Invention Machine Corporation

Leonid S Batchilo

Valery M Tsourikov

Igor V Sovpel

Vitaly N Glazunov

Alexandre I Kirkovski

Alexander Korzun

Alexandre N Korzoun

Answering System enables a user to input a query and responds with answers. Server stores an indexed database of a plurality of S-A-O's (subject-action-object). User generates the query that includes query elements (A-O), (S-A), or (S-X-O), or element (S). The server identifies the database element S, O, or A, or elements (A-O) associated with a respective knowledge base S-A-O that includes the query element(s) in response to the server receiving the query and generates a natural language answer S-A-O that includes the identified and the query elements(s) and transmits the answer to the user apparatus that provides an audio or visual response. The server can conduct WWW searches for documents with S-A-O elements that match query element(s) and adds them to the database, thus treating the WWW as an available knowledge base.

Semantic answering system and method

A system and method for summarizing the contents of a natural language document provided in electronic or digital form includes preformatting the document, performing linguistic analysis, weighting each sentence in the document as a function of quantitative importance, and generating one or more document summaries, from a plurality of selectable document summary types, as a function of the sentence weights.

Computer based summarization of natural language documents

A computer based software system and method for semantically processing a user entered natural language request to identify and store linguistic subject-action-object (SAO) structures, using such structures as key words/phrases to search local and web-based databases for downloading candidate natural language documents, semantically processing candidate document texts into candidate document SAO structures, and selecting and storing only relevant documents whose SAO structures include a match with a stored request SAO structure. Further features include analyzing relationships among relevant document SAO structures and creating new SAO structures based on such relationships that may yield new knowledge concepts and ideas for display to the user and generating and displaying natural language summaries based on the relevant document SAO structures.

Document semantic analysis/selection with knowledge creativity

A digital computer-based concept engineering system (CES) that includes a data base of concept components (Y=f(x)) of which includes input, output and control parameters, text descriptions, and full motion graphics of a device or system that functions as y=f(x) of a device. The CES provides three problem-solving modes, including direct linking automatically to produce full-motion graphical representations of x.sub.2 .fwdarw.f.sub.2 43 x.sub.1 43 f.sub.1 .fwdarw.y and a control-linking mode to produce full-motion graphical representations of concept components that control parameters of y=f(x, a, b, c). The CES forms new and useful combinations of concept components into a unique concept engineering system, which produces new or improved technical results. Full-motion graphics of unique combinations of concept components stimulate the user to generate creative ideas for technical problem-solving and design.

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Belmont, MA, United States of America

Leonid S Batchilo