Date & Time
Jul 23, 2024
17:30 in India
Description
Bibliographic
citation, i.e. referring from a citing entity to the cited one, is one of the
most critical activities of an author in producing any bibliographic work.
Indeed, acknowledging the sources we use to back our research stands at the
very core of the scholarly enterprise. The network of citations created by
combining citation information from many academic articles, books, proceedings,
etc., is a source of rich information for scholars: a PhD student surveying the
literature for her thesis exploits citations to find relevant articles; a
senior researcher deepening his research exploits citations to continuously
find new material; a reviewer reads citations to understand if the citing works
are up-to-date and well-connected to others; a professor writing a project
proposal uses citations to spot recent works and helpful links; and several
other examples could be listed here. However, the reasons behind such acts of
citing are manifold. Usually, it is because the author has gained assistance of
some sort, perhaps in the form of background information, ideas, methods or
data, from the cited previously published works and wishes to acknowledge this.
Sometimes, citations may be made because the citing works review, critique or
refute previous works. In this seminar, I will introduce existing data models
for classifying citation intents (or functions) that we are using as a starting
point in the context of the GraspOS project and will briefly show the tool we
are developing to extract such citation semantics from scholarly articles in
PDF format.
