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: 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: 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: 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: 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 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 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: 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 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: 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: 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.