T. Yan and H. Garcia-Molina. Efficient dissemination of information on the internet. Data Engineering, 19(13), September 1996. A Already Queued Request Entries (Lb) In this Appendix, we present the derivation of Equation 6. In  Home/Search   Document Not in Database   Summary   Related Articles   Check

....and applications. A taxonomy of data delivery mechanisms (including various forms of broadcast) along with a framework for describing dissemination based systems is provided in [FZ97] Some recent applications of dissemination based systems include information dissemination on the Internet [YGM96, BC96], Advanced Traveler Information Systems [SFL96] and dissemination using satellite networks [DP96] Much work has been done on push based systems in which data is broadcast to clients without requiring specific client requests. A number of systems have been proposed for broadcasting data using a ....

T. Yan and H. Garcia-Molina. Efficient dissemination of information on the internet. Data Engineering, 19(13), September 1996. A Already Queued Request Entries (Lb) In this Appendix, we present the derivation of Equation 6. In

....but to overcome the limitations of the traditional unicast, pull based web model when applications become data intensive. 6.2 Data Dissemination Large scale data distribution has been studied to some extent. However, many related projects focus largely on a single application. For example, SIFT[14, 15] and Tapestry[16] both focus largely on email filtering and dissemination. Salamander develops an information dissemination architecture that looks largely at delivery semantics such as Quality of Service parameters[17] The model itself does not directly address issues of scale in the information ....

T. Yan and H. Garcia-Molina, "Efficient dissemination of information on the internet," Data Engineering Bulletin, vol. 19, no. 3, pp. 48--54, 1996.

....namely, when threshold # is set to 1.0. Notice that it is straightforward to generalize the approaches we describe here to use an LSI space rather than the regular (keyword) vector space. The approach taken by SIFT, which uses the publish subscribe model for wide area information dissemination [27, 26], requires users to explicitlysubmit their profiles and update those profiles using relevance feedback. Our approach differs from that of SIFT in its use of a set of inter related profile vectors whose contents and cardinality change based on user feedback, and its ability to construct profiles ....

T. Yan and H. Garcia-Molina. Efficient dissemination of information on the Internet. IEEE Data Engineering Bulletin, 19(3):48--54, 1996.

....but to overcome the limitations of the traditional unicast, pull based web model when applications become data intensive. 6.2 Data Dissemination Large scale data distribution has been studied to some extent. However, many related projects focus largely on a single application. For example, SIFT[20, 19] and Tapestry[12] both focus largely on email filtering and dissemination. Salamander develops an information dissemination architecture that looks largely at delivery semantics such as Quality of Service parameters[15] The model itself does not directly address issues of scale in the information ....

T. Yan and H. Garcia-Molina. Efficient dissemination of information on the internet. Data Engineering Bulletin, 19(3):48--54, 1996.

....scenarios and applications. A taxonomy of data delivery mechanisms (including various forms of broadcast) along with a framework for describing dissemination based systems is provided in [15] Some recent applications of dissemination based systems include information dissemination on the Internet [27, 9], Advanced Traveler Information Systems [22] and dissemination using satellite networks [12] Much work has been done on push based systems in which data is broadcast to clients without specific client requests. A number of systems have been proposed for broadcasting data using a periodic push. ....

T. Yan and H. Garcia-Molina. Efficient dissemination of information on the internet. Data Engineering, 19(13), September 1996. A Derivation of L b In this Appendix, we present the derivation of Equation 6. In

....and applications. A taxonomy of data delivery mechanisms (including various forms of broadcast) along with a framework for describing dissemination based systems is provided in [FZ97] Some recent applications of dissemination based systems include information dissemination on the Internet [YGM96, BC96], Advanced Traveler Information Systems [SFL96] and dissemination using satellite networks [DP96] Much work has been done on push based systems in which data is broadcast to clients without requiring specific client requests. A number of systems have been proposed for broadcasting data using a ....

T. Yan and H. Garcia-Molina. Efficient dissemination of information on the internet. Data Engineering, 19(13), September 1996. A Already Queued Request Entries (L b ) In this Appendix, we present the derivation of Equation 6. In

....and applications. A taxonomy of data delivery mechanisms (including various forms of broadcast) along with a framework for describing dissemination based systems is provided in [FZ97] Some recent applications of dissemination based systems include information dissemination on the Internet [YGM96, BC96], Advanced Traveler Information Systems [SFL96] and dissemination using satellite networks [DP96] Much work has been done on push based systems in which data is broadcast to clients without requiring specific client requests. A number of systems have been proposed for broadcasting data using a ....

T. Yan and H. Garcia-Molina. Efficient dissemination of information on the internet. Data Engineering, 19(13), September 1996.

....can be resource intensive. Additionally, given the fact that the user interests are changing over time, the profiles must be updated accordingly to reflect up to date information needs. The need for scalable, efficient profile management was clearly demonstrated by experience with the SIFT system [YGM96] In our work on user profiles [CFG] we have developed MM, an incremental algorithm for constructing and maintaining user profiles for filtering text based data items. MM can be tuned to trade off effectiveness (i.e. accuracy of the filtered data items) and efficiency of profile management. The ....

Tak W. Yan and Hector Garcia-Molina. Efficient dissemination of information on the internet. IEEE Data Engineering Bulletin, 19(3), September 1996. U. Cetintemel, B.T. J'onsson, M.J. Franklin, C.L. Giles, and D. Srivastava Page4

....of data broadcasting. A taxonomy of data delivery mechanisms (including various forms of broadcast) along with a framework for describing dissemination based systems is provided in [Fran97] Some recent applications of dissemination based systems include information dissemination on the Internet [Yan96], Best96] Advanced Traveler Information Systems [Shekhar96] and dissemination using satellite networks [Dao96] The Datacycle Project [Herm87] Bowen92] at Bellcore investigated the use of a repetitive broadcast medium for database storage and query processing. An other early effort in ....

T. Yan and H. Garcia-Molina, "Efficient Dissemination of Information on the Internet", Data Engineering, 19(13), 1996.

....can be resource intensive. Additionally, given the fact that the user interests are changing over time, the profiles must be updated accordingly to reflect up to date information needs. The need for scalable, efficient profile management was clearly demonstrated by experience with the SIFT system [YGM96] In our work on user profiles [CFG98] we have developed MM, an incremental algorithm for constructing and maintaining user profiles for filtering text based data items. MM can be tuned to trade off effectiveness (i.e. accuracy of the filtered data items) and efficiency of profile management. ....

Tak W. Yan and Hector Garcia-Molina. Efficient dissemination of information on the internet. IEEE Data Engineering Bulletin, 19(3), September 1996. U. Cetintemel, B.T. J'onsson, M.J. Franklin, C.L. Giles, and D. Srivastava Page4

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