92 results about "Concept map" patented technology

A method, system and computer program product for generating a document representation are disclosed. The system includes a server and a client computer, and the method involves: receiving into memory a resource containing at least one sentence of text; producing a tree comprising tree elements indicating parts-of-speech and grammatical relations between the tree elements; producing semantic structures each having three tree elements to represent a simple clause (subject-predicate-object); and storing a semantic network of semantic structures and connections therebetween. The semantic network may be created from a user provided root concept. Output representations include concept maps, facts listings, text summaries, tag clouds, indices; and an annotated text. The system interactively modifies semantic networks in response to user feedback, and produces personal semantic networks and document use histories.

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 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, system and computer program product for generating a document representation are disclosed. The system includes a server and a client computer, and the method involves: receiving into memory a resource containing at least one sentence of text; producing a tree comprising tree elements indicating parts-of-speech and grammatical relations between the tree elements; producing semantic structures each having three tree elements to represent a simple clause (subject-predicate-object); and storing a semantic network of semantic structures and connections therebetween. The semantic network may be created from a user provided root concept. Output representations include concept maps, facts listings, text summaries, tag clouds, indices; and an annotated text. The system interactively modifies semantic networks in response to user feedback, and produces personal semantic networks and document use histories.

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.

A pre-computed concept map represents concepts, concept metadata, and relationships between the plurality of concepts. Online user behavior may be predicted by correlating one or more online events of a user with one or more features of the concept map, aggregating a concept map history of the user to obtain online behavior over time, aggregating online behavior of the user and one or more other users to obtain aggregated online user behavior, and predicting future online behavior of the user based at least in part on the online behavior of the user and the aggregated online user behavior. The predicted behavior may be used to target ads that the user is likely to find relevant.

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.

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.

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.

A system for creating the learning organizational tool known as a concept map to thereby facilitate learning includes a manipulation-sensing device with a wireless data transceiver, an information integration platform, and a data processing device. The wireless manipulating-sensing device allows users to physically manipulate the concept map and then transmit / receive data related to the results of the physical manipulation via a wireless network. The wireless manipulation-sensing device includes a plurality of conceptual modules for recording data in the process of learning a concept map, a plurality of connecting modules for recording data of the connection relations between the conceptual modules, and a plurality of connecting wires connected between the plurality of conceptual modules and the plurality of connecting modules to form connection relations therebetween. The information integration platform receives the results of the physical manipulation transmitted from the conceptual modules to form concept map information by translation. The data processing device receives the concept map information formed by the information integration platform. In addition, a method for learning a concept map using the system described above is further provided.

A computer-implemented system and method for translating node-and-link knowledge representations to an outline format is disclosed. The representation includes one or more node objects and one or more link objects. Each link object has a “from node identifier” that identifies the node object in a concept map connected to a link's tail and a “to node identifier” identifying the node object in the concept map to which the link object points. A translation program traverses all of the node objects in a node-and-link representation as directed by the link objects by following links out of each node depending of the link objects' “to node identifier” such that an outline is output having node object information and link object information hierarchically interrelated.

The invention relates to a method for generating a multi-media concept map, which belongs to the man-machine interaction field. A concept map is created by using a digital pen, a multi-media object is input through multiple channels, the input multi-media information is organized in a form of the concept map to generate a multi-media concept map including various multimedia information, and meanwhile, and the multi-media concept map is edited by adopting an interactive mode of pen gesture to support quick look of the multimedia information. The invention supports the digital pen to draw the concept map, simulates the traditional notes taking method, conforms to the habits of users and is more natural and more effective; and the invention supports to automatically establish the correlation between the node of the hand-drawing concept map and the multimedia object, transforms the concept map created through the digital pen into a multi-media concept map and further improves the efficiency of generating the multi-media concept map.

An Internet site provides free medical advice to users. Accurate data collection and a summary of medical information will be constructed by using a combination of Virtual Resources. Each online interaction will be patient specific (unique) as each patient has a unique set of issues surrounding their medical problem / condition. The results will be displayed to patients with hyperlinks on medical terms. Once this medical summary of the data is provided, the system will calculate the statistical likelihood of diagnosis using a logic platform database. The logic of the program will improve over time because its interviewing skills will improve as it learns. Lines of questioning are based on Concept Maps (and / or another visual organization tool). The system will learn from its patients and that data will be reviewed and organized by groups of physicians. The system will also gain (medical) practice experience from the physicians involved in the website administration.

The invention discloses a cross-language information retrieval method based on a conceptual graph. The concept map-based cross-language information retrieval method is a cross-language similarity evaluation framework CG-CLIR method, which comprises the following steps: S1, based on the concept edge representation of Skip-Gram; S2, high-order semantic embedding and similarity calculation of the fusion side information; the step S1 includes text preprocessing, concept graph edge semantic embedding. The step S2 includes LSTM based graph level semantic embedding, graph embedding based similarity calculation. According to the method, in text cross-language information retrieval, language obstacles are crossed, and the semantic retrieval effect is achieved under the condition that translation isnot conducted.

The invention provides an electric power fault event extraction method combining deep learning and a concept map. In a feature selection stage, complex feature design is abandoned, only basic distributed semantic word vector features, dependency syntax structure features and position features are selected, and on this basis, concept expansion of a power failure text is achieved through a concept map based on a Chinese knowledge map. A long-term and short-term memory recurrent neural network is used for automatically carrying out feature learning, and a model training result is used for replacing original features and serves as the basis of trigger word recognition and event element recognition. In an element identification stage, an event element identification task is converted into a trigger word-entity and trigger word-trigger word relationship extraction task, training is performed in combination with a dynamic multi-pooling convolutional neural network, and event elements of simple events and complex events are identified at the same time. Rules are formulated according to the characteristics of a power field, and further an identification result is optimized. The method is simple and high in execution efficiency and accuracy.

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.

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.

Methods, systems and computer program products for interactive generation of integrated schemas. Exemplary embodiments include a method for schema integration, the method including recasting a first source schema into a first graph of concepts with HasA relationships, recasting a second source schema into a second graph of concepts with HasA relationships, identifying matching concepts in the first graph and the second graph based on correspondences between attributes of the concepts of the first and second graphs, producing an integrated schema, based on a fixed specification of matching concepts to merge, and generating a mapping from the first source schema to the integrated schema and from the second source schema to the integrated schema.

The invention provides a concept space navigation method based on concept association. The method includes the following steps that 1, a user selects a certain concept C as an initial concept for navigation; 2, the similarity between the concept C and other concepts in concept space are calculated, and similarity old values (if exist) are updated; 3, semantic association information {<C, related concepts, association types >} of the concept C is acquired; 4, two indexes of the similarity value between each of the other concepts and the concept C and existence of semantic association are integrated and standardized; 5, according to the two indexes in the step 4, the correlation degree value of each of the other concepts and the concept C is calculated, the values are ranked from large to small hereby, and Top K concepts are taken; 6, the K concepts and the similarity values and semantic association information of the K concepts and the concept C are displayed visually through a concept map; 7, the user finds the target concept, and navigation is completed; or the concept needing to be further extended (explored) is selected, and the steps are repeated. The designated concept is navigated to association concept groups thereof, the user can conveniently find the target concept, and the retrieval efficiency is improved.