Abstract: Artificial intelligence (AI) techniques that map disallowed states and enable access to those states under certain conditions through a search algorithm are disclosed. In other words, scenario boundaries may be crossed by jumping from one scenario that is less desirable or even has no solution to another scenario that is more desirable.

Abstract: A cognitive information processing system comprising a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: receiving data from a plurality of data sources, the plurality of data sources comprising a blockchain data source, the blockchain data source providing blockchain data; processing the blockchain data to generate a plurality of knowledge elements; processing the blockchain data to generate cognitive blockchain data; storing the plurality of knowledge elements and the cognitive blockchain data within a cognitive graph; and, processing the plurality of knowledge elements to generate a cognitive insight associated with a compliance requirement.

Abstract: A method, system and computer-usable medium for cognitive information processing comprising: receiving data from a plurality of data sources, the plurality of data sources comprising a blockchain data source, the blockchain data source providing blockchain data; processing the blockchain data to generate a plurality of knowledge elements; processing the blockchain data to generate cognitive blockchain data; storing the plurality of knowledge elements and the cognitive blockchain data within a cognitive graph; and, processing the plurality of knowledge elements to generate a cognitive insight associated with a compliance requirement.

Abstract: A computer-implemented method configured to train a system to be able to provide answers to questions that do not have a direct relationship established in a database.

Abstract: A content management system provides event data relating to other users' activity or interactions with a content item for display in an activity feed provided in conjunction with a user interface of a native application displaying the content item. Though provided in conjunction with the native application, the event data is maintained separate from the content data of the content item and displayed in the activity feed by an application separate from the native application of the content item. The activity feed permits users to exchange chat messages and retrieve information for multiple versions of the content item.

Abstract: Aspects of the subject disclosure may include, for example, a process that performs a statistical, natural-language processing analysis on a group of text documents to determine a group of topics. The topics are determined according to parameters obtained by training on a sample of documents. One or more topics in a subset of topics are associated to each document, resulting in topic-document pairs. A bias is identified for each topic-document pair, and clusters of topics are created from the subset of topics. Each cluster of topics is determined from a value for each bias of each topic-document pair and from a frequency of occurrence of each topic. Each cluster is presentable according to a corresponding image configuration based on all or a subset of the bias dimensions and the frequency of occurrence of topics in a cluster that distinguishes the cluster from other clusters. Other embodiments are disclosed.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and control systems to provide a platform to facilitate implementation of an interface, and, more specifically, to a computing and data storage platform that implements specialized logic to predict an action based on content in electronic messages, at least one action being a responsive electronic message. In some examples, a method may include receiving data representing an electronic message with an electronic messaging account, identifying one or more component characteristics associated with one or more components of the electronic message, characterizing the electronic message based on the one or more component characteristics to classify the electronic message for a response as a classified message, causing a computing device to perform an action to facilitate the response to the classified message, and the like.

Abstract: Examples of the present disclosure describe systems and methods relating to generating a relevance score on a given natural language answer to a natural language query for ranking the answer among other answers for the query, while generating a summary passage and a likely query to the given passage. For instance, multi-layered, recurrent neural networks may be used to encode the query and the passage, along with a multi-layered neural network for information retrieval features, to generate a relevant score for the passage. A multi-layered, recurrent neural network with soft attention and sequence-to-sequence learning task may be used as a decoder to generate a summary passage. A common encoding neural network may be employed to encode the passage for the ranking and the summarizing, in order to present concise and accurate natural language answers to the query.

Abstract: Systems and methods are provided for collecting and listing entertainment ticket information from multiple data sources, and facilitating the sales of entertainment tickets over a network. In accordance with one implementation, a computer-implemented method is provided for offering to sell entertainment tickets over a network. The method includes the steps of providing exhibition data importation rules for importing exhibition data, electronically receiving the exhibition data from multiple exhibition data feeds in accordance with the exhibition data importation rules, and electronically eliminating any duplicates from the exhibition data. The method further includes the step of providing, over the network, to a user a listing of entertainment exhibitions in accordance with user-selected or selected criteria, in which the listing provides an option to purchase an exhibition ticket from an entertainment ticket provider.

