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International Journal of Metadata, Semantics and Ontologies


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International Journal of Metadata, Semantics and Ontologies (2 papers in press)


Regular Issues


  • Extraction and visualisation of citation relationships and its attributes for papers in PDF   Order a copy of this article
    by 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, which allows an easier recognition of papers references, in-text citations, citation context, etc. As a result, one can parse an extended set of citation data, including a location of citations in a research papers 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 semantics and other attributes. Formatting these data according to the W3C Web Annotation Data Model and integrating the data with some annotation tools, we visualise the citation relationships, their semantic attributes, related statistics and some other data as annotations to content of PDF documents available for users of a research information system.
    Keywords: research information system; PDF.js; PDF to JSON conversion; citation relationships; semantic attributes; citation content analysis; visualisation.

  • A method for examining metadata quality in open research datasets using the OAI-PMH and SQL queries: the case of the Dublin Core Subject element and suggestions for user-centred metadata annotation design   Order a copy of this article
    by Panos Balatsoukas, Dimitris Rousidis, Emmanouel Garoufallou 
    Abstract: Open research datasets are growing in terms of volume rapidly. Despite the fact that metadata play an important role for the management of research datasets and data repositories, several factors - such as the big volume of data and its complex lifecycles, as well as operational constraints related to financial resources and human factors - may impede the quality of metadata. Poor quality metadata can have a negative impact both on the way research datasets are retrieved, shared and used by scientists, and also on the way research data repositories are managed and audited. The aim of the research reported in this paper was to perform a descriptive analysis of the Dublin Cores Subject metadata element and identify its quality problems, if any, in the context of the Dryad research data repository. In order to address this aim, a total of 4557 metadata packages and 13,638 metadata data files were analysed following a novel data-preprocessing method using SQL queries. The findings showed emerging trends about the subject coverage of the repository (e.g. the most popular subjects and the authors that contributed the most to these subjects). Also, quality problems related to the lack of controlled vocabulary and standardisation were identified, such as the inconsistent use of singular and plural forms, adjectives and synonyms. This study has both practical and methodological implications for the evaluation of metadata and the improvement of the quality of the research data annotation process in open research data repositories.
    Keywords: big data; Dublin Core; data quality; open access repositories; metadata; digital curation; user-centred design; open research datasets; Dryad; metadata quality; OAI-PMH; SQL queries.