Arabic news articles in electronic collections are difficult to work with. Browsing by category is rarely supported. While helpful machine learning methods have been applied successfully to similar situations for English ...

This module addresses the basic concepts of the open source Apache Solr platform that is specifically designed for indexing documents and executing searches.

The module covers basic explanation of Image Retrieval, various techniques used, and its working in existing systems.

This module introduces several conceptual modules characterizing the digital library domain. Students will be provided with a high level yet comprehensive knowledge of several conceptual frameworks and models, a unifying ...

This presentation describes the Crisis, Tragedy, and Recovery Network's digital library development and web archiving activities in Qatar and Virginia Tech. The presentation covers project goals, archiving tasks, dissemination ...

This presentation outlines the goals of the Crisis, Tragedy and Recovery Network (CTRnet) project. These goals include researching the problems of integrating content, community, services related to crisis, tragedies, and ...

The Virginia Tech Department of Computer Science (VT CS) and the University of North Carolina at Chapel Hill's School of Information and Library Science (UNC SILS) have launched a digital library curriculum development ...

This presentation introduces the Open Archives Initiative (OAI) and discusses the OAI philosophy, repository perspective, and the future of open archiving.

This paper explains for the Arabic language, how to extract named entities and topics from news articles. Due to the lack of high quality tools for Named Entity Recognition (NER) and topic identification for Arabic, we ...