Abstract: Provided is a process including obtaining a corpus having a plurality of time-stamped documents; detecting topics in the unstructured natural language text; determining temporal-metrics of the topics based on time-stamps of documents to which the topics pertain; and predicting based on the temporal-metrics, whether a given topic among the plurality of topics will appear in future time-stamped documents.

Abstract: The integrity of an existing tag set associated with a web module is protected by reviewing user-generated proposed additions to the tag set to determine whether the proposed addition is appropriate. An initial test is made to determine whether a proposed addition is trivial; e.g., includes strings of the same character. If the proposed addition is not found to be trivial, it is assessed to determine its relatedness to the existing tag set. The proposed addition is made a part of the tag set only if it is found to be sufficiently related to the existing tag set.

Abstract: In various example embodiments, a system and method for a Target Language Engine are presented. The Target Language Engine augments a synonym list in a base dictionary of a target language with one or more historical search queries previously submitted to search one or more listings in listing data. The Target Language Engine identifies a compound word and a plurality of words present in the listing data that have a common meaning in the target language. Each word from the plurality of words is present in the compound word. The Target Language Engine causes a database to create an associative link between the portion of text and a word selected from at least one of the synonym list or the plurality of words.

Abstract: A device receives document information associated with a document, and receives a request to identify insights in the document information. The device performs, based on the request, natural language processing on the document information to identify words, phrases, and sentences in the document information, and utilizes a first machine learning model with the words, the phrases, and the sentences to identify information indicating abstract insights, concrete insights, and non-insights in the document. The device utilizes a second machine learning model to match the abstract insights with particular concrete insights that are different than the concrete insights, and utilizes a third machine learning model to determine particular insights based on the non-insights. The device generates an insight document that includes the concrete insights, the abstract insights matched with the particular concrete insights, and the particular insights determined based on the non-insights.

Abstract: A computer generates searching context information relating to appearance frequencies of words or semantic codes in a searching query sentence from the searching query sentence. Semantic analysis is performed on sentences included in documents so as to generate semantic structures, and each of the semantic structures includes three or more semantic codes and a relationship type among the semantic codes. A plurality of context information is generated and each context information relates to an appearance frequency of a word or a semantic code in a group of documents that match each of the semantic structures. The computer specifies one semantic structure of the semantic structures in accordance with the searching context information and the plurality of context information, and searches for a similar document by using the specified semantic structure.

Abstract: An apparatus and method for searching and displaying using cognitive pattern recognition including searching at least one document for at least one search text, wherein the at least one search text is associated with a highlight option; selecting to enable or to disable the highlight option; presenting a quantity of the at least one document in a scaled common image format (CIF); and displaying a selected amount of pages in the scaled common image format (CIF), wherein the at least one search text is shown according to whether the highlight option is enabled or disabled.

Abstract: A computer system with the capability to identify potentially duplicative records in a data set is provided. A computer may collect a data profile for the data set that provides descriptive information with regard to attributes of the data set. Based, at least in part, on the data profile, weights are determined for the attributes. As values of a data record are compared to values of the same respective attributes in other records, the overall likelihood of a match or duplicate, as indicated by the degree of similarity between values, is modified based on the determined weights associated with the respective attributes.

Abstract: Systems, methods, and other embodiments associated with equivalence reasoning are described. One example method includes iteratively inputting batches of unprocessed equivalence pairs from a semantic model to an operating memory. In the operating memory, one or more cliques for the input batches are built until no further batches remain. A clique designates a canonical representative resource for a group of equivalent resources as determined from the equivalence pairs. The one or more cliques are built for the input batches to a clique map in a remote access memory. The clique map is returned for use by the semantic model.

Abstract: Systems and methods for performing unit testing are described. During code level testing of the software code, the software code is scanned and converted into compiled code which is received by the system. The system further converts back the compiled code into its source code which comprises several units of source. However, the system filters out only user-defined units of source code for testing. The system further identifies rules for the units of source to be tested. Further, based on the rules and content of the units of source code, the system determines expected parameters. Further, the system utilizes the expected parameters for generating test eases for units of source code. The test eases generated may be a. combination of positive and/or negative test case. This way, the system automatically generates the test .cases and performs unit testing by using the generated test cases.

