As our ability to store information increases, the mechanisms we employ to access that information become ever more important. In this paper, we present Archosum, a prototype of an organizational system that attempts to encapsulate the benefits of both hierarchical and keyword systems. By introducing abstract entities, Archosum provides a simple interface with which users can build and maintain...

ODUCTION ar sensors with dual-polarization capability etter understanding and characterization of hazards. Advanced knowledge-based hazard algorithms would require better knowledge of ttering characteristics of hydrometeors such as , hailstones, and snowflakes. Especially, characteristics becomes important for utilize phase-array dual-polarization radar Traditionally, theoretical approaches [1]...

This article presents a state of the art and a comparison of unsupervised methods for automatic keywords extraction from documents. We evaluate several methods from the literature on two sets of documents by comparing the keywords extracted and those initially associated with documents. We found that the best method (the one that retrieves keywords the closest to the authors’ keywords) is based...

BACKGROUND Literature mining of gene-gene interactions has been enhanced by ontology-based name classifications. However, in biomedical literature mining, interaction keywords have not been carefully studied and used beyond a collection of keywords. METHODS In this study, we report the development of a new Interaction Network Ontology (INO) that classifies >800 interaction keywords and incorp...

volar lunate dislocation is the fourth and last stage of perilunate dislocation. it is an uncommon injury of the wrist and its bilateral occurrence is so rare that only one case has been reported in the literature. we are presenting the second case of this kind of wrist injury, its treatment and outcome. keywords : lunate bone, perilunate, volar plate, bilateral, dislocation.

We describe a method for generating sentences from “keywords” or “headwords”. This method consists of two main parts, candidate-text construction and evaluation. The construction part generates text sentences in the form of dependency trees by using complementary information to replace information that is missing because of a “knowledge gap” and other missing function words to generate natural ...