A FRAMEWORK FOR STRUCTURED KNOWLEDGE EXTRACTION AND REPRESENTATION FROM NATURAL LANGUAGE THROUGH DEEP SENTENCE ANALYSIS
Stefania Costantini, Niva Florio, Alessio Paolucci · 2011
We present a framework that we are currently developing, that allows one to extract knowledge from natural language sentences using a deep analysis technique based on linguistic dependencies. The extracted knowledge is represented in OOLOT, an intermediate format that we have introduced, inspired by the Language of Thought (LOT) and based on Answer Set Programming (ASP). OOLOT uses an ontologyoriented lexicon and syntax. Therefore, it is possible to export the extracted knowledge into OWL and native ASP.