Semantic entity search using vector space

A system comprising:

• at least one processor;
• and
• a storage device comprising instructions, which when executed by the at least one processor, configure the at least one processor to perform operations comprising:
• storing a vector space representation of a set of concepts in a semantic ontology, wherein locations of the set of concepts in the vector space are based on weights of a neural network trained using triples from the semantic ontology;
• presenting a semantic search user interface, the semantic search user interface including:
• a text input portion to receive a search query;
• a suggested search portion;
• and
• a search results portion;
• receiving, from a user computing device, the search query;
• converting the search query into a vector;
• computing a set of possible concepts related to the search query based on a distance between the vector and other concepts in the vector space representation;
• presenting the set of possible concepts related to the search query in the suggested search portion of the semantic search user interface;
• receiving, from the user device, a selection of a concept in the set of possible concepts;
• in response to receiving the selection, executing a query to a graph database to retrieve concepts semantically linked to the concept;
• and
• presenting the concepts semantically linked to the concept in the search results portion of the semantic search user interface.

A non-transitory computer-readable medium comprising instructions, which when executed by at least one processor, configure the at least one processor to perform operations comprising:

• storing a vector space representation of a set of concepts in a semantic ontology, wherein locations of the set of concepts in the vector space are based on weights of a neural network trained using triples from the semantic ontology;
• presenting a semantic search user interface, the semantic search user interface including:
• a text input portion to receive a search query;
• a suggested search portion;
• and
• a search results portion;
• receiving, from a user computing device, the search query;
• converting the search query into a vector;
• computing a set of possible concepts related to the search query based on a distance between the vector and other concepts in the vector space representation;
• presenting the set of possible concepts related to the search query in the suggested search portion of the semantic search user interface;
• receiving, from the user device, a selection of a concept in the set of possible concepts;
• in response to receiving the selection, executing a query to a graph database to retrieve concepts semantically linked to the concept;
• and
• presenting the concepts semantically linked to the concept in the search results portion of the semantic search user interface.