One of the most important needs when dealing with bibliographic data is to aggregate and manipulate data according to different goals and requirements by focusing on a variety of different features extracted from
The application of online analytical processing (OLAP) technology to bibliographic databases is addressed. We show that OLAP
tools can be used by librarians for periodic and ad hoc reporting, quality assurance, and data integrity checking, as well
as by research policy makers for monitoring the development of science and evaluating or comparing disciplines, fields or
research groups. It is argued that traditional relational database management systems, used mainly for day-to-day data storage
and transactional processing, are not appropriate for performing such tasks on a regular basis. For the purpose, a fully functional
OLAP solution has been implemented on Biomedicina Slovenica, a Slovenian national bibliographic database. We demonstrate the system's usefulness by extracting data for studying a selection
of scientometric issues: changes in the number of published papers, citations and pure citations over time, their dependence
on the number of co-operating authors and on the number of organisations the authors are affiliated to, and time-patterns
of citations. Hardware, software and feasibility considerations are discussed and the phases of the process of developing
bibliographic OLAP applications are outlined.
The documentation of bibliography provides us with a very detailed set of parameters that enable us to map the bibliographical research in the study of Hebrew printing. It enables quantification of parameters such
Authors:Dalibor Fiala, François Rousselot, and Karel Ježek
In this paper, we present several modifications of the classical PageRank formula adapted for bibliographic networks. Our
versions of PageRank take into account not only the citation but also the co-authorship graph. We verify the viability of
our algorithms by applying them to the data from the DBLP digital library and by comparing the resulting ranks of the winners
of the ACM E. F. Codd Innovations Award. Rankings based on both the citation and co-authorship information turn out to be
“better” than the standard PageRank ranking.
The paper offers additions to Michael Knüppel’s bibliography from 2017 on the Hungarian Orientalist Ármin Vámbéry (1832–1913). Following Knüppel’s guidelines, the bibliographical entries are given in three sections: publications by Vámbéry himself, works about him, and finally reviews of his works.
The purpose of this paper is to define a pseudo-metric on bibliographic entities to measure the distance in content between them. An example of this pseudo-metric is given in the case that the content of the bibliographic material is characterised by means of UDC-numbers.
Time dependence of bibliographic scattering is not at all understood. There are not many studies to establish any relation
between growth of a bibliography over time and scattering. In this empirical study three different types of bibliographies
have been taken. Each bibliography has been partitioned in different temporal periods (according as the particular bibliography
should allow). The complete bibliography and the partitions have then been used to draw corresponding Bradford bibliographs
whose natures have been studied. No conclusive relation between growth and scattering could be drawn except that the nature
of the bibliograph depends on the value of concentration that is the ratio of the number of items and the number of sources
in the bibliography. The paper shows that much needs to be done in this area and partition studies may be a useful technique.
Authors:Anna Berhidi, Katalin Horváth, Gabriella Horváth, and Lívia Vasas
Process [Internet]. Thomson Reuters, c2012.
Accessed: March 18, 2013
Hungarian Scientific Bibliography Database. Non