Norwegian University of Science and Technology Technical report IDI-TR-10/2002 Design, Implementation, and Performance of the V2 Temporal Document Database System
نویسنده
چکیده
The advent of large amounts of data on the web has closed the gap between the document storage and the database communities. In this paper, this work is continued by the description of the foundations for temporal document databases. We describe functionality and operations/operators to be supported by such systems, and more specifically we describe the architecture for management of temporal documents used in the prototype of the V2 temporal document database system, which supports storage, retrieval, and querying of temporal documents. We also give some performance results from a mini-benchmark run on the V2 prototype.
منابع مشابه
Norwegian University of Science and Technology Technical report IDI-TR-X/2002, last revised: 2002-09-02 V2: A Database Approach to Temporal Document Management
The advent of large amounts of data on the web has closed the gap between the document storage and database communities. In this paper, this work is continued by the description of the foundations for temporal document databases. We describe the V2 temporal document database, which supports storage, retrieval, and querying of temporal documents. We describe functionality and operations/operator...
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With rapidly decreasing storage costs temporal document databases is now a viable solution in many contexts. However, storing an ever growing database can still be too costly, and as a consequence it is desirable to be able to physically delete old versions. Traditionally, this has been performed by an operation called vacuuming, where the oldest versions are physically deleted (or migrated fro...
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In many contexts today we have documents available in a number of versions. In addition to explicit knowledge that can be queried/searched in documents, these documents also contain implicit knowledge that can be found by text mining. In this paper we will study association rule mining of temporal document collections, and extend our previous work by 1) performing mining based on semantics as w...
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