Sub-element Indexing and Probabilistic Retrieval in the POSTGRES Database System
Anne M. Fontaine
EECS Department, University of California, Berkeley
Technical Report No. UCB/CSD-95-876
1995
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This paper describes an implementation of sub-element indexing and probabilistic retrieval in the POSTGRES database system. The indexing module extracts relevant keywords from the document, counts the number of occurrences and inserts an index record for each of the unique keywords. Probabilistic retrieval is an approach to information retrieval that attempts to estimate the probability that a particular document is relevant to the user's information need as expressed in a natural language query. Documents are returned to the user ranked in descending order of this probability of relevance.
BibTeX citation:
@techreport{Fontaine:CSD-95-876,
Author= {Fontaine, Anne M.},
Title= {Sub-element Indexing and Probabilistic Retrieval in the POSTGRES Database System},
Year= {1995},
Month= {May},
Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/1995/5634.html},
Number= {UCB/CSD-95-876},
Abstract= {This paper describes an implementation of sub-element indexing and probabilistic retrieval in the POSTGRES database system. The indexing module extracts relevant keywords from the document, counts the number of occurrences and inserts an index record for each of the unique keywords. Probabilistic retrieval is an approach to information retrieval that attempts to estimate the probability that a particular document is relevant to the user's information need as expressed in a natural language query. Documents are returned to the user ranked in descending order of this probability of relevance.},
}
EndNote citation:
%0 Report %A Fontaine, Anne M. %T Sub-element Indexing and Probabilistic Retrieval in the POSTGRES Database System %I EECS Department, University of California, Berkeley %D 1995 %@ UCB/CSD-95-876 %U http://www2.eecs.berkeley.edu/Pubs/TechRpts/1995/5634.html %F Fontaine:CSD-95-876