Abstract: A computer implemented method for knowledge validation includes identifying a fact for validation. A semantic model representing the fact for validation can be created. A context associated with the fact can be identified, and an automaton can be created based at least in part on the identified context. The fact can be validated using the automaton.

Abstract: An enterprise database is accessed through semantic labels to develop models that enhance the database. A database of business objects is accessed, the business objects including data tables that relate semantic labels to enterprise data. One or more rules that use the semantic labels are applied to select enterprise data corresponding to the semantic labels. The selected enterprise data are used to determine modeling parameters that relate a semantic-label input set to a semantic-label output set, the semantic-label input set and the semantic-label output set each including at least one of the semantic labels. The modeling parameters are used to generate a simulation table that predicts an operational range of at least one business object corresponding to at least one of the semantic labels. The at least one business object is augmented in the database by including the simulation table in the at least one business object.

Abstract: Information processing systems, reasoning modules, and reasoning system design methods are described. According to one aspect, an information processing system includes working memory comprising a semantic graph which comprises a plurality of abstractions, wherein the abstractions individually include an individual which is defined according to an ontology and a reasoning system comprising a plurality of reasoning modules which are configured to process different abstractions of the semantic graph, wherein a first of the reasoning modules is configured to process a plurality of abstractions which include individuals of a first classification type of the ontology and a second of the reasoning modules is configured to process a plurality of abstractions which include individuals of a second classification type of the ontology, wherein the first and second classification types are different.

Abstract: In one embodiment, a method for providing software problem solutions includes: obtaining a software problem of a questioning user; obtaining from other users multiple solutions for solving the software problem, each of the multiple solutions being provided as a recording script, and each of the recording scripts includes a user operation sequence and a corresponding semantic node sequence, wherein one or more semantic nodes in each of the semantic node sequences describes meanings of user operations; analyzing, by a computer processor, semantic node sequences in the recording scripts of the multiple solutions to determine recommendation degree information for the multiple solutions; and outputting the multiple solutions and the associated recommendation degree information.

Abstract: Techniques for reasoning data are disclosed. The techniques may include storing data in an ontology. The data may be partitioned and/or distributed to a plurality of reasoners. Processed data from the plurality of reasoners may then be combined, the processed data having been received from the plurality of reasoners and/or having been processed by the plurality of reasoners.

Abstract: Systems and methods are disclosed that perform automated semantic tagging. Automated semantic tagging produces semantically linked tags for a given text content. Embodiments provide ontology mapping algorithms and concept weighting algorithms that create accurate semantic tags that can be used to improve enterprise content management, and search for better knowledge management and collaboration.

Abstract: An approach for building an ontology is provided. Based on a grammar, extracted complex triples are syntactically transformed to identify core terms. The syntactically transformed complex triples are semantically transformed into simplified triples referring to new terms that conceptualize the core adjectives, adverbs and verbs, and assigning the core terms to respective definitions and keys in a reference ontology, thereby retaining the semantics of the complex triples. Based on a meta-schema of the reference ontology, an enrichment transformation of the simplified triples is performed to create simplified and enriched triples by adding relations derived from a correspondence each term in the simplified triples has with the reference ontology and by adding representations of semantics of reference ontology definitions of the terms. The simplified and enriched triples are stored as an ontology representing knowledge in an application providing the free-form text from which the complex triples were extracted.

Abstract: An analytic network process (ANP) storage memory stores an ANP weighted supermatrix representing an ANP model. A processor is in communication with the ANP storage memory. The processor is configured to change priorities of a node in the ANP weighted supermatrix to be more important, to change priorities of the node in the ANP weighted supermatrix to be less important, and to assess a sensitivity of the node which was changed relative to the ANP model. The processor further is configured to maintain a same proportionality in the ANP weighted supermatrix for the changing of the priorities and the assessing of the relative sensitivity.

Abstract: A method is described for semantic classification in human-machine dialog applications, for example, call routing. Utterances in a new training corpus of a new semantic classification application are tagged using a pre-existing semantic classifier and associated pre-existing classification tags trained for an earlier semantic classification application.

