{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9594743","patent":{"patent_number":"US-9594743","title":"Hybrid machine-user learning system and process for identifying, accurately selecting and storing scientific data","assignee":null,"inventors":[],"filing_date":"2015-07-07T00:00:00.000Z","publication_date":"2017-03-14T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06F"],"num_claims":6,"abstract":"A process for identifying, accurately selecting, and storing scientific data that is present in textual formats. The process includes providing scientific data located in a text document and searching the text document using a computer and selecting a plurality of key words and phrases using an algorithm. The selected key words and phrases are matched with a plurality of semantic definitions and a plurality of semantic definition-key words and phrase pairs are created. The created plurality of semantic definition-key words and phrase pairs are displayed to a user via a computer user interface and the user selects which of the created plurality of semantic definition-key words and phrase pairs are accurate. The process also includes storing the selected and accurate semantic definition-key words and phrase pairs in computer memory."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Hybrid machine-user learning system and process for identifying, accurately selecting and storing scientific data","description":"A process for identifying, accurately selecting, and storing scientific data that is present in textual formats. The process includes providing scientific data located in a text document and searching","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9594743","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9594743","citation_suggestion":"Patentable. \"Hybrid machine-user learning system and process for identifying, accurately selecting and storing scientific data\" (US-9594743). https://patentable.app/patents/US-9594743","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9594743","json":"https://patentable.app/api/llm-context/US-9594743","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T13:56:37.770Z"}