Semantic graph from free-text
Arooj Fatima, Arsalan Ghazi, Cristina Luca · 2017
The amount of data still stored in HTML documents or in a semi-structured format is considerably vast even if an alternative, structured data or linked data, exists. The migration of the data to a structured format is not easy and the current search engines can't reach all types of data with one query. This paper introduces a new technique to convert free-text into semantic graphs that can be then translated to any RDF format. The proposed system also generates ontology-based keywords for the text, which are tagged with related ontologies. These keywords could help the search engines to identify semantics of unstructured text.