1. Articles in category: Semantic

    4033-4056 of 4071 « 1 2 ... 166 167 168 169 170 »
    1. Processing of textual information and automated apprehension of information

      Scheme for the automated apprehension of textual information conveyed in an input string. The input string is segmented to generate segments and/or semantical units. The following steps are repeated for each segment in the input string until a subset for each segment in said input string is identified: a. identifying a matching semantical unit in a fractal hierarchical knowledge database of semantical units and pointers, said matching semantical units being deemed to be related to a segment of said input string, b. determining the fitness of said matching semantical unit by taking into consideration said semantical unit's associations ...
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    2. Information Retrieval Techniques

      A general collection of articles on search and information retrieval techniques of the future: How Search Works, by Tim Bray: a simple introduction to Boolean search Relaxation Ranking Passage Retrieval, by Steve Green: giving weight to terms that appear near each other. A Framework for Multilingual Searching and Meta-information Extraction by S. Shimizu et al. The Porter Stemming Algorithm, by Martin Porter. Snowball: a language for stemming algorithms Bayesia
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    3. Techniques for controlling distribution of information from a secure domain

      Techniques for controlling distribution of information from a secure domain by automatically detecting outgoing messages which violate security policies corresponding to the secure domain. Semantic models are constructed for one or more message categories and for the outgoing messages. The semantic model of an outgoing message is compared with the semantic models of the message categories to determine a degree of similarity between the semantic models. The outgoing message is classified based on the degree of similarity obtained from the comparison. A determination is made, based on the classification of the outgoing message, if distribution of the outgoing message would ...
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    4. Language learning apparatus and method therefor

      A language learning apparatus includes a syntax-structure analyzing unit and a syntax-rule learning unit. The syntax-structure analyzing unit is provided with a speech recognition portion for recognizing a word string from input speech data O.sub.i based on speech pattern information of a vocabulary-information storage unit. A semantic analyzer detects image patterns from input moving picture data V.sub.i by using the information stored in the vocabulary-information storage unit, and analyzes the relevance of the detected image patterns and outputs a concept representation using the words corresponding to the individual image patterns. A relevance analyzer verifies the word ...
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    5. File or database manager systems based on a fractal hierarchical index structure

      Database system (10) which comprises a fractal hierarchical index database (13), and a processing unit (19). The processing unit (19) is employed to evaluate an input string (12) describing an element (E1) that is to be added to the database system (10) in order to obtain an input network (18) comprising a semantical unit (SU1) representing the element (E1). Then the processing unit (19) updates the index database (13). Finally, either an existing access pointer (22) is maintained, or a new access pointer (22) is created between the element (E1) and the semantical unit (SU1) representing the element (E1) thereby ...
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      Mentions: Microsoft Apple Voice
    6. Topological methods to organize semantic network data flows for conversational applications

      A system and methods for enforcing uniform branching of node-to-node inheritance links within semantic networks, to control data flows to and from such networks in conversational applications. Enforced uniform branching criteria converge the population of directly connected nodes of each node toward a small system-wide constant, and converge each sibling inheritance node to a similar level of abstractness, and are also used to select the best candidate tree from a set of competing representation trees within the semantic network. Uniform branching criteria are applied to competing trees for speech recognition, for object recognition in vision systems, for concept recognition in ...
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    7. Advanced web bookmark database system

      An advanced bookmark database system provides query, re-organization, information sharing, view, and access control capabilities to manage bookmarks. In one embodiment of the bookmark database system of the present invention, HTML document parsing, keyword extraction, and HTML/VRML document generation capabilities are provided, in addition to allowing comprehensive database query and navigation. The bookmark database system extracts document content semantics, intra-document structures, inter-document linkage, and useful metadata for users to allow query and organization based on various attributes, such as keywords, domains, and last visit times. Further, an access control capability allows sharing of bookmark databases among users. Multiple physical ...
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      Mentions: sub
    8. Categorization based text processing

      A rules based configurable system efficiently and effectively determines for a given electronically represented text document which linguistic analysis and extraction processes and which application specific processes should be invoked to provide more accurate answers to a user's query. In a rules based classifier, where each category or topic is represented by a set of rules, in an application such as routing, the categorization effecting the routing can be effectively combined with processes extracting other information. This may be in the form of a prompt for the user to input additional information.
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      Mentions: London McLean Editors
    9. Fact recognition system

      In accordance with methods and systems consistent with the present invention, an improved fact recognition system is provided that automatically learns from syntactic language examples and semantic language examples, thus facilitating development of the system. The language examples are rather simplistic and can be provided by a lay person with little training, thus relieving the need for knowledge engineers. Furthermore, the learning performed by the improved fact recognition system results in a collection of probabilities that is used by the system to recognize facts in a typically more accurate manner than conventional systems.
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    10. Methods and apparatus for using task models to help computer users complete tasks

