Entity Clustering via Data Services

A computer system comprising:

• at least one processor;
• an entity extraction module implemented by the at least one processor and configured to identify a plurality of entities found in one or more data sources, each entity representing a word or a phrase found in the one or more data sources;
• an entity matching module implemented by the at least one processor and configured to:
• organize the plurality of entities into groups using a first comparison criteria, each group identifying one of the entities as a master entity and a set of entities as subordinate entities;
• associate a first group from the groups with a second group from the groups using a second comparison criteria that compares a master entity associated with the first group with a master entity associated with the second group;
• and
• a group association module implemented by the at least one processor and configured to determine that a first entity is related to a second entity based on the association between the first group and the second group.

A non-transitory computer-readable storage medium storing instructions for causing a processor to implement operations, the operations comprising:

• identifying a plurality of entities found in one or more data sources, each entity representing a word or a phrase found in the one or more data sources;
• using a first comparison criteria, organizing the plurality of entities into groups, each group identifying one of the entities as a master entity and a set of entities as subordinate entities;
• using a second comparison criteria, associating a first group from the groups with a second group from the groups, the second comparison criteria comparing a master entity associated with the first group with a master entity associated with the second group;
• and
• determining that a first entity is related to a second entity based on the association between the first group and the second group.