A lightweight approach to semantic annotation of research papers

被引：0

作者：

Zeni, Nicola ^{[1
]}

Kiyavitskaya, Nadzeya ^{[1
]}

Mich, Luisa ^{[2
]}

Mylopoulos, John ^{[1
]}

Cordy, James R. ^{[3
]}

机构：

[1] Univ Trento, Dept Informat & Comunicat Technol, Trento, Italy

[2] Univ Trento, Dept Comp & Management Sci, Trento, Italy

[3] Queens Univ, Sch Comp, Kingston, ON, Canada

来源：

NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS, PROCEEDINGS | 2007年 / 4592卷

关键词：

bibliography generation; semantic annotation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a novel application of a semantic annotation system, named Cerno, to analyze research publications in electronic format. Specifically, we address the problem of providing automatic support for authors who need to deal with large volumes of research documents. To this end, we have developed Biblio, a user-friendly tool based on Cerno. The tool directs the user's attention to the most important elements of the papers and provides assistance by generating automatically a list of references and an annotated bibliography given a collection of published research articles. The tool performance has been evaluated on a set of papers and preliminary evaluation results are promising. The backend of Biblio uses a standard relational database to store the results.

引用

页码：61 / +

页数：2

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