Abstract: Systems and methods are disclosed for extending and reinforcing a knowledge graph using wiki-like web pages as a source of information. A web crawler parse a wiki-like source and obtain a topic entity from the source. Relationships between the topic entity and sub-topics within the source are identified and a graph is built with the topic and relationships to sub-topics. A candidate topic in the knowledge graph is identified, and a sub-graph of the knowledge graph is either identified or generated. The knowledge sub-graph contains the candidate topic and relationships to sub-topics. A similarity is computed between the source graph and the knowledge sub-graph. If the two graphs are sufficiently similar, then the source topic graph is merged with the knowledge graph.

Abstract: A system for deriving ontologies to support inferencing with changing context, including changes of time. Embodiment of the invention use a unique system for modeling context and the interactions among multiple contexts in order to compute functions that can modify ontologies for presentation to a reasoning system. A parallel unique system allows previous inferences to be retrospectively modified based on newly derived ontological semantics. The system allows for the creation of new ontological elements and auditable models of agency and cause. It can be implemented using methods that delay evaluation until semantic interpretation is required, either at the ontological or inferential level.

Abstract: An aspect of topic generation includes parsing communications conducted by users through an application. The communications include a communication generated by a sender and response communications received from recipients in reply to the communication generated by the sender. An aspect also includes identifying keywords, timestamps, and indications of sentiment from the parsed communications through natural language processing, determining a focus of the communication generated by the sender based on the keywords identified from the parsing, and formulating a topic for a publication based on criteria including a frequency of occurrence of the keywords in the parsed communications, a threshold level of the indications of sentiment that appear in the parsed communications, and/or a number of the communications containing one or more of the keywords having corresponding timestamps that fall within a threshold period of time. An aspect further includes submitting the topic for publication to the sender.

Abstract: According to one embodiment, a method, computer system, and computer program product for natural language processing is provided. The present invention may include detecting natural language entities, and running parsing algorithms on the natural language entities to determine the relationship between said natural language entities. The present invention may further comprise assigning, by the parsing algorithms, initial scores to detected natural language entities based on the relationship between said natural language entities; choosing a final score for plurality of natural language entities; and comparing the final score against a threshold to determine whether the natural language entities are within the same context.

Abstract: A system, a computer readable storage medium, and a method for determining a suggested component restart order in a computer system on a basis of one or more heuristic analyses of a plurality of input data. The method can include performing one or more sort or merge orders after one or more of each heuristic analysis, combining the one or more sort orders according to a weighting algorithm, generating a recovery dependency graph between each of the components of the computer system, and presenting the recovery dependency graph.

Abstract: A method and system for causing downloads of applications based on user intents. The method includes determining, based on an input search query, a search intent; selecting, based on the determined search intent, at least one application from at least one applications central repository; causing, via a user device, creation of a dynamic display segment, wherein the dynamic display segment includes at least one icon corresponding to the selected at least one application; receiving, from the user device, at least one input indicating a user-selected application with respect to the at least one displayed icon; causing establishment of a direct communication link between the user device and a source of the user-selected application; and causing initiation of a download of the user-selected application on the user device over the direct communication link.

Abstract: A method for document similarity analysis. The method includes obtaining a document to be archived, and identifying a document category similar to the document to be archived. The similar document category is identified by: identifying a document category that includes indexing terms that are identical to indexing terms in the document to be archived, obtaining term frequency vectors for the identical indexing terms in the document to be archived and in the identified document category, generating normalized term frequency vectors, from the term frequency vectors, calculating a common denominator similarity based on the normalized term frequency vectors and a common denominator, and determining that the document category is similar to the document to be archived based on the common denominator similarity. The method further includes registering the document to be archived in the document category.

Abstract: A method and system for detecting a search intent of a user. The method includes tokenizing the search query into at least one tokenized query; sending, to a plurality of engines, the at least one tokenized query, wherein each engine is configured with at least one entity, wherein each entity represents a topic of interest; receiving, from each engine, the at least one entity of the engine and at least one certainty score, wherein each certainty score indicates a probability that a tokenized query of the at least one tokenized query is mapped to the at least one entity of the engine; and determining, based on the received entities and certainty scores, the search intent of the user.

