Terrier is a highly flexible, efficient, and effective open source search engine, readily deployable on large-scale collections of documents. Terrier implements state-of-the-art indexing and retrieval functionalities, and provides an ideal platform for the rapid development and evaluation of large-scale retrieval applications.
Terrier is open source, and is a comprehensive, flexible and transparent platform for research and experimentation in text retrieval. Research can easily be carried out on standard TREC and CLEF test collections.
Terrier is written in Java, and is developed at the School of Computing Science, University of Glasgow.
FactForge represents a reason-able view to the web of data. It aims to allow users to find resources and facts based on the semantics of the data, like web search engines index WWW pages and facilitate their usage.
Jena is a Java framework for building Semantic Web applications. It provides a programmatic environment for RDF, RDFS and OWL, SPARQL and includes a rule-based inference engine.
Jena is open source and grown out of work with the HP Labs Semantic Web Programme.
Semantics-preserving word cloud visulization tool. A word cloud consists of the most important words in that document. Each word is printed in a given font and scaled by a factor roughly proportional to its importance. The printed words are arranged without overlap and tightly packed into rectangular shape. Your word clouds can be tweaked with various fonts, layouts, and color schemes. Read the description for more details.
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