92 results about "Concept map" patented technology

A data analysis system with dynamic information extraction and self-organizing evidence construction finds numerous applications in information gathering and analysis, including the extraction of targeted information from voluminous textual resources. One disclosed method involves matching text with a concept map to identify evidence relations, and organizing the evidence relations into one or more evidence structures that represent the ways in which the concept map is instantiated in the evidence relations. The text may be contained in one or more documents in electronic form, and the documents may be indexed on a paragraph level of granularity. The evidence relations may self-organize into the evidence structures, with feedback provided to the user to guide the identification of evidence relations and their self-organization into evidence structures. A method of extracting information from one or more documents in electronic form includes the steps of clustering the document into clustered text; identifying patterns in the clustered text; and matching the patterns with the concept map to identify evidence relations such that the evidence relations self-organize into evidence structures that represent the ways in which the concept map is instantiated in the evidence relations.

The present invention relates to an information generation and retrieval apparatus based on a standardized format of sentence structure and semantic structure and a method thereof and a computer readable recording medium for recording a program for implementing the method. The method for generating and retrieving information for use in an apparatus for generating and retrieving information based on standardized formats of sentence structure and semantic structure, comprises a first step of transforming a natural language sentence (information and knowledge) described by a information provider to a conceptual graph depending on standardized formats of sentence structure and semantic structure and indexing the conceptual graph; and a second step of transforming a natural language query sentence inputted from a user to a conceptual graph depending on the standardized formats of sentence structure and semantic structure and searching information relevant to the requirement of the user among the indexed information.

The present invention provides launch pads on the display of a computer system as interactive interfaces between a user and wizards. The present invention includes: (a) providing a link on a launch pad, where the link is associated with a wizard, where the launch pad comprises a first visual object, where the first visual object in the launch pad relates to the task performed by the wizard; and providing the wizard when the link is selected, where the wizard comprises a second visual object, where the second visual object is associated with the first visual object. In the preferred embodiment, the second visual object in the wizard provides more information concerning the task than the first visual object. In this manner, a user is provided a visual connection between the information provided on the launch pad and the information provided on the wizard concerning the task performed by the wizard.

A method for searching an intended path among user mental models comprises retrieving a plurality of mental models from a plurality of users; receiving at least one intended path from a search user; searching the at least one intended path among the plurality of mental models in a database; generating a search report in a form of a path list, wherein the path list further comprises relevance data correlated with each path; wherein the mental models from the plurality of users is obtained via a mind map, a concept map, a knowledge map, a diagram, a flow, a chart or a category of each of the plurality of users.

The present invention is a textual discourse analysis with the purpose of analyzing and visualizing of complex text. The invention operates and functions based on conceptual relations, both logical and axiological, among grammatical components of a sentence and across sentences of a given text. Thus, three basic grammatical units, namely Agent/s, Topic/s and Object/s, have been utilized, in order to build a tripartite structure. Discursive analysis of text based on this invention provides a novel approach for automatically classifying positions of Agent/s within particular textual databases vis-a-vis to Topic/s and Object/s, and vice versa. Therefore, as illustrated above, a computer program method of the present invention starts by creating a conceptual map of a given text, classifying semantic macro-areas, positions of Agents, Topics and objects and then correlates such positions with other components in the database. In the next step of the invention, the computer assigns a reference system, provided for analyzing denotative content of discourse. The system is based upon a database of terms of words and phrases and their associated denotative as well as connotative meanings followed by generation of a database, axiologically categorizing subject-matters.

A method for transforming Video-To-Text is disclosed that automatically generates text descriptions of the content of a video. The present invention first segments an input video sequence according to predefined semantic classes using a Mixture-of-Experts blob segmentation algorithm. The resulting segmentation is coerced into a semantic concept graph and based on domain knowledge and a semantic concept hierarchy. Then, the initial semantic concept graph is summarized and pruned. Finally, according to the summarized semantic concept graph and its changes over time, text and/or speech descriptions are automatically generated using one of the three description schemes: key-frame, key-object and key-change descriptions.

A process for professional authoring of information about structured domains (i.e., not including fiction) by which authors, as an integral part of the authoring process, provide the data needed to (1) enable intelligent user navigation between the work of different authors without the need for predefined links; (2) enable searches for information based on user context; and (3) identify reuse candidates before information is written and, therefore, minimize duplication. Authors develop concept maps to reflect the structure of the domain rather than the structure of the documentation; define the user context to which a concept map applies; resolve topic intersections between concept maps; define query attributes for articles to be developed; and resolve article intersections identified by means of intersecting query attributes. Computer programs support concept map development, the identification and analysis of topic and article intersections, and association of the data for exploitation in a user interface.

A disease-specific ontology crafted by a consensus of expert clinicians may be used to semantically characterize/provide semantic meaning to dynamically changing patient electronic medical record (EMR) data in critical care settings. Hierarchical, directed node-edge-node graphs (concept maps or Vmaps) developed with an end-user friendly graphical user interface and ontology editor, can be used to represent structured clinical reasoning and serve as the first step in disease-specific ontology building. Disease domain Vmaps reflecting expert clinical reasoning associated with management of acute illnesses encountered in critical care settings (e.g. ICUs) that extend core clinical ontologies, developed and reviewed by experts, are in turn extended with existing medical ontologies and automatically translated to a domain ontology processing engine. Semantically-enhanced EMR data derived from the ontology processing engine is incorporated into both real-time ‘track and trigger” rule engines and machine learning training algorithms using aggregated data. The resulting rule engines and machine-learnt models provide enhanced diagnostic and prognostic information respectively, to assist in clinical dual modes of reasoning (analytical rules and models based on experiential data) to assist in decisions associated with the specific disease in acute critical care settings.

