Status: Past project

Project Description:
SemNews monitors different RSS News Sources and provides a structured representation of the meaning of the news. The meaning is extracted using OntoSem, a Natural Language Processing system that uses a constructed world model or an Ontology.

The extracted meaning from the RSS descriptions of the news articles are then converted into Semantic Web representation such as RDF. This is also stored in a Redland Triple store and lets users perform semantic queries over the documents. This enables them to search for information that would otherwise not be easy to find using simple keyword based search. It also makes available important and live new related automatically extracted meta-data and semantics to agents by publishing it in RDF.

The published RDF documents are also indexed by Swoogle, a semantic web search engine.

Start Date: January 2005

End Date: December 2005

Principal Investigator:
Sergei Nirenburg

Students:
Akshay Java

There are 3 associated publications:
 Click here for a full list...

There is 1 associated resource:  Hide the list...

1. SemNews AAAI 06 poster, Presentation.

Research Areas:
 Knowledge Representation and Reasoning
 Language technology
 Semantic Web
 Web based information systems