Abstract: A system having a processor is programmed to realize practical quantitative assessment of similarity of categorized data. The category data may be stored in a memory as a category graph comprising a graphical data structure having plural parent and child category nodes connected by directed edges, such that sequences of connected category nodes represent hierarchical relations between categories of objects. A similarity metric of a selected pair of categories may be derived, in one embodiment, by analysis of ancestors of the selected pair of categories, including consideration of closest common ancestors in the category graph. Efficiency improvements may include transforming a directed cyclic graph to a directed acyclic graph, and optionally deriving a subgraph to reduce the number of categories under consideration. The software methods may further comprise computing a similarity metric for a pair of objects based on the similarity score for the corresponding pair of categories.

Abstract: Autonomous biologically based learning tool system(s) and method(s) that the tool system(s) employs for learning and analysis of performance degradation and mismatch are provided. The autonomous biologically based learning tool system includes (a) one or more tool systems that perform a set of specific tasks or processes and generate assets and data related to the assets that characterize the various processes and associated tool performance; (b) an interaction manager that receives and formats the data, and (c) an autonomous learning system based on biological principles of learning. Objectively generated knowledge gleaned from synthetic or production data can be utilized to determine a mathematical relationship among a specific output variable and a set of associated influencing variables. The generated relationship facilitates assessment of performance degradation of a set of tools, and performance mismatch among tools therein.

Abstract: A computer-implemented transformational protocol is applied to contextually transform an originating computer-implemented structure into a fuzzy network-based structure. The originating structure may be a hierarchy, for example. The fuzzy network-based structure is adaptively modified based on behavioral information, and recommendations delivered to users may be generated in accordance with the fuzzy network-based structure and inferences from a plurality of usage behaviors. The recommendations may be generated in accordance with a network neighborhood within the fuzzy network-based structure that is based, at least in part, on a navigational context within the originating structure.

Abstract: Methods for conducting a virtual simulation are provided. In one aspect, a method includes receiving a request to generate a virtual simulation between a user and a virtual character, generating the virtual simulation for the user that includes the virtual character, and determining a desired outcome from the user within the virtual simulation. The method also includes selecting a strategy, from among a plurality of strategies, for achieving the desired outcome from the user, selecting an enactment for the selected strategy, from among a plurality of enactments, for the virtual character to execute to achieve the desired outcome from the user in the virtual simulation, and controlling the virtual character to execute the selected enactment for the selected strategy to achieve the desired outcome from the user in the virtual simulation. Systems, graphical user interfaces, and machine-readable media are also provided.

Abstract: A system and method for sharing information across security boundaries including a server for sharing information between networks. The method for includes receiving data structured as semantic statements, retrieving a set of rules and ontology, processing a semantic statement from data with rules and ontology, determining whether the semantic statement is consistent with rules and ontology, and determining a fact that gives rise to an inconsistency if the semantic statement is inconsistent. The method further includes removing the fact that gives rise to the inconsistency and releasing data when the semantic statement is consistent with rules and ontology.

Abstract: A knowledge storage system is described. A specific embodiment is a computer system comprising a knowledge base of general knowledge in structured form which can be added to and queried by untrained users. Various embodiments include the facility for remote computers to access the knowledge stored in the system, natural language questions to be answered, profile screens giving general knowledge about an object in the system, and methods for distinguishing between reliable and unreliable facts.

Abstract: A method and system is provided for validating claim submissions against a claim policy that can perform a comparative analysis by comparing structured or unstructured claim submissions to semantically structured policies to direct and optimize processing of the claim submission. A method and system is also provided for enabling semantic interoperability across different proprietary electronic transaction records. Semantic queries and semantic analysis can be performed on a collection of electronic transaction records originating from different proprietary systems.

Abstract: The present invention involves a system for processing and acting on information comprising a processor and associated storage with a plurality of knowledge units. Each knowledge unit includes at least one item of data or a sequence of further knowledge units. An observation software module obtains experiential data from external events and stores experiential data in a Universe of Information Units. An operator software module acts on information units in a plurality of operations including at least one of: conditional association, causal relationship, assignment of a value, editing operation, self-observation, shock initiation, shock resistance, threshold determination, and generalization. A dynamic engine software module coordinates interaction of the observation and operator software modules and modifies contents of the knowledge units. An energy software module directs activation of at least one knowledge unit. A goal software module applies rules for determining actions of the dynamic engine module.

