Title
Integrating Diverse Information Management Systems: A Brief Survey
Abstract
Most current information management systems can be classified into text retrieval systems, relational/object database systems, or semistructured/XML database systems. However, in practice, many applications data sets involve a combination of free text, structured data, and semistructured data. Hence, integration of different types of information management systems has been, and continues to be, an active research topic. In this paper, we present a short survey of prior work on integrating and inter-operating between text, structured, and semistructured database systems. We classify existing literature based on the kinds of systems being integrated and the approach to integration. Based on this classification, we identify the challenges and the key themes underlying existing work in this area.
Year
Venue
Keywords
2001
IEEE Data Eng. Bull.
database system,structured data,information management system,xml database
Field
DocType
Volume
Data mining,Management information systems,Data administration,Information retrieval,Database model,Computer science,Database schema,Database testing,Database design,Intelligent database,Database theory,Database
Journal
24
Issue
Citations 
PageRank 
4
17
1.37
References 
Authors
50
2
Name
Order
Citations
PageRank
Sriram Raghavan1109697.25
Héctor García-Molina2243595652.13