KBB: A knowledge-bundle builder for research studies

David W. Embley, Stephen W. Liddle, Deryle W. Lonsdale, Aaron Stewart, Cui Tao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


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. Active conceptual modeling for learning can give researchers the tools they need to perform their tasks in a more efficient, user-friendly, and computer-supported way. The idea is to create "knowledge bundles" (KBs), which are conceptual-model representations of organized information superimposed over a collection of source documents. A "knowledge-bundle builder" (KBB) helps researchers develop KBs in a synergistic and incremental manner and is a manifestation of learning in terms of its semi-automatic construction of KBs. An implemented KBB prototype shows both the feasibility of the idea and the opportunities for further research and development.

Original languageEnglish (US)
Title of host publicationAdvances in Conceptual Modeling - Applications and Challenges, ER 2010 Workshops ACM-L, CMLSA, CMS, DE@ER, FP-UML, SeCoGIS, WISM, Proceedings
Number of pages10
StatePublished - Dec 15 2010
Event29th International Conference on Conceptual Modeling, ER 2010 - Vancouver, BC, Canada
Duration: Nov 1 2010Nov 4 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6413 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other29th International Conference on Conceptual Modeling, ER 2010
CityVancouver, BC

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


Dive into the research topics of 'KBB: A knowledge-bundle builder for research studies'. Together they form a unique fingerprint.

Cite this