Abstract: A method for applying pagination includes receiving a request to print a report spanning multiple files, gathering, in response to the request, multiple attributes for the report, and selecting, according to the attributes, multiple pagination rules. Each pagination rule includes a pagination requirement. The method further includes after receiving the request, processing each file by obtaining a document from the file, selecting a pagination rule, corresponding to the document, generating a modified version of the document by applying the pagination requirement in the pagination rule to the document, and appending the modified version of the document to the report. The method further includes dispatching the report to a printer.

Abstract: A computerized method for evaluating and reporting a cause of a performance change in a building management system is shown and described. The method includes receiving an indication of a fault for building equipment of the building management system and determining a root cause for the fault by traversing a causal relationship model including the building equipment and other devices of the building management system.

Abstract: An apparatus and a method for automated semantic annotation of a process model having model elements named by natural language expressions, wherein said apparatus comprises at least one semantic pattern analyzer which analyses the textual structure of each natural language expression on the basis of predefined semantic pattern descriptions to establish a semantic linkage between each model element to classes and instances of a reference process ontology for generating a semantically annotated process model.

Abstract: Generally described is auto generation of an FAQ based on partly textual content. A network service can receive at least partly textual content. A FAQ can be generated based on the content. Questions within the FAQ can be ranked based on popularity, usefulness, etc. When a question in the FAQ is selected, a link can be generated to the portions of the content where the question and answer were derived from.

Abstract: A computerized method for evaluating and reporting a fault in a building management system includes receiving, at a processing circuit, multiple fault indications for different building equipment of the building management system. The method further includes displaying a single fault related to the multiple fault indications rather than reporting the multiple fault indications.

Abstract: A method, system and computer program product for developing a semantic network are disclosed. The system includes a server and a client computer, and the method involves: creating a semantic network containing at least one root concept; performing a set of instructions associated with the semantic network, the set of instructions comprising: transmitting information about the semantic network from the client computer to a server; providing information about at least one resource to the server, the at least one resource containing concepts and relations associated with the at least one root concept; receiving information about a modified semantic network from the server; presenting the information about the modified semantic network to a user; receiving a response from the user; based on the response, further modifying the semantic network. The system interactively modifies semantic networks in response to user feedback, and produces personal semantic networks and document use histories.

Abstract: A method of developing a dialog manager for a spoken dialog service is disclosed. The method comprises selecting a top level flow controller based on application type, selecting available reusable subdialogs for each application part, developing a subdialog for each application part not having an available subdialog and testing and deploying the spoken dialog service using the selected top level flow controller, selected reusable subdialogs and developed subdialogs. The method enables a developer to create a dialog manager that has individual reusable dialog modules that operate independent of the dialog model of the other modules. Application dependencies and context shifts are defined independent of the subdialogs to enable them to be reusable. The spoken dialog server manages context shifts in the spoken dialog by transitioning between dialog modules and subdialog modules.

Abstract: A method for effecting a dialogue with an emulated brain. The method includes the step of receiving a query in the form of a semantic string. The semantic string is then parsed into basic concepts of the query. The basic concepts are then clumped into a clump concept. If the clump concept constitutes part of a dialogue, then the dialogue thread is activated by determining the context of the clump concept and assessing a potential reply from a group of weighted replies, which expected replies are weighted based on the parsed concepts produced in the step of parsing. The heaviest weighted one of the expected replies is selected and the weight of the selected reply after it is selected is downgraded. The selected reply is then generated for output in a sentence structure.

Abstract: Techniques for reasoning data are disclosed. The techniques may include storing data in an ontology. The data may be partitioned and/or distributed to a plurality of reasoners. Processed data from the plurality of reasoners may then be combined, the processed data having been received from the plurality of reasoners and/or having been processed by the plurality of reasoners.

Abstract: In particular embodiments, a method includes accessing a first binary decision diagram (BDD) representing data streams from sensors, accessing a second BDD representing health states associated with specified data ranges, and constructing a third BDD by performing an AND operation between the first and second BDDs.

Abstract: The present invention provides a method for updating betweenness centrality of a graph, which obtains the betweenness centrality of an unweighted graph, which is updated when edges are updated, the method comprising the steps of: obtaining a minimum union cycle (an MUC, a subset of edges of the graph in which every vertex of the graph is incident to an even number of edges) of the updated graph; extracting an MUC (i.e., an MUCU) containing a vertex, which is incident to the updated edge, and calculating the betweenness centrality (i.e., local betweenness centrality) due to the shortest paths (internal paths) in the MUCU; obtaining the betweenness centrality (an increase of an external path) due to the shortest paths of the graph, which are not included in the MUCU; and calculating the betweenness centrality of the graph by adding the increase of the external path to the local betweenness centrality.

