Information Credibility Assessment and Meta Data Modeling in Integrating Heterogeneous Data Sources
Abstract
This effort identified several key issues and proposes a framework to solve the problem of credibility and validity assessment of information from various data sources for information fusion. This report outlines some of the important steps in a framework for an information validity assessment. The report also describes some algorithms for conflict resolution. The effort also proposes a prototype of a decision-support system to support the estimation of the composite data values from heterogeneous databases with different validity assessment values. As part of this effort this prototype has been implemented using Java and Oracle DBMS version 8i for helping people to make decisions under conflicting data situations and for information validity assessment based on the proposed meta-data conceptual modeling methodology. Finally, several issues closely related to information credibility assessment such as meta data modeling and reverse-engineering of existing database schemas into conceptual models are examined.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 2002
- Accession Number
- ADA409695
Entities
People
- Peter P. Chen
Organizations
- Louisiana State University