|Title||An Up-to-date Knowledge-Based Literature Search and Exploration Framework for Focused Bioscience Domains|
|Publication Type||Conference Paper|
|Year of Publication||2012|
|Authors||Ramakanth Kavuluru, Christopher Thomas, Amit Sheth, Victor Chan, Wenbo Wang, Gary Alan Smith|
|Conference Name||IHI 2012- 2nd ACM SIGHIT International Health Informatics Symposium|
|Conference Location||Miami Florida|
|Keywords||domain models, hypothesis generation, information extraction, knowledge based systems, SCOONER, Semantic Web for life sciences, text mining, Virtuoso|
To handle the exponential growth in bioscience literature, several knowledge-based search systems that facilitate domain-specific search have been proposed. In such systems, knowledge of a domain of interest is embedded as a backbone that guides the search process. But the knowledge used in most such systems 1. exists only for few well known broad domains; 2. is of a basic nature: either purely hierarchical or involves only few relationship types; and 3. is not always kept up-to-date missing insights from recently published results. In this paper we present a framework and implementation of a focused and up-to-date knowledge-based search system, called Scooner, that utilizes domain-specific knowledge extracted from recent bioscience abstracts. To our knowledge, this is the first attempt in the field to address all three shortcomings mentioned above. Since recent introduction for operational use at Applied Biotechnology Branch of AFRL, some biologists are using Scooner on a regular basis, while it is being made available for use by many more. Initial evaluations point to the promise of the approach in addressing the challenge we set out to address.
|Full Text|| |
Ramakanth Kavuluru, Christopher Thomas, Amit Sheth, Victor Chan, Wenbo Wang, Alan Smith, "An Up-to-date Knowledge-Based Literature Search and Exploration Framework for Focused Bioscience Domains," IHI 2012 - 2nd ACM SIGHIT Intl Health Informatics Symposium, January 28-30, 2012.