Enhancing navigation in biomedical databases by community voting and database-driven text classification

Database Citation in Full Text Biomedical Articles

Molecular biology and literature databases represent essential infrastructure for life science research. Effective integration of these data resources requires that there are structured cross-references at the level of individual articles and biological records. Here, we describe the current patterns of how database entries are cited in research articles, based on analysis of the full text Open...

Attribute Analysis in Biomedical Text Classification

Text Classification tasks are becoming increasingly popular in the field of Information Access. Being approached as Machine Learning problems, the definition of suitable attributes for each task is approached in an ad-hoc way. We believe that a more principled framework is required, and we present initial insights on attribute engineering for Text Classification, along with a software library t...

Enhancing Text Classification by Information Embedded in the Test Set

Current text classification methods are mostly based on a supervised approach, which require a large number of examples to build models accurate. Unfortunately, in several tasks training sets are extremely small and their generation is very expensive. In order to tackle this problem in this paper we propose a new text classification method that takes advantage of the information embedded in the...

Investigation on Full-Text Databases Cited in LIS

Background and Aim: The main objective of this research was to investigate the use of full-text databases in the LIS theses of Tehran State Universities within the years 2005 and 2009. Method: For this purpose, the total of 9952 citations related to 172 existing theses in the academic central libraries were studied. The data collected were analyzed by the bibliometrics and citation analysis met...

Discovering gene annotations in biomedical text databases Supplementary Material