Biological Sequence Database Retrieval Using Attribute Association

The patent applies preliminary action by pre-extracting biological sequences and their attribute information from patent documents before actual search operations. A dedicated database construction phase is implemented where sequences are parsed, attributes are identified, and structured entries are created in advance. This preprocessing work enables significantly faster and more accurate retrieval during actual search operations, as the system no longer needs to parse raw documents during querying.

The patent introduces an intermediary structured database that sits between raw patent documents and search operations. This database serves as a mediator by storing pre-processed biological sequence data with standardized attributes, allowing efficient querying without directly processing complex patent document formats during search. The intermediary structure includes fields like sequence identifiers, attribute names, and attribute values that facilitate rapid retrieval.

The patent applies segmentation by breaking down biological sequence information into distinct structured components. Each patent document entry is segmented into specific attributes such as sequence identifiers, sequence types (nucleotide/protein), functional descriptions, and other characteristics. This segmentation allows the system to retrieve and process only relevant attributes based on search queries, improving accuracy while managing complexity through modular organization of information.

The patent implements parameter changes by transforming unstructured or semi-structured biological sequence data into standardized parameters with defined data types and formats. Attribute information is converted into structured parameters that can be efficiently queried and compared. This parameterization enables precise retrieval operations while the standardization process manages the complexity of handling diverse biological data formats.