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Recognising document components in XML-based academic articles

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David ShottonAuthors Info & Claims

DocEng '13: Proceedings of the 2013 ACM symposium on Document engineering

Pages 181 - 184

https://doi.org/10.1145/2494266.2494319

Published: 10 September 2013 Publication History

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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.

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Cited By

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Jiang YLi NTian Y(2019)Understanding the Structure of Streaming Documents based on Neural NetworkProceedings of the 2019 8th International Conference on Computing and Pattern Recognition10.1145/3373509.3373568(30-38)Online publication date: 23-Oct-2019
https://dl.acm.org/doi/10.1145/3373509.3373568
Le CLe TJeong H(2018)Geographic Information Systems (GIS) Based Visual Analytics Framework for Highway Project Performance EvaluationAdvances in Informatics and Computing in Civil and Construction Engineering10.1007/978-3-030-00220-6_86(719-724)Online publication date: 4-Oct-2018
https://doi.org/10.1007/978-3-030-00220-6_86
Peroni SOsborne FDi Iorio ANuzzolese APoggi FVitali FMotta E(2017)Research Articles in Simplified HTML: a Web-first format for HTML-based scholarly articlesPeerJ Computer Science10.7717/peerj-cs.1323(e132)Online publication date: 2-Oct-2017
https://doi.org/10.7717/peerj-cs.132
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Index Terms

Recognising document components in XML-based academic articles
1. Applied computing
  1. Document management and text processing
    1. Document preparation
      1. Markup languages
2. Information systems
  1. World Wide Web
    1. Web data description languages
      1. Markup languages

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Published In

DocEng '13: Proceedings of the 2013 ACM symposium on Document engineering

September 2013

582 pages

ISBN:9781450317894

DOI:10.1145/2494266

Conference Chair:
Simone Marinai
University of Florence, Italy
,
Program Chair:
Kim Marriott
Monash University, Australia

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 10 September 2013

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DocEng '13: ACM Symposium on Document Engineering 2013

September 10 - 13, 2013

Florence, Italy

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DocEng '13 Paper Acceptance Rate 16 of 50 submissions, 32%;

Overall Acceptance Rate 194 of 564 submissions, 34%

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Jiang YLi NTian Y(2019)Understanding the Structure of Streaming Documents based on Neural NetworkProceedings of the 2019 8th International Conference on Computing and Pattern Recognition10.1145/3373509.3373568(30-38)Online publication date: 23-Oct-2019
https://dl.acm.org/doi/10.1145/3373509.3373568
Le CLe TJeong H(2018)Geographic Information Systems (GIS) Based Visual Analytics Framework for Highway Project Performance EvaluationAdvances in Informatics and Computing in Civil and Construction Engineering10.1007/978-3-030-00220-6_86(719-724)Online publication date: 4-Oct-2018
https://doi.org/10.1007/978-3-030-00220-6_86
Peroni SOsborne FDi Iorio ANuzzolese APoggi FVitali FMotta E(2017)Research Articles in Simplified HTML: a Web-first format for HTML-based scholarly articlesPeerJ Computer Science10.7717/peerj-cs.1323(e132)Online publication date: 2-Oct-2017
https://doi.org/10.7717/peerj-cs.132
Peroni S(2017)Automating semantic publishingData Science10.3233/DS-170012(1-19)Online publication date: 17-Oct-2017
https://doi.org/10.3233/DS-170012
Ahmad RAfzal MQadir M(2016)Information Extraction from PDF Sources Based on Rule-Based System Using Integrated FormatsSemantic Web Challenges10.1007/978-3-319-46565-4_23(293-308)Online publication date: 9-Oct-2016
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Nuzzolese APeroni SReforgiato Recupero D(2016)ACM: Article Content Miner for Assessing the Quality of Scientific OutputSemantic Web Challenges10.1007/978-3-319-46565-4_22(281-292)Online publication date: 9-Oct-2016
https://doi.org/10.1007/978-3-319-46565-4_22
Di Iorio APeroni SVitali FZingoni J(2014)Semantic lenses to bring digital and semantic publishing togetherProceedings of the 4th International Conference on Linked Science - Volume 128210.5555/2878584.2878586(12-23)Online publication date: 19-Oct-2014
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Peroni SPeroni S(2014)ConclusionsSemantic Web Technologies and Legal Scholarly Publishing10.1007/978-3-319-04777-5_7(257-262)Online publication date: 21-Jun-2014
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Di Iorio APeroni SPoggi FVitali F(2014)Dealing with structural patterns of XML documentsJournal of the Association for Information Science and Technology10.1002/asi.2308865:9(1884-1900)Online publication date: 1-Sep-2014
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Ciancarini PIorio ANuzzolese APeroni SVitali F(2013)Semantic Annotation of Scholarly Documents and CitationsProceeding of the XIIIth International Conference on AI*IA 2013: Advances in Artificial Intelligence - Volume 824910.1007/978-3-319-03524-6_29(336-347)Online publication date: 4-Dec-2013
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