Semantic Attributes for Citation Relationships: Creation and Visualization View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017-11-14

AUTHORS

Sergey Parinov

ABSTRACT

This paper presents a method to process a content of research papers in binary PDF format at a server side that gives research information systems new features of citation content analysis. This method efficiently generates JSON versions of PDF documents that allows an easier recognition of papers’ references, in-text references, citation context, etc. As a result, one can parse an extended set of citation data, including a location of citations in a research paper’s structure, frequency of mentioning for the same references, style of reference mentioning and so on. Based on these data we upgrade traditional citation relationships by adding some semantic attributes. Formatting these semantic data according W3C Web Annotation Data Model and integrating the data with some annotation tools, we visualize citation relationships, its semantic attributes and related statistics as annotations for readers of PDF documents from a research information system. More... »

PAGES

286-299

Book

TITLE

Metadata and Semantic Research

ISBN

978-3-319-70862-1
978-3-319-70863-8

From Grant

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-70863-8_28

DOI

http://dx.doi.org/10.1007/978-3-319-70863-8_28

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092658170


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