This submission describes the work of the Solr team as part of the IDEAL project with the main goal of designing and developing a distributed search infrastructure. It includes the project reports, final presentations, as ...

This project is part of a wider research project whose focus is developing an information retrieval and analysis system in support of the IDEAL (Integrated Digital Event Archiving and Library) project. The search engine ...

The collection management portion of the information retrieval system has three major tasks. The first task is to perform incremental update of the new data flow from the tweet MySQL database to HDFS and then to HBase. ...

In the grand scheme of a large Information Retrieval project, the work of our team was that of performing text classification on both tweet collections and their associated webpages. In order to accomplish this task, we ...

The IDEAL (Integrated Digital Event Archiving and Library) project aims to ingest tweets and web-based content from social media and the web and index it for retrieval. One of the required milestones for a graduate-level ...

The students of CS5604 (Information Retrieval and Storage), have been building an Information Retrieval System based on tweet and webpage collections of the Digital Library Research Laboratory (DLRL). The students have ...

The Integrated Digital Event Archiving and Library (IDEAL) project of Virginia Tech provides services for searching, browsing, analysis, and visualization of over 1 billion tweets and over 65 million webpages. The project ...

The Digital Library Research Laboratory (DLRL) has collected over 1.5 billion tweets and millions of webpages for the Integrated Digital Event Archiving and Library (IDEAL) and Global Event Trend Archive Research (GETAR) ...

Arabic language is a very rich language with complex morphology, so it has a very different and difficult structure than other languages. So it is important to build an Arabic Text Classifier (ATC) to deal with this complex ...

The notion of graphs or networks is sufficiently pervasive since it can be used to model various types of data sources. Social, biological, and other networks capture the underlying structural and relational properties. ...