KBB: A Knowledge-Bundle Builder for Research Studies

Researchers struggle to manage vast amounts of data coming from hundreds of sources in online repositories. To successfully conduct research studies, researchers need to find, retrieve, filter, extract, integrate, organize, and share information in a timely and high-precision manner. We are building a system that implements active conceptual modeling for learning as a way to give researchers the tools they need to perform their tasks in a more efficient, user-friendly, and computersupported way. The system involves (1) creating “knowledge bundles” (KBs), which are data representations that enable researchers to perform their information extraction and organization work, and (2) providing a “knowledge bundle builder” (KBB) to help researchers develop KBs in a synergistic and incremental manner. The KBB can support both individual and team work, and can even help provide for larger-scale research repositories to be shared widely among the research community.

• Type: Journal
• Year: 2010
• Where: ER
• Authors: David W. Embley, Stephen W. Liddle, Deryle W. Lonsdale, Aaron Stewart, Cui Tao
• Keywords: Database, ER 2010, Knowledge Bundle Builder, Online Repositories, Vast Amounts