Paper Info
Title
Integrating structured data and text: a multi-dimensional approach
Abstract
Multidimensional databases are used for online analytic processing (OLAP) applications with great success. We introduce a method of using OLAP techniques on a text collection: combining text searching and ranking techniques from information retrieval and the slicing, dicing, and drill-down from OLAP. Our approach integrates structured and unstructured data and takes advantage of the data hierarchies found in the structured data. We describe a prototype where standard multidimensional database tools are used to implement typical information retrieval functionality such as Boolean retrieval and relevance ranking
Year
DOI
Venue
2000
10.1109/ITCC.2000.844234
ITCC
Keywords
Field
DocType
text collection,ranking technique,online analytic processing,text searching,great success,data hierarchies,unstructured data,boolean retrieval,information retrieval,multidimensional databases,standard multidimensional database tools,multi-dimensional approach,structured data,structured data/text integration,integrating structured data,relevance ranking,olap techniques,data mining,very large databases,drill-down,text analysis,text ranking techniques,olap technique,information retrieval functionality,prototypes,government,databases,multidimensional systems,information analysis,multidimensional database,drill down
Data mining,Human–computer information retrieval,Information retrieval,Data retrieval,Computer science,Unstructured data,Relevance (information retrieval),Document retrieval,Online analytical processing,Data model,Concept search
Conference
ISBN
Citations 
PageRank 
0-7695-0540-6
13
0.66
References 
Authors
12
4
Name
Order
Citations
PageRank
Jinho Lee153647.15
David Grossman252534.73
Ophir Frieder33300419.55
M. Catherine McCabe4917.85