Clustered Information Processing and Searching with Structured-Unstructured Database Bridge

摘要

Systems and methods for indexing information and for performing searches are disclosed. In these systems and methods information is “ingested” into the system by clustering the information using a clustering algorithm such as k-means or k-medoids clustering. During the clustering process, a hybrid distance measurement is used that allows the systems and methods to determine similarity across a number of different types of information. Once the information is clustered, it is stored and “mirrored” both in a structured (e.g., relational) data repository and in an unstructured data repository. Methods according to the invention allow the retrieval of both direct search results and search results including related concepts. After clustered information is stored, future searches can be performed by searching the stored results in whichever data repository is most appropriate for the context.

主权项

1. A method for retrieving data, comprising:
receiving a query at a first computing system; automatically directing the query to either a structured results repository or an unstructured results repository, the structured and unstructured results repositories being associated with the first computing system or other computing systems and containing essentially the same information clustered into one or more clusters to reflect relationships between data elements in the one or more clusters; searching the structured or the unstructured results repositories in accordance with said automatically directing; and returning a result set to the query including at least a portion of the contents of at least one of the clusters.