.png){kind=icon}
Return
A methodology to retrieve text documents from multiple databases
.png){kind=icon}
PRE
AI
DOI：10.1109/TKDE.2002.1047772.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper presents a methodology for finding the n most similar documents across multiple text databases for any given query and for any positive integer n. This methodology consists of two steps. First, the contents of databases are indicated approximately by database representatives. Databases are ranked using their representatives with respect to the given query. We provide a necessary and sufficient condition to rank the databases optimally. In order to satisfy this condition, we provide three estimation methods. One estimation method is intended for short queries; the other two are for all queries. Second, we provide an algorithm, OptDocRetrv, to retrieve documents from the databases according to their rank and in a particular way. We show that if the databases containing the n most similar documents for a given query are ranked ahead of other databases, our methodology will guarantee the retrieval of the n most similar documents for the query. When the number of databases is large, we propose to organize database representatives into a hierarchy and employ a best-search algorithm to search the hierarchy. It is shown that the effectiveness of the best-search algorithm is the same as that of evaluating the user query against all database representatives.
Keywords:
distributed information retrieval
resource discovery
database selection
metasearch
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
10.4
Papers:
6.9K
Citations:
3.2W
Organization
No organization information available
Cited Papers
ShareSaveApplications of α-alkoxyorganocuprate reagents in the regiospecific synthesis of cyclic homoaldol products.png)
Tetrahedron
TetrahedronIF0
PREAI
ShareSaveQSPR Modelling of the Solubility of Drug and Drug‐like Compounds in Supercritical Carbon Dioxide
PREAI
ShareSaveShareSaveA corpus analysis approach for automatic query expansion and its extension to multiple databases
OAAI
OAAIShareSavePopulation Size and Migration of Anopheles gambiae in the Bancoumana Region of Mali and Their Significance for Efficient Vector ControlPLoS ONE
OAAI
PLoS ONEIF0
OAAIShareSave
View more