Abstract: The invention relates to a system for the inductive determination of pattern probabilities of 16 dyadic logical convectors. Said system is especially useful for technically predicting human behavior, e.g. inclusion fallacies, and is therefore useful for controlling of technical systems and for data mining, search engines or human-machine interfaces.

Abstract: A system that can automatically narrow the search space or recognition scope within an activity-centric environment based upon a current activity or set of activities is provided. In addition, the activity and context data can also be used to rank the results of the recognition or search activity. In accordance with the domain scoping, natural language processing (NLP) as well as other types of conversion and recognition systems can dynamically adjust to the scope of the activity or group of activities thereby increasing the recognition systems accuracy and usefulness. In operation, a user context, activity context, environment context and/or device profile can be employed to effectuate the scoping. As well, the system can combine context with extrinsic data, including but not limited to, calendar, profile, historical activity data, etc. in order to define the parameters for an appropriate scoping.

Abstract: Systems and methods are disclosed for clusterizing information by determining similarity matrix for historical information and similarity matrix for current information; generating an aggregated similarity matrix (aggregated kernel); and applying evolutionary spectral clustering on the aggregated kernel to a content stream to produce one or more clusters.

Abstract: Lexicon generation methods, computer implemented lexicon editing methods, lexicon generation devices, lexicon editors, and articles of manufacture are described according to some aspects. In one aspect, a lexicon generation method includes providing a seed vector indicative of occurrences of a plurality of seed terms within a plurality of text items, providing a plurality of content vectors indicative of occurrences of respective ones of a plurality of content terms within the text items, comparing individual ones of the content vectors with respect to the seed vector, and responsive to the comparing, selecting at least one of the content terms as a term of a lexicon usable in sentiment analysis of text.

Abstract: A two-phase process quickly and accurately identifies representations of the same items within a collection of item representations. In the first phase, referred to as a “blocking phase,” frequency information indicating the frequency with which terms appear within the collection of item representations is used to quickly identify “candidate pairs” (i.e., pairs of item representations that have a relatively high probability of matching). The blocking phase results in a reduced subset of the data for further analysis during the second phase. In the second phase, referred to as a “matching phase,” the candidate pairs are analyzed using fuzzy matching functions to accurately identify “matching pairs” (i.e., representations of the same items).

Abstract: A method and system for detecting events based on query-page relationships is provided. The event detection system detects events by analyzing occurrences of query-page pairs generated from a user selecting the page of the pair from a search result for the query of the pair. The event detection system may identify semantic and temporal similarity between query-page pairs. The event detection system then identifies clusters of query-page pairs that are semantically and temporally similar.

Abstract: The sentimental significance of a group of historical documents related to a topic is assessed with respect to change in an extrinsic metric for the topic. A unique sentiment binding label is included to the content of actions documents that are determined to have sentimental significance and the group of documents is inserted into a historical document sentiment vector space for the topic. Action areas in the vector space are defined from the locations of action documents and singular sentiment vector may be created that describes the cumulative action area. Newly published documents are sentiment-scored by semantically comparing them to documents in the space and/or to the singular sentiment vector. The sentiment scores for the newly published documents are supplemented by human sentiment assessment of the documents and a sentiment time decay factor is applied to the supplemented sentiment score of each newly published documents.

Abstract: A method for determining a path through concept nodes. The method includes calculating a spatial cost function between adjacent concept nodes in a lower dimensional layout representation of a network of concepts in a n-dimensional space and determining a path that follows a minimum spatial cost function through the concept nodes. The spatial cost function may be used to predict a next node in the path. The method may also include receiving an origin concept node or a goal concept node.

