There is a notable interest in extending probabilistic generative modeling principles to accommodate for more complex structured data types. In this paper we develop a generative ...
Interpreting legacy XML documents is a great challenge for realizing the vision of the Semantic Web (SW). This paper presents an algorithm to transform XML data into RDF- foundati...
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Life science researchers frequently need to query large protein data sets in a variety of different ways. Protein data sets have a rich structure that includes its primary structu...
The within-species genetic variation due to recombinations leads to a mosaic-like structure of DNA. This structure can be modeled, e.g. by parsing sample sequences of current DNA w...