Systems, methods and computer program products for navigating concepts found in data produced by intellectuals in a knowledge discovery process are disclosed. The present invention utilizes data sources and facilities for enabling community-based contributions for identifying associations between concepts disclosed by intellectuals. The present invention's approach results in having concepts mapped to authors and tools for linking related concepts with groups of intellectuals and/or contributors.

A remembrance agent is proposed, to be hosted on a wearable computer. The remembrance agent employs a first database (WK) of knowledge about the world in the form of concept maps. Events (“episodes”) experienced by a user are each classified as relating to one or more of the concepts in WK. The episodes are used to produce a second database (episodic memory, EM), and the classification is also used to update a third database (semantic memory, SM) organised using the concepts. The semantic memory thus summarizes the user's interaction with the concepts during the episodes. A current situation of the user is classified according to the concepts, and the classification is used, with the EM and SM, to provide to the user information relevant to the current situation.

The invention relates to an entity link system for a language lacking resources. The system adopts a method combining rules with statistics for carrying out word stem segmentation and part-of-speech tagging on Uygur language vocabularies; expanding entity referring items according to contexts of the entity referring items; aligning Chinese vocabularies with the Uygur language vocabularies by means of the bilingual alignment technology of machine translation, so as to expand the Uygur language via the abundant semantics of the Chinese and obtain candidate entities; sequencing the candidate entities by fusing entity context features, textual theme features and concept map features in a knowledge base, and linking the entity referring items to the sequenced target entities. The system provided by the invention is used for solving the entity link problem of the language lacking resources and creating a practical Uygur language entity link system. The system can achieve an entity link function of the Uygur language lacking language resources so as to satisfy the demand of intelligent information processing.

The present invention relates to an example-based concept-orietned data extraction method. In an example labeling phase, the exemplary data string is converted into an exemplary token sequence, in which the target concepts and filler concepts are labeled to be tuples for use as an example, and thus an exemplary concept graph is constructed. In the data extraction phase, the untested data string is converted into an untested token sequence to be processed, and, based on the associated concept recognizers defined by the tuples in the example labeling phase, it is able to detect the concept candidates and establish the composite concepts and aggregate concepts, thereby constructing a hypothetical concept graph. After comparing the exemplary concept graph with the hypothetical concept graph, the optimal hypothetical concept sequence in the hypothetical graph is determined, so as to extract the targeted data from the matched target concepts.

An advanced MIDI/audio processing system with virtual key-switches. The virtual key-switches are mapped to different musical concepts. As a user presses a key-switch in real time with the playing of musical notes, the musical concept mapped to the key-switch that was pressed is applied. The instrument then switches to a new playing state based on the particular musical concept that was applied. Furthermore, the system is configured to provide a smooth transition between dynamic levels when applying crescendo or diminuendo effects via a modulation wheel. The system also configured to provide enhanced cycling of alternate samples by providing an individual alternate cycle for each note of each articulation in each dynamic level. Furthermore, the system is configured to allow a user to store and recall specific cycle positions, and override an existing cycle to choose a specific alternate sample for a specific note.

A system and method for rapid entry of past medical diagnoses allows for development of specific, clinically relevant diagnoses from a simple input medication through use of a developed database that maps an input medication to a specific medical diagnosis through an intermediate indications data set. Input medications are normalized to their generic or chemical name and the normalized medication data is associated to an intermediate diagnosis through a medications indications listing contained in a database. Each medication develops a short list of possible specific and/or macro-diagnoses (indications) consistent with the medications and a selected indication is concept-matched to a specific medical diagnosis in order to develop a proper diagnosis in clinically meaningful terms, from a concept-mapped portion of the database. The concept-mapped portion is developed by grouping medical terms into clinically meaningful groups and developing pointers within those groups between identified diseases and a developed indications taxonomy, itself developed by forming a composite of FDA-approved and non-FDA approved indications with respect to particular normalized medications.

The invention discloses a target domain knowledge base generation and question answering method and device, and the method comprises the steps: determining a concept graph, a reason graph and a predicate logic formula of target domain knowledge according to the knowledge type of the target domain knowledge; and generating a target domain knowledge base, wherein the concept map is used for representing a static relationship among the concept words, the factorial map is used for representing the sequence between the events and the factorial relationship between the events, and the predicate logic formula is used for representing business rules in the target domain knowledge. The question answering method comprises the steps that M events triggered by N word segmentation phrases of a questionare determined from an affair graph, and slot position values of slot positions of the M events are determined according to K word segmentation phrases, matched with a concept graph, in the N word segmentation phrases; a predicate logic formula corresponding to the consulting object of the question is calculated according to the M events and the slot values of the slots of the M events; an answerto the question is determined.

The disclosure describes a system and method for providing computer-based instruction. The system provides a website that can be accessed via the internet in association with a series of instructional materials and at least one concept map for facilitating student understanding of the subjects presented by the instructional materials.