Now showing items 1-6 of 6
Comparing hierarchical mathematical document clustering against the Mathematics Subject Classification tree
Mathematical publications are often labelled with Mathematical Subject Classification codes. These codes are grouped in a treelike hierarchy created by experts. In this paper we posit that this hierarchy is highly correlated ...
Simulating Phase Transition Dynamics on Non-trivial Domains
(Lecture Notes in Computer Science, 2013)
Our goal is to investigate the influence of the geometry and topology of the domain Ω on the solutions of the phase transition and other diffusion-driven phenomena in Ω, modeled e.g. by the Allen-Cahn, Cahn-Hilliard, ...
Methodology for evaluating citation parsing and matching
Bibliographic references between scholarly publications contain valuable information for researchers and developers involved with digital repositories. They are indicators of topical similarity between linked texts, impact ...
Author disambiguation in the YADDA2 software platform
SYNAT platform powered by the YADDA2 architecture has been extended with the Author Disambiguation Framework and the Query Framework. The former framework clusters occurrences of contributor names into identities of authors, ...
Data model for analysis of scholarly documents in the MapReduce paradigm
At CEON ICM UW we are in possession of a large collection of scholarly documents that we store and process using MapReduce paradigm. One of the main challenges is to design a simple, but effective data model that fits ...
Hierarchical, multi-label classification of scholarly publications: modifications of ML-KNN algorithm
One of the common problems when dealing with digital libraries is lack of classification codes in some of the documents. In the following publication we deal with this problem in a multi-label, hierarchical case of Mathematics ...