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Fast incremental indexing for full-text information retrieval (1994)
| Content Provider | CiteSeerX |
|---|---|
| Author | Callan, James P. Brown, Eric W. Croft, W. Bruce |
| Abstract | tion. Applications such as information filtering and daily news feed services are constantly processing new documents. If IR systems are to support such applications, they Full-text information retrieval systems have traditionally been designed for archival environments. They often provide little or no support for adding new documents to an existing document collection, requiring instead that the entire collection be re-indexed. Modem applications, such as information filtering, operate in dynamic environments that require frequent additions to document collections. We provide this ability using a traditional inverted file index built on top of a persistent object store. The data management facilities of the persistent object store are used to produce efficient incremental update of the inverted lists. We describe our system and present experimental results showing superior.incremental indexing and competitive query processing performance. |
| File Format | |
| Publisher Date | 1994-01-01 |
| Access Restriction | Open |
| Subject Keyword | File Index Frequent Addition Modem Application Fast Incremental Indexing Incremental Indexing Full-text Information Retrieval Daily News Feed Service Entire Collection Data Management Facility Present Experimental Result Archival Environment Competitive Query Processing Performance Inverted List Ir System Persistent Object Store Dynamic Environment Information Retrieval System Document Collection New Document Information Filtering Efficient Incremental Update |
| Content Type | Text |