Entity Bases: Large-Scale Knowledgebases for Intelligence Data
Abstract
This report describes new technology for rapidly integrating information from heterogeneous sources. First, we consider the problem of integrating records about entities harvested from multiple sources. We address this problem by developing the technology to build massive entity knowledgebases, which we call EntityBases. The key idea is to create a comprehensive knowledgebase for the entities of interest. In order to build such a knowledge base, we address the issues of linking entities with noisy, multi-valued attributes obtained from heterogeneous sources and providing a virtual repository that can be efficiently queried. This report describes how we have addressed these issues and shows how an EntityBase can be used for understanding and linking text documents. We also consider the problem of on-demand information integration and describe a novel smart copy and paste (SCP) architecture that seamlessly combines the design-time and run-time aspects of data integration.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 01, 2009
- Accession Number
- ADA494978
Entities
People
- Ching-chien Chen
- Craig Knoblock
- Steven Minton
Organizations
- University of Southern California