Abstract: A method executed by a computer system for generating a high level inferred conclusion from raw data collected from a plurality of data sources by application of an ontology reasoning system, the method comprising the steps of determining availability of intermediate results received from a plurality of shallow reasoners, the intermediate results generated by the plurality of shallow reasoners based on the plurality of data sources; propagating the intermediate results to nodes of an ontology graph; executing incremental ontology reasoning over the ontology graph to generate inferred conclusions; and persisting inferred conclusions in an ontology database.

Abstract: A system and method for sharing information across security boundaries including a server for sharing information between networks. The method for includes receiving data structured as semantic statements, retrieving a set of rules and ontology, processing a semantic statement from data with rules and ontology, determining whether the semantic statement is consistent with rules and ontology, and determining a fact that gives rise to an inconsistency if the semantic statement is inconsistent. The method further includes removing the fact that gives rise to the inconsistency and releasing data when the semantic statement is consistent with rules and ontology.

Abstract: Systems, methods, and other embodiments associated with equivalence reasoning are described. One example method includes constructing a clique map that maps groups of equivalent resources to a representative canonical resource. The clique map is constructed by iteratively inputting batches of equivalence pairs from a semantic model to operating memory and building, in operating memory, one or more cliques for the input batch. Cliques for various input batches of equivalence pairs are merged in memory to produce the clique map for use by the semantic model. Triples associated with the semantic model may be consolidated by replacing resources that are in a clique with their corresponding representative canonical resource.

Abstract: Described embodiments relate generally to ontology-driven complex event processing (CEP). When implemented as a computer (105), the computer (105) enables, in communication with a network, user generation and transformation of an event definition into an ontology-based event definition. A computer-implemented transformer component (140) receives the ontology-based event definition, generates event processing instructions and transmits the event processing instructions to a CEP server (150) over the network. The CEP server (150) then observes a plurality of structured messages containing event data and determines whether the event data satisfy all conditions of the event definition and sends an event message responsive to determining that all event definition conditions are satisfied. The described techniques allow an arbitrary high-throughput CEP to be used.

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: 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 of 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: A method, system, and computer software for information retrieval in semantic networks, has the steps of: acquiring a graph of interest, assuming a novel metric regarding the acquired graph, specifying a query node of interest on the obtained graph, calculating a shortest-path distance from the query node of interest to a plurality of other nodes on the acquired graph, obtaining a ranked list of nodes based on the calculated shortest-path distance, and displaying for a user the retrieved information.

Abstract: Techniques are described for performing synthesis of relationships between a plurality of concept definitions automatically derived from a faceted domain of information. Some embodiments involve identifying at least one facet attribute in an active concept definition specified by user input. In response to determining that at least one explicit relationship and/or at least one implicit relationship exist(s) between the active concept definition and a first concept definition of the plurality of concept definitions, a relationship is synthesized between the active concept definition and the first concept definition.

Abstract: Techniques for reasoning data are disclosed. The techniques may include storing data in a data store which may be a semantic data store. A plurality of reasoning modules are used to reason the data in order to detect violations of one or more business policies. The reasoning modules may include semantic reasoning modules and/or pattern-based reasoning modules. Results of reasoning the data may be displayed to one or more users.

Abstract: According to one embodiment, generating a domain corpus includes accessing a knowledge base. The knowledge base comprises a set of articles. Each article corresponds to a particular topic and comprises one or more terms that link to other articles corresponding to other topics. A first set of first articles is selected from the knowledge base for a domain corpus. A second set of second articles related to the first set of first articles is identified. The second set of second articles is selected from the knowledge base for the domain corpus. The domain corpus is made available to access.

Abstract: Methods and systems for forecasting a future event in an event stream are provided herein. The event stream includes a number of events, wherein each of the events includes an event label and an associated time stamp. The system includes a processor that is adapted to execute stored instructions and a system memory. The system memory includes code configured to generate one or more decision graphs for predicting events with event labels chosen from a number of event labels based on the events within the event stream, wherein the decision graph includes decision nodes and leaf nodes, and wherein each of the decision nodes includes a question. The system memory also includes code configured to analyze event stream data using the decision graph and forecast a future event in the event stream based on the analysis of the event stream data.

