Bubblbu / frictionless-metrics-in-context

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Research: Citation data models #5

Closed Bubblbu closed 3 years ago

Bubblbu commented 4 years ago

Feel free to comment and contribute in the issues. I will incorporate any input into this comment here.


The Open Citations Data Model (overview)

Full paper description https://doi.org/10.6084/m9.figshare.3443876

The OCDM is a complex ontology that builds on other existing bibliographic ontologies in order to describe citational relationships.

Still a focus on research documents and textual citations which is reasonable considering the focus on scholarly citations. However, no way to address questions of capture context.

Interesting:

The DataCite Metadata Schema (more here)

The DataCite Metadata Schema is a list of core metadata properties chosen for an accurate and consistent identification of a resource for citation and retrieval purposes, along with recommended use instructions. The resource that is being identified can be of any kind, but it is typically a dataset. We use the term ‘dataset’ in its broadest sense.

Also another related ontology which implements the DataCite metadata schema in RDL for the SPAR ontologies: SPAR DataCite Ontology

Crossref Event Data (documentation)

TBA

Microsoft Academic (add link)

Their FAQ page. Article about the underlying data model: link to PDF

In this work, we model the real-life academic communication activities as a heterogeneous graph consisting of six types of entities: field of study, author, institution (affiliation of author), paper,venue (journal and conference series, e.g. WWW, SIGIR, KDD etc.) and event (conference instances, e.g. WWW 2015). The relationship between these entities is shown in Fig. 1(a). These entity relationships are rather intuitive. (For instance, the fact that papers get published in journals/conferences justifies the edge between pa-per and venue nodes in the graph.) We describe how we obtain the raw data and organize them into the connected graph schema in the following subsections

Interesting:

Wikicite (add link)

TBA