Semantic Web Dog Food

Presented at: 6th International and 2nd Asian Semantic Web Conference (ISWC2007+ASWC2007)

by Horacio Saggion, Kalina Bontcheva, Adam Funk, Diana Maynard

Business Intelligence (BI) requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers or feed statistical BI models and tools. The massive amount of information available to business analysts makes information extraction and other natural language processing tools key enablers for the acquisition and use of that semantic information. We describe the application of ontology-based extraction and merging in the context of a practical e-business application for the EU MUSING Project where the goal is to gather international company intelligence and country/region information. The results of our experiments so far are very promising and we are now in the process of bulding a complete end-to-end solution.

Ontology-based Information Extraction for Business Intelligence was presented at this event.

Keywords: Application software, Finance, Ontology (computer science), Semantic Web, Tool

Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc-aswc/2007/tracks/in-use/papers/837
Same as: http://iswc2007.semanticweb.org/papers/837.pdf
Same as: http://revyu.com/things/iswc-aswc-2007-in-use-paper-837-ontologybased-information

Explore this resource elsewhere:

• on Snorql
• on VisiNav
• on Sindice