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 RealTextlex2 framework offers a scalable platform to transform these triples to natural language sentences using lexicalization ...

We develop a methodological framework to process theories on routines by leveraging large volumes of digital trace data following critical realism principles. Our begins with collecting and preprocessing data, corresponding the empirically observed experience realism. In second third steps framework, we identify finite set similar repetitive patterns (routines) through computational analysis. a...

The GroupMe! system provides a novel approach to social bookmarking. It enables users to create groups of arbitrary multimedia web resources and visualizes resources according to their media type. Therewith, content of a resource can be grasped immediately. Hence, GroupMe! groups form web sites – comparable to Wikipedia pages – that users visit in order to gather information about corresponding...

Mining of transliterations from comparable or parallel text can enhance natural language processing applications such as machine translation and cross language information retrieval. This paper presents an enhanced transliteration mining technique that uses a generative graph reinforcement model to infer mappings between source and target character sequences. An initial set of mappings are lear...