Abstract: A simultaneous semantic and structure threaded discussion modeling system and method for generating a model of a discussion thread and using the model to mine data from the discussion thread. Embodiments of the system and method generate a model that contains both semantic terms and structure terms. The model simultaneously models both semantics and structure of the discussion thread. A model generator includes a semantic module generates two semantic terms for the model and a structure module generates two structure terms for the model. The generator combines the two semantic terms and the two structure terms to generate the simultaneous semantic and structure model. Embodiments of the system and method include an applications module, which contains three application that use the model to reconstruct reply relations among posts in the discussion thread, identify junk posts in the discussion thread, and find experts in each sub-board of web forums.

Abstract: Attribute mapping information is stored, in which a superclass of an associated class in an integration-source ontology already associated with an integration-destination ontology, an attribute of the superclass, and an integration destination attribute of a class in the integration destination are associated with each other. An integration target class in the integration source is specified to acquire an attribute of a superclass of the integration target class. An associated class having the shortest distance from the integration target class is specified, to specify an integration-destination-associated class associated with the specified associated class. An inheritance relation is followed from the integration-destination-associated class to specify a class having the integration destination attribute corresponding to the attribute in the mapping information as a position where the class associated with the integration target class is present.

Abstract: A method, system and software arrangement in accordance with an exemplary embodiment of the present invention are provided to extract descriptive narrative from numerical experimental data augmented with ontological controlled vocabulary. One exemplary application of such system, method and software arrangement is in organizing gene-expression time course data in terms of biological processes that may be activated and deactivated as the biological system responds to its normal or perturbed environment. The present invention may also have biological applications to drug-or-vaccine discovery, understanding behavior of a cell in an altered diseased state (e.g., cancer, neuro-degeneration or auto-immune disease, etc.), genetically modifying a natural wild-type organism, genetic-engineering, etc. Other exemplary applications may include understanding neural behavior, market behavior of a population of users interacting on the Internet, etc.

Abstract: This invention relates generally to classification systems. More particularly this invention relates to a system, method, and computer program to dynamically generate a domain of information synthesized by a classification system or semantic network. The invention discloses a method, system, and computer program providing a means by which an information store comprised of knowledge representations, such as a web site comprised of a plurality of web pages or a database comprised of a plurality of data instances, may be optimally organized and accessed based on relational links between ideas defined by one or more thoughts identified by an agent and one or more ideas embodied by the data instances. Such means is hereinafter referred to as a “thought network”.

Abstract: 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.

Abstract: A system and method relate to multi-modal biometrics. A single modality score is generated for each of a plurality of biometric modalities. A classifier is selected from a database of multi-modal classifiers, and a multi-modal fusion is applied to the single modality scores using the classifier. The single modality scores are then aggregated. A context dependent model is generated, and a measure of the context in which the biometric samples were obtained is applied to the aggregated single modality scores. It is then determined whether there is a match between two or more biometric samples.

Abstract: In one general aspect, a method of deriving information about behavior of a target system is disclosed. The method includes accessing one or more temporal variables for the target system, providing an identifier node at the top of a hierarchy of a tree-structured belief network, and assigning a different sub-tree in the network to each of the accessed temporal variables. The method also involves accessing evidence data, and deriving information about the behavior of the target system for the evidence data based on the tree-structured belief network.

Abstract: A system for transforming domain specific unstructured data into structured data including an intake platform controlled by feed back from a control platform. The intake platform includes an intake acquisition module for acquiring data building baseline data related to a domain and problem of interest, an intake pre-processing module, an intake language module, an intake application descriptors module, and an intake adjudication module. The control platform includes a control data acquisition module, a control data consistency collator, a control auditor, a control event definition and policy repository, an error resolver, and an output that outputs results of the workflow into structured data enabled to be used in data analytics.

Abstract: The disclosure presents a method, system and computer-readable medium related to automatically analyzing structure for a web page. The method embodiment comprises building a training corpus comprising a broad stylistic coverage of web pages, segmenting a web page into information blocks, identifying semantic categories of the information blocks using the training corpus and applying the identical semantic categories in a web-based tool.

