[Abstract: Ontologies greatly enhance our ability to machine process digital documents and aid in knowledge engineering. They also augment search algorithms. LOGS, Lightweight universal Ontology Generation and exploitation architectureS, and its sample application, the Eagle, took a step toward automatic ontology generation, through a fast, lightweight approach. Sanskritology and Indology are i...

a r t i c l e i n f o Text detection is important in the retrieval of texts from digital pictures, video databases and webpages. However, it can be very challenging since the text is often embedded in a complex background. In this paper, we propose a classification-based algorithm for text detection using a sparse representation with discriminative dictionaries. First, the edges are detected by...

Owing to the growing amount of digital information stored in natural language, systems that automatically process text are of crucial importance and extremely useful. There is currently a considerable amount of research work (Sebastiani, 2002; Crammer et al., 2003) using a large variety of machine learning algorithms and other Knowledge Discovery in Databases (KDD) methods that are applied to T...

Any study of standards is complicated by the existence of numerous meanings of the term, which are often used virtually interchangeably. A few of these uses are most relevant to this book. It appears that the term fi rst came into general use in English at the Battle of the Standard in 1138. According to a contemporary observer, Richard of Hexham ([1138] 1988, 67), in this battle between the En...