title: OntoGene web services for biomedical text mining.
abstract: Text mining services are rapidly becoming a crucial component of various knowledge management pipelines, for example in the process of database curation, or for exploration and enrichment of biomedical data within the pharmaceutical industry. Traditional architectures, based on monolithic applications, do not offer sufficient flexibility for a wide range of use case scenarios, and therefore open architectures, as provided by web services, are attracting increased interest. We present an approach towards providing advanced text mining capabilities through web services, using a recently proposed standard for textual data interchange (BioC). The web services leverage a state-of-the-art platform for text mining (OntoGene) which has been tested in several community-organized evaluation challenges,with top ranked results in several of them.
authors.forename: Fabio
authors.initials: F
authors.lastname: Rinaldi
authors.forename: Simon
authors.initials: S
authors.lastname: Clematide
authors.forename: Hernani
authors.initials: H
authors.lastname: Marques
authors.forename: Tilia
authors.initials: T
authors.lastname: Ellendorff
authors.forename: Martin
authors.initials: M
authors.lastname: Romacker
authors.forename: Raul
authors.initials: R
authors.lastname: Rodriguez-Esteban
mesh_terms: D057225:Data Mining; D055808:Drug Discovery; D063369:Knowledge Discovery; D012984:Software