Abstract: A computerized system configured to provide a data cell graph for a distributed data set comprised of different data formats. The system comprises a plurality of data repositories, each data repository configured to retain a portion of the distributed data set translated into a uniform semantic language and a plurality of processing cells, each processing cell configured to translate a portion of the distributed data set into the uniform semantic language, wherein the processing cells are further configured to perform at least one of applying rules to classify data against semantic knowledge models and/or adding inferred facts to and/or transforming the structure of the data found in the translated data in the data repository. The processing cells are configured in a computerized data cell graph so as to progressively create a unified semantic knowledge model for the distributed data set.

Abstract: A recommendation network is described. In some embodiments, the recommendation network includes recommenders that explicitly or implicitly recommend, rate or refer items and recommendation receivers that receive the recommendations. In some embodiments, the recommenders can be recommendation receivers, and vice versa. In some embodiments, recommendation receivers assign trust ratings to recommenders. The recommendation receiver can assign separate trust ratings to individual topics for which the recommendation receiver trusts the recommender. The separate trust ratings represent the recommendation receiver's amount of trust in the recommender to makes valuable recommendations for the specific topic. The recommendation network can use the separate trust ratings, along with ratings provided by the recommender, to rank recommendations per the separate topics. The recommendation receiver can assign the recommender to different bundles, topics, channels, etc. to which other recommendation receivers can subscribe.

Abstract: An opinion system infers the opinion of a sentence of a product review based on a probability that the sentence contains certain sequences of parts of speech that are commonly used to express an opinion as indicated by the training data and the probabilities of the training data. When provided with the sentence, the opinion system identifies possible sequences of parts of speech of the sentence that are commonly used to express an opinion and the probability that the sequence is the correct sequence for the sentence. For each sequence, the opinion system then retrieves a probability derived from the training data that the sequence contains an opinion word that expresses an opinion. The opinion system then retrieves a probability from the training data that the opinion words of the sentence are used to express an opinion. The opinion system then combines the probabilities to generate an overall probability that the sentence with that sequence expresses an opinion.

Abstract: A system and method for classifying text includes a pre-processor, a knowledge base, and a statistical engine. The pre-processor identifies concepts in the text and creates a structured text object that contains the concepts. The structured text object is then passed to a statistical engine, which applies statistical information provided in nodes of a knowledge base to the structured text object in order to calculate a set of match scores, each match score representing the relevance of the text to an associated one of a plurality of predefined categories. The pre-processor may be implemented in the form of an interpreter which selects and executes a script that includes language- and scenario-specific instructions for performing linguistic and semantic analysis of the text.

Abstract: Systems and methods for determining semantically related terms using an active learning framework such as Transductive Experimental Design are disclosed. Generally, to enhance a keyword suggestion tool, an active learning module trains a model to predict whether a term is relevant to a user. The model is then used to present the user with terms that have been determined to be relevant based on the model so that an online advertisement service provider may more efficiently provide a user with terms that are semantically related to a seed set.

Abstract: A computer implemented data processor system automatically disambiguates a contextual meaning of natural language symbols to enable precise meanings to be stored for later retrieval from a natural language database, so that natural language database design is automatic, to enable flexible and efficient natural language interfaces to computers, household appliances and hand-held devices.

Abstract: A system and method for identifying graphical model semantics, one aspect, receive a graphical diagram, associate each of a plurality of elements with one or more predetermined meta-types, identify a plurality of types in the graphical diagram, and determine a category for each of elements in said graphical diagram. Containment identification rules identify one or more containment relationships in the graphical diagram. Multiplicity identification rules identify multiplicity relationships in the graphical diagram. Advanced semantic rules identify visual elements that represent attributes and refine relationships to identify unique behavior.