Abstract: An approach is provided for providing a co-creation platform. A co-creation application extracts tags from a plurality of information sources reflecting the expertise of a user. The co-creation application creates a model of the user's expertise by applying a probabilistic analysis on the extracted tags. The co-creation application collects assignment information including at least one or more specified areas of expertise, and matches the model of the user's expertise against the specified areas of expertise.

Abstract: Disclosed is a design check knowledge construction system that adequately improves the quality of check knowledge and fully enhances the quality of a product, which is a final target to be checked. The check target knowledge definition section generates check target knowledge definition data, which is obtained by defining check target knowledge (check knowledge) that serves as a target field to be checked, in accordance with the relationship between a word group and words in the word group and with reference to technological ontology concerning technological basic intelligence input from a user input/output section. The word association section extracts a word group from a document data group associated with the word group in the check target knowledge definition data and associates words in the word group with each other in accordance with the document data group including a plurality of document data based on knowledge content.

Abstract: Pre-existing business objects (e.g., component parts of large business applications) may already define a hierarchy of related terms and include a search index created by a pre-existing search function. A semantic network including a plurality of semantic knowledge domains may be constructed automatically, based on the objects' initial terms structure and search index, and further modified by search results and related terms returned by the search function. This way, a customer specific semantic network may be constructed automatically from pre-existing software components and terms.

Abstract: Determining semantics for locations based on user data such as user activities and/or user communications. The user data is captured and analyzed to identify keywords including locations. Location data describing the locations is obtained and associated with the user and keywords. The associations represent user context for the locations. The associations are used to deliver services and/or products to the user at various times such as when user approaches or enters a particular location.

Abstract: An artificial intelligence system and method for interpreting input from a user and generating a response to the user. The input is converted into an array of concepts which are compared to a database of interrelated concepts. A response is generated based on the concepts in the database and their relationship to the concepts in the input array. The system and method may be implemented in a number of electronic or computer devices to interact with humans or computer systems.

Abstract: An enforcement system may include a policy decision point and an adaptive grid. Requests for service from users are passed to the policy decision point which uses enforcer agents in the adaptive grid to enforce policies by selecting from available policy enforcement points. The adaptive grid may also include explorer agents for evaluating enforcement capabilities available to the enforcement system.

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: A method for calculating at least one relationship metric of a relationship between objects has the steps of providing a multi-layered relationship network with a first relationship layer derived from potential relations between objects, a second relationship layer derived from interactions between objects, a third relationship layer derived from explicit relations between objects, and an aggregated relationship layer derived from at least two layers of the relationship layers, and wherein each layer has a graph with one vertex for every object represented in the network and at least one unidirectional and/or bidirectional edge between at least two of the objects, and calculating the edge weights based on the edge weights of at least two relationship layers, selecting at least the relationship with a highest edge weight between an object and other objects, and finally outputting the weights of the selected relationships as the calculated relationship metrics.

Abstract: Aspects of the disclosure can provide a system that includes a knowledge model configured to represent a knowledge society entity with a specific context, a semantic engine, and a plurality of processors. The processors are configured to implement software instructions that instruct the semantic engine to operate a contextual knowledge society network according to the knowledge model. The knowledge model is configured to semantically represent elements and links of the elements under the specific context.

Abstract: A method for effecting a dialogue with an emulated brain. The method includes the step of receiving a query in the form of a semantic string. The semantic string is then parsed into basic concepts of the query. The basic concepts are then clumped into a clump concept. If the clump concept constitutes part of a dialogue, then the dialogue thread is activated by determining the context of the clump concept and assessing a potential reply from a group of weighted replies, which expected replies are weighted based on the parsed concepts produced in the step of parsing. The heaviest weighted one of the expected replies is selected and the weight of the selected reply after it is selected is downgraded. The selected reply is then generated for output in a sentence structure.

Abstract: A computer implemented method for knowledge validation includes identifying a fact for validation. A semantic model representing the fact for validation can be created. A context associated with the fact can be identified, and an automaton can be created based at least in part on the identified context. The fact can be validated using the automaton.