topics can be used to improve the efficiency of information retrieval by prefetching documents for the users and storing them in a document database in the system. Implements a prototype system
    Footnote
    Contribution to a special issue of selected papers from the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'97), held Singapore, 22-23 Feb 1997
  3. Imam, I.F.; Kodratoff, Y.: Intelligent adaptive agents (1997) 0.02
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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
  4. Krulwich, B.; Burkey, C.: ¬The InfoFinder agent : learning user interests through heuristic phrase extraction (1997) 0.02
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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
  5. Juhne, J.; Jensen, A.T.; Gronbaek, K.: Ariadne: a Java-based guided tour system for the World Wide Web (1998) 0.02
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    Abstract
    Presents a Guided tour system for the WWW, called Ariadne, which implements the ideas of trails and guided tours, originating from the hypertext field. Ariadne appears as a Java applet to the user and it stores guided tours in a database format separated from the WWW documents included in the tour. Itd main advantages are: an independent user interface which does not affect the layout of the documents being part of the tour, branching tours where the user may follow alternative routes, composition of existing tours into aggregate tours, overview map with indication of which parts of a tour have been visited an support for getting back on track. Ariadne is available as a research prototype, and it has been tested among a group of university students as well as casual users on the Internet
    Date
    1. 8.1996 22:08:06
  6. Kurzke, C.; Galle, M.; Bathelt, M.: WebAssistant : a user profile specific information retrieval assistant (1998) 0.02
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    Abstract
    Describes the concept of a proxy based information classification and filtering utility, named Web Assistant. On the behalf of users a private view of the WWW is generated based on a previously determined profile. This profile is created by monitoring the user anf group activities when browsing WWW pages. Additional features are integrated to allow for easy interoperability workgroups with similar project interests, maintain personal and common hotlists with automatic modification checks and a sophisticated search engine front-end
    Date
    1. 8.1996 22:08:06
  7. Ngu, D.S.W.; Wu, X.: SiteHelper : a localized agent that helps incremental exploration of the World Wide Web (1997) 0.02
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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
  8. Lieberman, H.: Personal assistants for the Web : an MIT perspective (1999) 0.02
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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
  9. Wang, H.; Liao, S.; Liao, L.: ¬An agent-based framework for Web query answering (2000) 0.01
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  10. Moore, D.; Greengrass, E.: Design considerations for agent systems that glean the Internet (1999) 0.01
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  11. Tambe, M.; Gmytrasiewicz, P.: AAAI-96 Workshop on Intelligent Modeling (1997) 0.01
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    Date
    22. 1.1999 18:50:30
  12. 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
  13. Haverkamp, D.S.; Gauch, S.: Intelligent information agents : review and challenges for distributed information sources (1998) 0.01
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    Abstract
    Presents an overview of intelligent software agents in information retrieval, including an explanation of agents and agent architecture, and presents several agent systems. Distinguishes between agents as individual entities, whose properties and characteristics are described separately, and agent systems as collections of agents utilised for information retrieval tasks, which are discussed in terms of individual implementations
    Source
    Journal of the American Society for Information Science. 49(1998) no.4, S.304-311
  14. Wenyin, L.; Chen, Z.; Li, M.; Zhang, H.: ¬A media agent for automatically builiding a personalized semantic index of Web media objects (2001) 0.01
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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
  15. 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
  16. Watson, M.: Programming intelligent agents for the Internet (1996) 0.01
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  17. Indexing and profiling (1997) 0.01
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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
  18. Moukas, A.; Zacharia, G.; Maes, P.: Amalthaea and Histos : MultiAgent systems for WWW sites and reputation recommendations (1999) 0.01
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  19. Locke, C.: Intelligent agents create dumb users (?) (1997) 0.01
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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
  20. Tegenbos, J.; Nieuwenhuysen, P.: My kingdom for an agent? : Evaluation of Autonomy, an intelligent search agent for the Internet (1997) 0.00
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    Abstract
    Evaluates a range of commercially available software designed to act as intelligent search agents to assist users find materials of interest on the Internet and WWW or selects for them without asking. Notes that existing search engines can be useful in finding information but their different features and sometimes unfriendly interfaces can be confusing and intelligent search agents may be able to overcome these difficulties. Singles out one package: Autonomy; from Autonomy Corporation, describes its specific features and reports results of a test conducted with the software. Concludes that, from the test results, Autonomy is not yet ready to challenge the existing Internet search engines, which in the tests performed better than Autonomy with regard to recall and precision of information retrieval. Autonomy did not give enough feedback to control the search action