Advertisement
Published in:
2013 | OriginalPaper | Chapter
Characterising Citations in Scholarly Documents: The CiTalO Framework
Authors : Angelo Di Iorio, Andrea Giovanni Nuzzolese, Silvio Peroni
Published in: The Semantic Web: ESWC 2013 Satellite Events
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.