Abstract: Techniques are described for determining and using information related to domains of interest, such as by automatically analyzing documents and other information related to a domain in order to automatically determine relationships between particular terms within the domain. Such automatically determined information may then be used to assist users in obtaining information from the domain that is of interest (e.g., documents with contents that are relevant to user-specified terms and/or to other terms that are determined to be sufficiently related to the user-specified terms). For example, recommendations may be automatically generated for a user by using information about specified preferences or other interests of the user with respect to one or more terms and identifying other particular terms that are sufficiently probable to be of interest to that user, such as based on a generated probabilistic representation of relationships between particular terms for the domain.

Abstract: A method and computer program product to capture expert knowledge and data using probabilistic models. A custom layered structure and nodes reduce the complexity of the model, allowing for representation of the model using tables. An editor is used for entry and verification of expert knowledge and data into tables and a probabilistic model is generated from the tables.

Abstract: A system and method is disclosed that supervises the behavior of interactive characters using dynamic, fuzzy, social rules. These characters, called Protags, resemble human beings and are modeled after universal characters and story motifs. Protags respond to input from speech recognizers, text based natural language recognition systems and manipulation of objects in the virtual world in which these characters reside.

Abstract: This document discusses, among other things, a computer software program that implements a graphical workspace for idea management. This includes a graphical user interface (GUI) with an idea map window and a word processor document window. The idea map represents ideas as a hierarchical network of nodes and links. An interface automatically updates the word processor document using sequencing information from the hierarchical network. A routine automatically arranges nodes in the 2D representation. Another routine automatically generates virtual 3D representations of the idea map.

Abstract: A computer implemented data processor system automatically disambiguates a contextual meaning of natural language symbols to enable precise meanings to be stored for later retrieval from a natural language database, so that natural language database design is automatic, to enable flexible and efficient natural language interfaces to computers, household appliances and hand-held devices.

Abstract: A method of implicitly forming a context in a dialogue with a computer includes forming megacategories linking one or more attributes to one of a plurality of response templates. The method also includes determining a megacategory by comparing attributes having true variables from a previous input to attributes having true variables in the present input and selecting an appropriate response template corresponding to the megacategory.

Abstract: Disclosed are an apparatus and method of constructing interactive contents. The data processing apparatus may transit a branching graph into a planning domain, wherein information on nodes and arcs of the branching graph may be classified to generate property and class information, and the classified properties may be used as pre-conditions of a plan operator on the planning domain.

Abstract: Methods and apparatus for evaluating decision trees on a GPU are described. In an embodiment, the structure of a decision tree is converted into a 2D “tree” array with each row representing a node in the tree. Each row comprises details of any child nodes and the parameters which are required to perform the binary test at the node. A pixel shader can then be used to evaluate the decision tree in parallel for each input data point in an input array by navigating through rows in the 2D tree array. For each row, data is read from the input array dependent upon the parameters in the row and the shader moves to another row dependent upon the result of the binary test. On reaching a row which represents a leaf node, the pixel shader outputs evaluation results, such as a leaf node index or a probability distribution over classes.

Abstract: A method for building a language for a knowledge base correspondingly to the observation of facts in the world includes describing by a user a world representation by building an ontology, translating the description into restrictions corresponding to the user's prescriptions, observing errors between objects and actions present in an environment and in the prescriptions, and adapting the ontology or the system behaviour in such a way that the errors are moved off.

Abstract: A method generates tag proposals for tagging of a content, wherein the generating of said tag proposals is performed by combining at least two tag proposing procedures in dependence of a work context of a user. The method can be applied with regard to each area where tagging of contents is desired. By use of the method an effective, computing resource saving, and/or flexible tagging is enabled, by which a sufficient number of tags with high quality can be identified.

Abstract: The present invention provides a unique method and user interface that facilitates accessing and browsing objects in which a user begins with a center object (e.g., one or a few focal objects) displayed on a screen and related objects are populated on the screen as well. The related objects can be further organized into clusters whereby each cluster or grouping of objects expands on a particular attribute of the center object. The attributes correspond to metadata. Thus, the objects are populated based upon the metadata of the center object. According to one aspect, the user can access one or more specific objects having a plurality of attributes and then relax at least one of the attributes to see what other objects share at least one attribute with the center object. According to another aspect, the object having the closest match to a search request can be centrally displayed with other close matches arranged by their respective metadata.

