This study aims to understand the contextualization of hadith regarding tolerance religious and cultural diversity with a focus on meaning text, historical context at time Prophet hadiths . Data analysis was in form content analysis. It found that first, there were six editorials using word samaha which means compassion, generosity is equated patient. Second, prophet's attitude recorded buildin...

This paper develops a solution to the video indexing problem by investigating a categorization method that transcribes audio content through Automatic Speech Recognition (ASR) combined with Dynamic Contextualization (DC). The suggested approach applies genome pattern matching algorithms with computational summarization to build a database infrastructure that provides an indexed summary of the o...

Current E-Learning solutions are not sufficiently aware of the context of the learner, i.e. the individual characteristics, the organization and the work processes and tasks. This can be achieved by modular learning objects and semantical metadata for their contextualization. This allows to deliver learning material that is relevant to the current situation of the learner. This paper presents t...

In this paper we describe an approach to tweet contextualization developed in the context of INEX QA track. The task is to provide a context up to 500 words to a tweet. The summary should be an extract from the Wikipedia. Our approach is based on the index which includes not only lemmas, but also named entities. Sentence retrieval is based on standard TF-IDF measure enriched by named entity rec...

This paper presents an experiment of statistical word stemming based on a xality measurements. These measurements quantify three characteristics of language. In this experiment we tested one strategy of stemming with three di erent sizes of training data. The developed stemmer was used by the automatic summarization system Cortex to preprocess input texts and produce readable summaries. All sum...