Semantic lifting of unstructured data based on NLP inference of annotations
Ivo Marinchev · 2012
The paper introduces approach to semantic lifting of unstructured data with the help of natural language processing (NLP) technologies. Our approach is based on processing the text fragments with NLP tools to tag some of the natural language words and phrases with semantic annotations. Then these inferred annotations are lifted to ontology level in the form of ontology instances that become preliminary automatic annotations of the target text fragments and can later be optionally confirmed and refined by domain experts.