Abstract: The present invention is directed to an integrated implementation framework and resulting medium for knowledge retrieval, management, delivery and presentation. The system includes a first server component that is responsible for adding and maintaining domain-specific semantic information and a second server component that hosts semantic and other knowledge for use by the first server component that work together to provide context and time-sensitive semantic information retrieval services to clients operating a presentation platform via a communication medium. Within the system, all objects or events in a given hierarchy are active Agents semantically related to each other and representing queries (comprised of underlying action code) that return data objects for presentation to the client according to a predetermined and customizable theme or “Skin.

Abstract: A method and computer program product for producing a concept semantic network (CSN) from an ontology. Each class, subclass, object, restriction, and property of the ontology is converted into a concept of the CSN. Each hierarchy in the ontology is converted to a concept hierarchy of the CSN.

Abstract: Computer-implemented systems and methods for synthesis of concept definitions and concept relationships from a domain of data, utilizing different semantic processing protocols such as formal concept analysis and faceted classification synthesis from existing domain concepts that have a confidence gradient built into them. A cognitive or an input agent provides an input of an active concept which is matched against existing domain concepts. The resultant pool of relevant domain concepts is then used to derive virtual concept definitions using a semantic processing protocol. The derivation is then overlaid with a concept of relative proximity of an attribute from another within an attribute set. An additional layer of coherence is given by the relative proximity measure. The end result is a pool of related virtual concept definitions in a tree structure.

Abstract: Methods and apparatus are disclosed for dynamically recommending one or more visualizations for a given task based on user behavior, such as a user's interaction pattern with a current visualization. An alternate visualization type is provided to a user by observing actions of the user with a current visualization type; determining if one or more predefined action patterns is detected in the observed actions, wherein at least one of the predefined action patterns has a predefined associated alternate visualization type; and providing the alternate visualization type to the user when the associated predefined action pattern is detected. The one or more predefined action patterns may be defined by one or more rules or an example-based method.

Abstract: A computer system (2) is provided which is arranged to receive network data (1) identifying nodes and links between nodes. The computer system (2) processes the input network data (1) to utilise the network topology to identify nodes and links having high importance for network integrity. A report (4) identify the critical components can then be output.

Abstract: An overall semantic similarity score value between pairs of named entities in a text corpus is obtained by calculating for at least one pair of named entities a plurality of corresponding pair similarity score values according to a first and at least a second classifier using electronic information sources. Each pair similarity score value of the pair of named entities per classifier is normalized by calculating a rank list per classifier, for example, for each named entity. The rank list holds each pair of named entities of the text corpus, wherein a rank of each pair of named entities within the rank list reflects the respective pair similarity score value. Further an arithmetic mean of the normalized pair similarity score value of each pair of named entities is calculated to provide the overall semantic similarity score value.

Abstract: An inspiration model device according to the invention is provided with a spontaneous emotion unit, a knowledge database, and a conception unit. The spontaneous emotion unit prepares, as data, plural emotion states in advance, which are obtained by modeling human emotions, and causes state transitions to occur repeatedly between the emotion states according a stochastic model of the Schrödinger equation. The knowledge database simulates a human inspiration source that is influenced by sensibility by classifying externally collected knowledge data depending on the degrees of correlation with the emotion states, and accumulates the knowledge data. When receiving an external input, the conception unit simulates human conception by combining the external input with an emotion state of the spontaneous emotion unit and searching the knowledge database for related knowledge data using, as a search key, the combination or the like.

Abstract: Systems and methods for populating a database. An ontology is parsed to determine a plurality of keywords. A string-based search engine is utilized to perform a search of documents on a network based on the determined keywords, and at least one document is retrieved. A relation is established between the retrieved document and the ontology, and it is determined if the at least one document is to be stored in the database based on the established relation. If so, the document is stored in the database. The database can be used as part of a standalone or plug-in search engine for retrieving online documents.