      Methods and apparatus for analyzing tasks performed by computer users by (i) gathering usage data, (ii) converting logged usage data into a uniform format, (iii) determining or defining task boundaries, and (iv) determining a task analysis model by "clustering" similar tasks together. The task analysis model may be used to (i) help users complete a task (such help, for example, may be in the form of a gratuitous help function), and/or (ii) to target marketing information to users based on user inputs and the task analysis model. The present invention also provides a uniform semantic network for representing different ...
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    11. Probabilistic system for natural language processing

      A natural language understanding system is described to provide generation of concept codes from free-text medical data. A probabilistic model of lexical semantics, is implemented by means of a Bayesian network, and is used to determine the most probable concept or meaning associated with a sentence or phrase. The inventive method and system includes the steps of checking for synonyms, checking spelling, performing syntactic parsing, transforming text to its "deep" or semantic form, and performing a semantic analysis based on a probabilistic model of lexical semantics.
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    12. Meaning-based information organization and retrieval

      The present invention relies on the idea of a meaning-based search, allowing users to locate information that is close in meaning to the concepts they are searching. A semantic space is created by a lexicon of concepts and relations between concepts. A query is mapped to a first meaning differentiator, representing the location of the query in the semantic space. Similarly, each data element in the target data set being searched is mapped to a second meaning differentiator, representing the location of the data element in the semantic space. Searching is accomplished by determining a semantic distance between the first ...
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    13. Type-based selection of rules for semantically disambiguating words

      In semantically disambiguating words, where more than one disambiguation applies to the context in which a word occurs, a rule can be selected based on the type of information from which it was obtained. The rules can be derived from different types of information in a corpus such as a dictionary, and rules can be selected in accordance with a prioritization of the types of information.
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    14. Methods for analysis and evaluation of the semantic content of a writing based on vector length

      The present invention is a methodology for analyzing and evaluating a sample text, such as essay(s), or document(s). This methodology compares sample text to a reference essay(s), document(s), or text segment(s) within a reference essay or document. The methodology analyzes the amount of subject-matter information in the sample text, analyzes the relevance of subject matter information in the sample and evaluates the semantic coherence of the sample. This methodology presumes there is an underlying, latent semantic structure in the usage of words. The method parses and stores text objects and text segments from the sample ...
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    15. Method and system for providing information in response to questions

      An apparatus and a system to teach a user a subject based on his questions. The system allows the user to control his learning process, and helps to fill in gaps of misunderstanding in the subject. In one embodiment, the system, including a database, presents study materials on the subject to the user. After working on the presented materials, the user enters his question into the system, which generates an answer to the question, and presents it to him. Then the system compares the question with one or more questions previously entered by the user to determine his understanding level ...
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    16. Probabilistic method for natural language processing and for encoding free-text data into a medical database by utilizing a Bayesian network to perform spell checking of words

      A natural language understanding system is described which provides for the generation of concept codes from free-text medical data. A probabilistic model of lexical semantics, in the preferred embodiment of the invention implemented by means of a Bayesian network, is used to determine the most probable concept or meaning associated with a sentence or phrase. The inventive method and system includes the steps of checking for synonyms, checking spelling, performing syntactic parsing, transforming text to its "deep" or semantic form, and performing a semantic analysis based on a probabilistic model of lexical semantics. In the preferred embodiment of the invention ...
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    17. Method of and system for disambiguating syntactic word multiples

      A method and system are provided for disambiguating multiples of syntactically related words automatically using the notion of semantic similarity between words. Based on syntactically related words derived from a sample text, a set is formed containing each associating word and the words associated in the syntactic relationship with it. The associating words are expanded to all word senses. Pair wise intersections of the resulting sets are formed so as to form pairs of semantically compatible word clusters which may be stored as pairs of cooccurrence restriction codes.
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    18. Method, apparatus, and computer readable medium for performing semantic analysis and generating a semantic structure having linked frames

      A method for performing a semantic analysis process on a computer system including a storage unit and an interface includes the steps of: receiving a syntactic tree generated from a natural language sentence text; determining whether an analysis object, which is one of nodes of the syntactic tree, is a verb phrase class which has a verb as a head or a non-verb phrase class which has mainly a noun as the head on the basis of subdivided type information of a phrase of the node with reference to first data stored in the storage unit; analyzing a relation between ...
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      Mentions: Tokyo
    19. Software upgrades by conversion automation

      A semantic-based system is provided to upgrade software written in a high level language of the kind having a type system and being statically compiled in compilers which check types and usages at compile time. The system employs conversion declarations which are inserted into the source code of the software and executed by the compiler. These declarations comprise a list of substitutable parts, with each substitutable part having a list of properties, a set of semantic patterns to be matched using the substitutable parts, and a result pattern showing what will be substituted for each matching portion of source code.
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    4033-4056 of 4071 « 1 2 ... 166 167 168 169 170 »
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