A Lightweight Approach to Semantic Annotation of Research Papers

by: Nicola Zeni, Nadzeya Kiyavitskaya, Luisa Mich, John Mylopoulos, James Cordy

Natural Language Processing and Information Systems (2007), pp. 61-72.

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Abstract

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.

@incollection{citeulike:2535886, abstract = {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.}, author = {Zeni, Nicola and Kiyavitskaya, Nadzeya and Mich, Luisa and Mylopoulos, John and Cordy, James }, citeulike-article-id = {2535886}, doi = {10.1007/978-3-540-73351-5\_6}, journal = {Natural Language Processing and Information Systems}, keywords = {nlp, semanticweb}, pages = {61--72}, posted-at = {2008-04-07 15:21:18}, priority = {2}, title = {A Lightweight Approach to Semantic Annotation of Research Papers}, url = {http://dx.doi.org/10.1007/978-3-540-73351-5\_6}, year = {2007} }

RIS record

TY - CHAP ID - citeulike:2535886 L3 - citeulike-article-id:2535886 TI - A Lightweight Approach to Semantic Annotation of Research Papers JF - Natural Language Processing and Information Systems SP - 61 EP - 72 N2 - 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. KW - nlp KW - semanticweb AU - Zeni, Nicola AU - Kiyavitskaya, Nadzeya AU - Mich, Luisa AU - Mylopoulos, John AU - Cordy, James PY - 2007/// UR - http://dx.doi.org/10.1007/978-3-540-73351-5_6 ER -

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