CERMINE -- Automatic Extraction of Metadata and References from Scientific Literature

Tkaczyk, Dominika; Szostek, Pawel; Dendek, Piotr Jan; Fedoryszak, Mateusz; Bolikowski, Łukasz

doi:10.1109/das.2014.63

Cited by 30 publications

(9 citation statements)

References 13 publications

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“…In order to overcome the limitation of keyword-based fusion, other bibliometric entities from scientific articles, such as in-text citations (Shotton 2009), authors' affiliations, supplementary material (Tkaczyk et al 2014), sections, tables (Perez-Arriaga et al 2016), figures and funding agencies, are also considered and fused for scientometric research. Article Content Miner (ACM), for instance, employed multiple techniques to extract and analyse the important content of academic articles so as to evaluate the quality of the articles (Nuzzolese et al 2016).…”

Section: Scientometric Analysismentioning

confidence: 99%

Knowledge fusion through academic articles: a survey of definitions, techniques, applications and challenges

Wang

Saberi

et al. 2020

Scientometrics

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The ever growing volume of academic articles stresses the need for a new generation of knowledge management method to intelligently reuse the academic knowledge and facilitate the development of scientific research. Knowledge fusion (KF) serves a key element of such method addressing those needs, and breakthrough progress has taken place in the field of KF. This brings a great opportunity for the academic community to expedite the process of literature review and automatically retrieve the required knowledge from academic publications. Therefore, a survey reviewing the KF studies in terms of the related technologies and applications for valuable insights to reuse academic knowledge, which is missing from the state-of-the-art literature, is in need. Motivated to bridge this gap, this paper conducts a systematic survey reviewing the existing studies on KF, meanwhile discussing the opportunities and challenges of applying KF through academic articles. To this end, we revisit the definitions of knowledge and KF in the context of academic articles, and summarise the fusion patterns and their usage in existing applications. Furthermore, we review the techniques and applications of KF, especially those with academic articles as sources of knowledge. Finally, we discuss the challenges and future directions in order to bring new insights to researchers and practitioners to deepen their understanding of knowledge fusion and to develop versatile functions.

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Section: Scientometric Analysismentioning

confidence: 99%

Knowledge fusion through academic articles: a survey of definitions, techniques, applications and challenges

Wang

Saberi

et al. 2020

Scientometrics

View full text Add to dashboard Cite

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“…We also ran the same endto-end evaluation with the state-of-the-art CERMINE [12] software on the same hardware to compare performance both in terms of accuracy and processing speed. Results of this evaluation are shown in Table 4.…”

Section: End-to-end Citation Extractionmentioning

confidence: 99%

What Others Say About This Work? Scalable Extraction of Citation Contexts from Research Papers

Knoth

Gooch

Jack

2017

Research and Advanced Technology for Digital Libraries

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Abstract. This work presents a new, scalable solution to the problem of extracting citation contexts: the textual fragments surrounding citation references. These citation contexts can be used to navigate digital libraries of research papers to help users in deciding what to read. We have developed a prototype system which can retrieve, on-demand, citation contexts from the full text of over 15 million research articles in the Mendeley catalog for a given reference research paper. The evaluation results show that our citation extraction system provides additional functionality over existing tools, has two orders of magnitude faster runtime performance, while providing a 9% improvement in F-measure over the current state-of-the-art.

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“…Tkaczyk et al (2015) presents an overview about the state of the art in metadata extraction from scientific literature. Two of the more advanced and also open source tools in this field are CERMINE (Tkaczyk et al, 2014) and Grobid (Lopez, 2010).…”

Section: Reference Extractionmentioning

confidence: 99%

Extraction, analysis and publication of bibliographical references within an institutional repository

Hatop

2016

Library Hi Tech

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Purpose – The academic tradition of adding a reference section with references to cited and otherwise related academic material to an article provides a natural starting point for finding links to other publications. These links can then be published as linked data. Natural language processing technologies are available today that can perform the task of bibliographical reference extraction from text. Publishing references by the means of semantic web technologies is a prerequisite for a broader study and analysis of citations and thus can help to improve academic communication in a general sense. The paper aims to discuss these issues. Design/methodology/approach – This paper examines the overall workflow required to extract, analyze and semantically publish bibliographical references within an Institutional Repository with the help of open source software components. Findings – A publication infrastructure where references are available for software agents would enable additional benefits like citation analysis, e.g. the collection of citations of a known paper and the investigation of citation sentiment.The publication of reference information as demonstrated in this article is possible with existing semantic web technologies based on established ontologies and open source software components. Research limitations/implications – Only a limited number of metadata extraction programs have been considered for performance evaluation and reference extraction was tested for journal articles only, whereas Institutional Repositories usually do contain a large number of other material like monographs. Also, citation analysis is in an experimental state and citation sentiment is currently not published at all. For future work, the problem of distributing reference information between repositories is an important problem that needs to be tackled. Originality/value – Publishing reference information as linked data are new within the academic publishing domain.

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CERMINE -- Automatic Extraction of Metadata and References from Scientific Literature

Cited by 30 publications

References 13 publications

Knowledge fusion through academic articles: a survey of definitions, techniques, applications and challenges

Knowledge fusion through academic articles: a survey of definitions, techniques, applications and challenges

What Others Say About This Work? Scalable Extraction of Citation Contexts from Research Papers

Extraction, analysis and publication of bibliographical references within an institutional repository

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