Lexicalizing DBpedia with Realization Enabled Ensemble Architecture: RealText lex2 Approach

Abstract. DBpedia encodes massive amounts of open domain knowledge and is growing by accumulating more triples at the same rate as Wikipedia. However, the applications often require natural language formulations of these triples to present the information as a natural text. The RealText lex2 framework offers a scalable platform to transform these triples to natural language sentences using lexicalization patterns. The framework has evolved from its previous version (RealText lex ) and is comprised of four lexicalization pattern mining modules which derive patterns from a training triple collection. These patterns can be then applied on the new triples given that they satisfy a defined set of constraints

Topologic, geometric, or graph-theoretic properties of skeletal curves

Medical imaging is still mainly focusing on visualization and data communication. However, applications of digital image analysis methods in biomedical research are also increasing, due to demands and developments in hardware, image analysis software, and methodology. Shape simplification procedures are already important modules of software packages. The literature offers a large number of papers about algorithms, which aim at deforming images into topologically equivalent images; the latter ones should represent the shape of complex objects in a simplified form. This thesis reviews and extends the diversity of approaches published in this area with respect to properties of algorithms and characterizations of simple points. It contributes in particular with new theoretical results. Topologic thinning methods deliver digital curves (skeletons), which are used to describe objects in digital images. The thesis shows that different applications require different constraints and adjustments of general thinning or curve analysis procedures. It also studies the effect of increased grid resolution (e.g., trying to utilize progress in hardware) for the potential accuracy of measurements based on skeletons. The thesis illustrates results by contributing to one particular application (i.e., analysis of astrocytes in human brain tissue), for example by verifying the efficiency of calculated features for classification.

Theory of digital manifolds and its application to medical imaging

ABSTRACT: Digital manifolds play an important role in computer graphics, 3D image analysis, volume modeling, process visualization, and so forth — in short, in all areas where discrete multidimensional data need to be represented, visualized, processed, or analyzed. The objects in these areas often represent surfaces and volumes of real objects. In this paper we discuss some applications of digital curves and surfaces to medical imaging, implied by theoretical results on digital manifolds.