Abstract: A semantic infrastructure (SI) system is provided to interface with an information asset management tool, such as a document management system. The SI is a semantic layer that links together structured, unstructured and tacit information. The SI determines a set of valid terms associated with remaining facets based on the term selection for a first facet and in accordance with predefined facet relationships. The present invention links the content of documents to an enterprise view and to a corporate file plan. The SI includes a database storing assets each associated with a plurality of facets. Embodiments of the present invention provide a unified approach, i.e., an approach that can provide file classification, taxonomies, metadata, thesauri and data model functionalities, to better describe and organize information assets using a single database employing a faceted classification system. A stored metadata instance is mapped to an externally supported metadata format.

Abstract: A system and method are provided that overcome the previously described limitations of prior art systems. The computer system, in fact, uses a set of information objects to interface with heterogeneous information sources. Information objects can be combined to form tasks that can be added, deleted and modified without requiring any modifications to the underlying program. In addition, the computer system allows users to navigate through a task and automatically generates links to related tasks based on the contextual information in which each step in the task is performed. As a result, links to related tasks do not have to be defined ahead of time, but rather can be dynamically generated at run time. This is accomplished by associating a semantic type or multiple semantic types with the information generated during each step. This allows the system to present links to tasks that utilize the same semantic types generated during the previous step.

Abstract: A computer implemented data processor system automatically disambiguates a contextual meaning of natural language symbols to enable precise meanings to be stored for later retrieval from a natural language database, so that natural language database design is automatic, to enable flexible and efficient natural language interfaces to computers, household appliances and hand-held devices.

Abstract: A computer implemented data processor system automatically disambiguates a contextual meaning of natural language symbols to enable precise meanings to be stored for later retrieval from a natural language database, so that natural language database design is automatic, to enable flexible and efficient natural language interfaces to computers, household appliances and hand-held devices.

Abstract: A method, apparatus, and computer program product are presented for automatically evaluating Bayesian network models. Operations performed comprise receiving a Bayesian Network (BN) model including evidence nodes and conclusion nodes that are linked with the evidence nodes by causal dependency links, and where the evidence nodes have evidence states and the conclusion nodes have conclusion states. The states of conclusion nodes are set to desired conclusion states and corresponding probabilities of occurrence of evidence states are determined by propagating these states down the causal dependency links. Thus, samples of most likely states of the evidence nodes are generated. Then, states of the evidence nodes are set corresponding to the samples of the evidence states. These states are propagated back up the causal dependency links to obtain probabilities of the resulting states of the conclusion nodes. Finally, a representation is outputted for the probabilities of the states of the conclusion nodes.

Abstract: A network association mining algorithm and associated methods are presented which accepts data from biological and other experiments and automatically produces a network and attempts to explain the behavior of the biological or other system underlying the data using evolutionary techniques. The model and associated methods aim to identify the inter-relationships consistent with data and other prior knowledge supplied to the system. The network is represented in terms of coupled dynamical system. These dynamical systems are represented by differential or difference equations to educe these dynamical systems and coupling between them, an evolutionary algorithm is used. The output of the linkage finder could assist scientists to better understand the systems underlying and to guess at surrogate data.

Abstract: A system and method for classifying text includes a pre-processor, a knowledge base, and a statistical engine. The pre-processor identifies concepts in the text and creates a structured text object that contains the concepts. The structured text object is then passed to a statistical engine, which applies statistical information provided in nodes of a knowledge base to the structured text object in order to calculate a set of match scores, each match score representing the relevance of the text to an associated one of a plurality of predefined categories. The pre-processor may be implemented in the form of an interpreter which selects and executes a script that includes language- and scenario-specific instructions for performing linguistic and semantic analysis of the text.