Automatic ontology generation for natural-language processing applications

This invention describes an automated method to build a structured vocabulary, or 'ontology,' for a Virtual Assistant that works in multiple languages. It analyzes words from the Virtual Assistant's web pages, identifies their grammatical roles and base forms, and then organizes this linguistic data into a network. The claims specify that this process involves extracting information from various document types using specialized software.

Why it matters: Filed before the widespread adoption of large language models. Modern NLP tools and LLMs can now automate and improve the multi-language linguistic analysis and ontology generation steps, which were more complex in 2015.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, NLP algorithms, multi-language processing

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