Abstract: A problem analysis system and method, given at least one entity represented in an entity-relation-entity relationship, automatically formulates a query that is automatically submitted via a knowledge search tool to a database of mereological and functional relationships, and responses to this query from the database are automatically provided. The query can be formatted as a natural language query, a Boolean query, a key word query, or a query according to the query syntax of a database management system.

Abstract: A Semantic Processor for the recognition of Cause-Effect relations in natural language documents which includes a Text Preformatter, a Linguistic Analyzer and a Cause-Effect Knowledge Base Generator. The Semantic Processor provides automatic recognition of cause-effect relation both inside single fact and between the facts in arbitrary text documents, where the facts are also automatically extracted from the text in the form of seven-field semantic units. The recognition of Cause-Effect relations is carried out on the basis of linguistic (including semantic) text analysis and a number of recognizing linguistic models built in the form of patterns.

Abstract: A semantic processor and method for automatically recognizing Whole-Part relations in at least one natural language electronic or digital document recognizes one or more expanded Subject-Action-Object (eSAO) sets in text, wherein each eSAO set has one or more eSAO components; matches the one or more eSAO sets against Whole-Part relationship patterns, and generates one or more eSAO Whole-Part relations based on the matching, wherein the eSAO Whole-Part relation comprises a Whole eSAO and an Part eSAO.

Abstract: A question-answering system for searching exact answers in text documents provided in the electronic or digital form to questions formulated by user in the natural language is based on automatic semantic labeling of text documents and user questions. The system performs semantic labeling with the help of markers in terms of basic knowledge types, their components and attributes, in terms of question types from the predefined classifier for target words, and in terms of components of possible answers. A matching procedure makes use of mentioned types of semantic labels to determine exact answers to questions and present them to the user in the form of fragments of sentences or a newly synthesized phrase in the natural language. Users can independently add new types of questions to the system classifier and develop required linguistic patterns for the system linguistic knowledge base.

Abstract: Systems and methods for automatic semantic labeling of natural language documents provided in electronic or digital form include a semantic processor that performs a basic linguistic analysis of text, including recognizing in the text semantic relationships of the type objects and/or classes of objects, facts and cause-effect relationships; matching linguistically analyzed text against target semantic relationship patterns, created by generalization of particular cases of target semantic relationships; and generating semantic relationship labels based on linguistically analyzed text and a result of the matching.

Abstract: Knowledge research and mapping system and method automatically construct a knowledge research map representing the researched topics, their inter-relationships, and related responses retrieved through the processing of, for example, a natural language or Boolean query that is automatically submitted via a knowledge search tool to a database.

Abstract: 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.

Abstract: Problem analysis system, given either half of a cause-effect relationship, automatically formulates a natural language or Boolean query that is automatically submitted via a knowledge search tool to a database of cause-effect relationships, and responses to this query from the database are automatically provided.

Abstract: A question-answering system for searching exact answers in text documents provided in the electronic or digital form to questions formulated by user in the natural language is based on automatic semantic labeling of text documents and user questions. The system performs semantic labeling with the help of markers in terms of basic knowledge types, their components and attributes, in terms of question types from the predefined classifier for target words, and in terms of components of possible answers. A matching procedure makes use of mentioned types of semantic labels to determine exact answers to questions and present them to the user in the form of fragments of sentences or a newly synthesized phrase in the natural language. Users can independently add new types of questions to the system classifier and develop required linguistic patterns for the system linguistic knowledge base.

Abstract: Systems and methods for automatic semantic labeling of natural language documents provided in electronic or digital form include a semantic processor that performs a basic linguistic analysis of text, including recognizing in the text semantic relationships of the type objects and/or classes of objects, facts and cause-effect relationships; matching linguistically analyzed text against target semantic relationship patterns, created by generalization of particular cases of target semantic relationships; and generating semantic relationship labels based on linguistically analyzed text and a result of the matching.

Abstract: Knowledge research and mapping system and method automatically construct a knowledge research map representing the researched topics, their inter-relationships, and related responses retrieved through the processing of, for example, a natural language or Boolean query that is automatically submitted via a knowledge search tool to a database.

Abstract: A system and method for cross-language knowledge searching. The system has a Semantic Analyzer, a natural language user request/document search pattern/semantic index Generator, a user request search pattern Translator and a Knowledge Base Searcher. The system also provides automatic semantic analysis and semantic indexing of natural language user requests/documents on knowledge recognition and cross-language relevant to user request knowledge extraction/searching. System functionality is ensured by Linguistic Knowledge Base as well as by a number of unique bilingual dictionaries of concepts/objects and actions.

Abstract: Problem analysis tool automatically reformulates a problem statement into a natural language or Boolean query that is automatically submitted via a knowledge search tool to a database, and responses to this query from the database are automatically provided.

Abstract: 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.

Abstract: A semantic processor and method for automatically recognizing Whole-Part relations in at least one natural language electronic or digital document recognizes one or more expanded Subject-Action-Object (eSAO) sets in text, wherein each eSAO set has one or more eSAO components; matches the one or more eSAO sets against Whole-Part relationship patterns, and generates one or more eSAO Whole-Part relations based on the matching, wherein the eSAO Whole-Part relation comprises a Whole eSAO and an Part eSAO.

Abstract: A computer search involves expanding a user query with two synonym dictionaries—actions and object—and then validating the expanded queries by comparison with entries in a Subject-Action-Object Knowledge Database (SAO KB) in a discipline corresponding to the query. The latter is prepared from natural language texts and contains fields with subjects, actions, objects, and “main parts of objects” extracted from the object.

Abstract: A computer system for analyzing and automatically modifying existing process system models that includes (i) an Initial Data stage that prompts the user to enter qualitative and quantitative objectives in designing or re-designing a Process System, (ii) a Component Model stage that displays an image of the sequence of components produced or added during the process and that allows the user to edit or complete the Component Model display that includes components, which are produced during the process, operations that produce them, and functions, each consisting of an element or tool that causes an action and an element or tool that receives the action, (iii) a Process (Functional) Analysis stage that includes functional and interaction relationships of the functions and operations designating each function as harmful or useful, and ranking each useful function according to the value of its contribution to the respective operation, and performing a value link analysis of each function including the level of the

Abstract: 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.

Abstract: A software system includes an engineering analysis system (EAS) for analyzing an engineering object system and for recommending elimination of object system components. The EAS includes a functional model unit responsive to user entry for generating images of a functional model of the object system including its components, elements and products and representations of the interactions between the generated components, elements, and products. The functional model can be represented as a number of component/element boxes and harmful and useful interaction lines therebetween, or the functional model components, elements and products can be represented in matrix form with interactions identified in the intersections of the matrix. The EAS includes an advanced link analysis unit for prompting user entry, storing and displaying of (i) a parameter of at least one of said interactions, (ii) the actual and desired quantitative or qualitative values of said parameter, (iii) a time and space dependency of the parameter.

Abstract: 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.