Characterising citations in scholarly documents: The CiTalO framework

The reasons why an author cites other publications are varied: an author can cite previous works to gain assistance of some sort in the form of background information, ideas, methods, or to review, critique or refute previous works. The problem is that the best possible way to retrieve the nature of citations is very time consuming: one should read article by article to assign a particular characterisation to each citation. In this paper we propose an algorithm, called CiTalO, to infer automatically the function of citations by means of Semantic Web technologies and NLP techniques. We also present some preliminary experiments and discuss some strengths and limitations of this approach. © Springer-Verlag 2013.

Publication type: 
Contributo in atti di convegno
Author or Creator: 
Di Iorio, Angelo
Nuzzolese, Andrea Giovanni
Peroni, Silvio
Publisher: 
Springer, Berlin , Germania
Source: 
ESWC 2013 Satellite Events: The Semantic Web, pp. 66–77, 2013
Date: 
2013
Resource Identifier: 
http://www.cnr.it/prodotto/i/301640
https://dx.doi.org/10.1007/978-3-642-41242-4_6
info:doi:10.1007/978-3-642-41242-4_6
http://www.scopus.com/inward/record.url?eid=2-s2.0-84893767383&partnerID=q2rCbXpz
Language: 
Eng