Keyword based open information extraction for fact-relevant knowledge graph creation and link prediction

A system for automated decision making in an artificial intelligence task by fact-relevant open information extraction and knowledge graph generation, the system comprising one or more hardware processors configured, alone or in combination, to provide for execution of the following steps:

• obtaining a keyword query for performing the fact-relevant open information extraction;
• expanding the keyword query using keyword alias and query generation;
• performing the fact-relevant open information extraction to extract triples from a text which contains the keyword or the keyword alias;
• generating the knowledge graph using the extracted triples and an open knowledge graph (OpenKG) extractor that has been trained using keywords and aliases;
• and
• performing supervised or unsupervised classification using the generated knowledge graph to make the automated decision in the artificial intelligence task.

A tangible, non-transitory computer-readable medium having instructions thereon, which, upon being executed by one or more processors provide for execution of the following steps:

• obtaining a keyword query for performing the fact-relevant open information extraction;
• expanding the keyword query using keyword alias and query generation;
• performing the fact-relevant open information extraction to extract triples from a text which contains the keyword or the keyword alias;
• generating the knowledge graph using the extracted triples and an open knowledge graph (OpenKG) extractor that has been trained using keywords and aliases;
• and
• performing supervised or unsupervised classification using the generated knowledge graph to make the automated decision in the artificial intelligence task.