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An Annotation Framework for Dense Event Ordering
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In: DTIC (2014)
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A Prototype of Multilevel Data Integration in the MYSEA Testbed
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In: DTIC (2007)
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Science and Technology Text Mining: Wireless LANS
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In: DTIC AND NTIS (2005)
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Science and Technology Text Mining: Electric Power Sources
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In: DTIC AND NTIS (2004)
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Science and Technology Text Mining: Nonlinear Dynamics
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In: DTIC AND NTIS (2004)
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Implications of Multilingual Interoperability of Speech Technology for Military Use (Les implications de l'interoperabilite multilingue des technologies vocales pour applications militaires) (CD-ROM)
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In: DTIC (2004)
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8 |
Spatio-Temporal Data Access for Information-Based Decision Making
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In: DTIC AND NTIS (2003)
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9 |
Science and Technology Text Mining: Electrochemical Power
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In: DTIC AND NTIS (2003)
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Science and Technology Text Mining: Near-Earth Space
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In: DTIC (2003)
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Macromolecule Mass Spectrometry: Citation Mining of User Documents
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In: DTIC AND NTIS (2003)
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Science and Technology Text Mining: Comparative Analysis of the Research Impact Assessment Literature and the Journal of the American Chemical Society
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In: DTIC AND NTIS (2003)
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Dialogue Management for an Automated Multilingual Call Center
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In: DTIC (2003)
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Feasibility of Creating a Comprehensive Real Property Database for Colombia
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In: DTIC AND NTIS (2002)
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Mapping Lexical Entries in a Verbs Database to WordNet Senses
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In: DTIC (2001)
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Mapping WorldNet Senses to a Lexical Database of Verbs
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In: DTIC (2001)
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Advanced Search Technologies for Unfamiliar Metadata
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In: DTIC (2001)
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Building Standardized 3D Face Data Base for Face Recognition Applications
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In: DTIC AND NTIS (2001)
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Databases for Assessment of Military Speech Technology Equipment. (les Bases de donnees pour l'evatuation des equipements de technologie vocale militaire)
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In: DTIC (2000)
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Improving Efficiency of Indexing by Using a Hierarchical Merge Approach
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In: DTIC (1998)
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Abstract:
As electronic collections become larger and more numerous, systems capable of working with very large collections will be more and more in demand. On the other hand, computer main memory is relatively limited and constrained compared to the amount of data in a large collection. The requirement for larger memory while building big databases can sometimes make this resource a bottleneck for an information indexing system. INQUERY is a state-of-the-art, widely used, full-text information retrieval system. The INQUERY document indexing system consists of two main operations: parsing and merging. The subsystem responsible for parsing is called the Parser. It creates partial inverted lists by scanning, lexically analyzing, and inverting documents. A partial inverted list contains document entries for a subset of the documents in the collection. It must be combined with other partial inverted lists for the same term to create a final inverted list for the document collection. The Parser buffers partial inverted lists in main memory and flushes them to intermediate files when the buffer is full. The subsystem responsible for merging is called the Merger. After all of the documents have been parsed, the Merger combines the intermediate files to produce the final inverted lists for the collection. The aim of this project is to solve the efficiency and scalability problem of the Merger for the INQUERY indexing system. The speed performance of the old Merger (merge_btl) degrades significantly when used in building big databases under tight memory space limitations. The authors have found a better solution by using a hierarchical merge approach. Timing tests on the new Merger indicates that merge time can be significantly reduced. Hierarchical merge nicely solves the problem of scalability and greatly improves the efficiency of building very large databases for information retrieval systems. ; Sponsored in part by the National Science Foundation, Library of Congress, and Department of Commerce under cooperative agreement no. EEC-9209623.
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Keyword:
*DATA BASES; *DOCUMENT INDEXING SYSTEMS; *DOCUMENTS; *EXPERT SYSTEMS; *FULL-TEXT DATABASES; *INFORMATION RETRIEVAL; *MACHINE AIDED INDEXING; *MERGE TIME REDUCTION; *QUICK REACTION; Cybernetics; EFFICIENCY; EXPERIMENTAL DATA; FULL-TEXT RETRIEVAL; HIERARCHICAL MERGE APPROACH; HIERARCHIES; INDEX TERMS; Information Science; INFORMATION SYSTEMS; INVERTED LISTS; Linguistics; MERGING; PARSERS; SCALABILITY
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA478134 http://www.dtic.mil/docs/citations/ADA478134
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