Generating and using a semantic index

A method for retrieving a search result from a semantic index, the method comprising:

• generating a user-interface;
• receiving, via the user-interface, a query, the query comprising information corresponding to at least two different content types;
• and
• receiving, from a semantic index, a search result corresponding to the query,
• wherein the semantic index is generated using content data that is stored and labelled, based on semantic context, the content data comprising a plurality of subsets of content data corresponding to the at least two different content types, and the storing and labelling comprising grouping the plurality of subsets of content data by:
• determining a distance between feature vectors generated for labels corresponding to the plurality of subsets of content data;
• determining that one or more of the distances are less than a predetermined threshold;
• and
• grouping together the feature vectors with distances therebetween that are less than the predetermined threshold, thereby grouping together the respective subsets of the plurality of subsets of content data to which the feature vectors correspond.

A system for generating a semantic index, the system comprising:

• at least one processor;
• memory storing instructions that, when executed by the at least one processor, causes the system to perform a set of operations, the set of operations comprising:
• receiving content data, the content data comprising a plurality of subsets of content data, the plurality of subsets of content data comprising a first subset of content data corresponding to a virtual type of content and a second subset of content data corresponding to a physical type of content;
• labeling each of the plurality of subsets of content data, based on a semantic context corresponding to the content data;
• generating a feature vector for each of the labels corresponding to a respective one of the plurality of subsets of content data;
• grouping the plurality of subsets of content data, based on their labels, thereby generating one or more groups of subsets of content data, wherein the grouping of the plurality of subsets of content data, based on their labels, comprises:
• determining a distance between each of the feature vectors;
• determining that one or more of the distances are less than a predetermined threshold;
• and
• grouping together the feature vectors with distances therebetween that are less than the predetermined threshold, thereby grouping together the respective subsets of the plurality of subsets of content data to which the feature vectors correspond;
• and
• performing an action, based on the one or more groups of subsets of content data.