Abstract

Background. Recent advances in computational and biological methods in last two decades have remarkably changed the scale of biomedical research and with it began the unprecedented growth in both the production of biomedical data and amount of published literature discussing it. An automated extraction system coupled with a cognitive search and navigation service over these document collections would not only save time and effort, but also pave the way to discover hitherto unknown information implicitly conveyed in the texts. Results. We developed a novel framework (named "BioEve") that seamlessly integrates Faceted Search (Information Retrieval) with Information Extraction module to provide an interactive search experience for the researchers in life sciences. It enables guided step-by-step search query refinement, by suggesting concepts and entities (like genes, drugs, and diseases) to quickly filter and modify search direction, and thereby facilitating an enriched paradigm where user can discover related concepts and keywords to search while information seeking. Conclusions. The BioEve Search framework makes it easier to enable scalable interactive search over large collection of textual articles and to discover knowledge hidden in thousands of biomedical literature articles with ease.

Original languageEnglish (US)
Article number509126
JournalAdvances in Bioinformatics
Volume2012
DOIs
StatePublished - 2012

Fingerprint

Information Storage and Retrieval
Biological Science Disciplines
Information retrieval
Biomedical Research
Navigation
Genes
Research Personnel
Growth
Pharmaceutical Preparations
Direction compound

ASJC Scopus subject areas

  • Computer Science Applications
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Biomedical Engineering

Cite this

BioEve search : A novel framework to facilitate interactive literature search. / Ahmed, Syed Toufeeq; Davulcu, Hasan; Tikves, Sukru; Nair, Radhika; Zhao, Zhongming.

In: Advances in Bioinformatics, Vol. 2012, 509126, 2012.

Research output: Contribution to journalArticle

Ahmed, Syed Toufeeq ; Davulcu, Hasan ; Tikves, Sukru ; Nair, Radhika ; Zhao, Zhongming. / BioEve search : A novel framework to facilitate interactive literature search. In: Advances in Bioinformatics. 2012 ; Vol. 2012.
@article{6ccca29dde0942ab81b513a816846b6e,
title = "BioEve search: A novel framework to facilitate interactive literature search",
abstract = "Background. Recent advances in computational and biological methods in last two decades have remarkably changed the scale of biomedical research and with it began the unprecedented growth in both the production of biomedical data and amount of published literature discussing it. An automated extraction system coupled with a cognitive search and navigation service over these document collections would not only save time and effort, but also pave the way to discover hitherto unknown information implicitly conveyed in the texts. Results. We developed a novel framework (named {"}BioEve{"}) that seamlessly integrates Faceted Search (Information Retrieval) with Information Extraction module to provide an interactive search experience for the researchers in life sciences. It enables guided step-by-step search query refinement, by suggesting concepts and entities (like genes, drugs, and diseases) to quickly filter and modify search direction, and thereby facilitating an enriched paradigm where user can discover related concepts and keywords to search while information seeking. Conclusions. The BioEve Search framework makes it easier to enable scalable interactive search over large collection of textual articles and to discover knowledge hidden in thousands of biomedical literature articles with ease.",
author = "Ahmed, {Syed Toufeeq} and Hasan Davulcu and Sukru Tikves and Radhika Nair and Zhongming Zhao",
year = "2012",
doi = "10.1155/2012/509126",
language = "English (US)",
volume = "2012",
journal = "Advances in Bioinformatics",
issn = "1687-8027",
publisher = "Hindawi Publishing Corporation",

}

TY - JOUR

T1 - BioEve search

T2 - A novel framework to facilitate interactive literature search

AU - Ahmed, Syed Toufeeq

AU - Davulcu, Hasan

AU - Tikves, Sukru

AU - Nair, Radhika

AU - Zhao, Zhongming

PY - 2012

Y1 - 2012

N2 - Background. Recent advances in computational and biological methods in last two decades have remarkably changed the scale of biomedical research and with it began the unprecedented growth in both the production of biomedical data and amount of published literature discussing it. An automated extraction system coupled with a cognitive search and navigation service over these document collections would not only save time and effort, but also pave the way to discover hitherto unknown information implicitly conveyed in the texts. Results. We developed a novel framework (named "BioEve") that seamlessly integrates Faceted Search (Information Retrieval) with Information Extraction module to provide an interactive search experience for the researchers in life sciences. It enables guided step-by-step search query refinement, by suggesting concepts and entities (like genes, drugs, and diseases) to quickly filter and modify search direction, and thereby facilitating an enriched paradigm where user can discover related concepts and keywords to search while information seeking. Conclusions. The BioEve Search framework makes it easier to enable scalable interactive search over large collection of textual articles and to discover knowledge hidden in thousands of biomedical literature articles with ease.

AB - Background. Recent advances in computational and biological methods in last two decades have remarkably changed the scale of biomedical research and with it began the unprecedented growth in both the production of biomedical data and amount of published literature discussing it. An automated extraction system coupled with a cognitive search and navigation service over these document collections would not only save time and effort, but also pave the way to discover hitherto unknown information implicitly conveyed in the texts. Results. We developed a novel framework (named "BioEve") that seamlessly integrates Faceted Search (Information Retrieval) with Information Extraction module to provide an interactive search experience for the researchers in life sciences. It enables guided step-by-step search query refinement, by suggesting concepts and entities (like genes, drugs, and diseases) to quickly filter and modify search direction, and thereby facilitating an enriched paradigm where user can discover related concepts and keywords to search while information seeking. Conclusions. The BioEve Search framework makes it easier to enable scalable interactive search over large collection of textual articles and to discover knowledge hidden in thousands of biomedical literature articles with ease.

UR - http://www.scopus.com/inward/record.url?scp=84862275854&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84862275854&partnerID=8YFLogxK

U2 - 10.1155/2012/509126

DO - 10.1155/2012/509126

M3 - Article

VL - 2012

JO - Advances in Bioinformatics

JF - Advances in Bioinformatics

SN - 1687-8027

M1 - 509126

ER -