Recognising document components in XML-based academic articles

Authors:
Angelo Di Iorio;Silvio Peroni;Francesco Poggi;Fabio Vitali;David Shotton
Affiliations:
University of Bologna, Bologna, Italy;University of Bologna, Bologna, Italy;University of Bologna, Bologna, Italy;University of Bologna, Bologna, Italy;University of Oxford, Oxford, United Kingdom
Venue:
Proceedings of the 2013 ACM symposium on Document engineering
Year:
2013

Citing 6
Cited 0

AUTOBIB: Automatic Extraction of Bibliographic Information on the Web

IDEAS '04 Proceedings of the International Database Engineering and Applications Symposium
From Proteins to Fairytales: Directions in Semantic Publishing

IEEE Intelligent Systems
Utopia documents

Bioinformatics
Multi-layer markup and ontological structures in Akoma Ntoso

AICOL-I/IVR-XXIV'09 Proceedings of the 2009 international conference on AI approaches to the complexity of legal systems: complex systems, the semantic web, ontologies, argumentation, and dialogue
A first approach to the automatic recognition of structural patterns in XML documents

Proceedings of the 2012 ACM symposium on Document engineering
Logical Structure Recovery in Scholarly Articles with Rich Document Features

International Journal of Digital Library Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Recognising textual structures (paragraphs, sections, etc.) provides abstract and more general mechanisms for describing documents independent of the particular semantics of specific markup schemas, tools and presentation stylesheets. In this paper we propose an algorithm that allows us to identify the structural role of each element in a set of homogeneous scientific articles stored as XML files.