Daniel Blank Books

The book offers a critical examination of the manuscripts known as 'I. Feuerbach,' exploring their transformation into a canonical text since the 1920s. The first part details the political history of how these manuscripts were edited and translated, emphasizing their significance in Marx's theory of history. The second part provides an original English rendition of the fragmented texts, including previously overlooked corrections by Marx and Engels, allowing readers to engage with their collaborative thought process. An analytical introduction further elucidates the evolution of their ideas.

The book offers an in-depth exploration of the manuscripts known as 'I. Feuerbach,' originally overlooked by Marx and Engels. It details the political history behind their editorial transformation into a significant work on Marx's theory of history. The second part provides an innovative English rendition of the fragmented texts, highlighting previously ignored corrections made by the authors. An 'Analytical Introduction' reveals the evolution of their ideas through collaborative dialogue, inviting readers to engage with the intricacies of their thought processes.

Since the 1920s, scholars have promoted a set of manuscripts, long abandoned by Marx and Engels, to canonical status in book form as The German Ideology, and in particular its 'first chapter,' known as 'I.

In times of an ever increasing amount of data and a growing diversity of data types in different application contexts, there is a strong need for large-scale and ? exible indexing and search techniques. Metric access methods (MAMs) provide this flexibility, because they only assume that the dissimilarity between two data objects is modeled by a distance metric. Furthermore, scalable solutions can be built with the help of distributed MAMs. Both IF4MI and RS4MI, which are presented in this thesis, represent metric access methods. IF4MI belongs to the group of centralized MAMs. It is based on an inverted file and thus offers a hybrid access method providing text retrieval capabilities in addition to content-based search in arbitrary metric spaces. In opposition to IF4MI, RS4MI is a distributed MAM based on resource description and selection techniques. Here, data objects are physically distributed. However, RS4MI is by no means restricted to a certain type of distributed information retrieval system. Various application ? elds for the resource description and selection techniques are possible, for example in the context of visual analytics. Due to the metric space assumption, possible application fields go far beyond content-based image retrieval applications which provide the example scenario here.