Abstract: Methods and systems for identifying a meaning of an ambiguous term in a natural language query. The media guidance application isolates first and second terms from a query received from a user and identifies, in a knowledge graph, first and second pluralities of candidate components associated with the first and second terms. The first and second terms each having multiple candidate components indicates the first and second terms have ambiguous meanings. The media guidance application matches each candidate component of the first and second pluralities of candidate components to form a plurality of pairs and determines strength of association for each pair in the plurality of pairs. The media guidance application filters the plurality of pairs by strength of association for each pair and determines a plurality of possible meanings based on the filtered plurality of pairs. The media guidance application selects a meaning from the plurality of possible meanings.

Abstract: Described herein is a method and system of geometrically encoding data including partitioning data into a plurality of semantic classes based on a dissimilarity metric, generating a subspace formed by first and second data elements, the first and second data elements being included in first and second numbers of partitioned semantic classes, encoding the first data element with respect to the second data element such that the generated subspace formed by the first data element and the second data element is orthogonal, computing a weight distribution of the first data element with respect to the second data element, the weight distribution being performed for each of the first number of semantic classes and the second number of semantic classes, and determining a dominant semantic class corresponding to an ordered sequence of the first data element and the second data element, the dominant semantic class having a maximum weight distribution.

Abstract: Techniques are disclosed for resolving relationships in a relationship graph of identities. A strength of at least one link from a node of the relationship graph may be reduced, based on at least a count of the links from the node. Further, the reduction may be based on one or more predefined threshold counts. The node having a reduced link strength may be evaluated to identify whether a relationship between the node and a specified node meets predefined criteria for a relationship of interest. A user may be alerted of any identified relationship.

Abstract: Methods and systems are provided for a question answering. In some implementations, a data element to be updated is identified in a knowledge graph and a query is generated based at least in part on the data element. The query is provided to a query processing engine. Information is received from the query processing engine in response to the query. The knowledge graph is updated based at least in part on the received information.

Abstract: Dynamically evolving cognitive architecture system planning is described. A system forms an intent based on a user input, and creates a plan based on the intent. The plan includes a first action object that transforms a first concept object associated with the intent into a second concept object and also includes a second action object that transforms the second concept object into a third concept object associated with a goal of the intent. The first action object and the second action object are selected from multiple action objects. The system executes the plan, and outputs a value associated with the third concept object.

Abstract: A system includes a storage device configured to store a plurality of named entities collected from a plurality of sources, tokenized, and associated with a label. The system includes a tagging apparatus configured to receive textual communications, identify each of the textual communications, tokenize the textual communications, match the textual tokens with the named entities tokens stored in the storage device in order to assign the textual tokens to the labels associated with the named entity tokens, tag the textual communications based on the matching between the textual tokens and the named entity tokens in order to identify the intended meaning of each of the textual communications, and identify the intended meaning of the textual communications based on applying the tags to the textual communications. A method capable of disambiguating named entities using a common sense reasoning approach is also disclosed.

Abstract: A client application of a device collects presence information and other interaction information from an application viewing a content item synchronized with a content management system. The interaction information indicates interactions of a device with respect to a content item. The client application receives presence information from other devices synchronized to the content item and displays a presence indicator in a user interface element. The presence indicator is displayed relative to a user interface element of the application viewing the content item. The displayed presence information may inform the user that other users are editing or viewing the content item, and may permit the user to receive notifications when another user's presence has changed to a particular status.

Abstract: A system, method, and computer-readable medium, including obtaining a plurality of different application program interfaces (APIs), one for each of a plurality of different technology stacks, to be used in a test flow of a product constructed of the plurality of different technology stacks; generating a model of a test flow using each of the plurality of different APIs; defining input and output parameters for each of the plurality of different APIs in the model; automatically generating executable instructions to execute the modeled test flow; and storing a record of the executable instructions to execute the modeled test flow.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for information sharing. The method may receive user created content from a user. It may then extract information, having one or more types of information from the user created content. At least one type of the extracted information is semantic concepts. It may then determine one or more messaging platforms on which to share the user created content. It may determine that based on at least a correlation between: the extracted information; and historical data correlating the extracted information with what messaging platforms the user created content was sent to. I may notify the user of the one or more determined messaging platforms. It may receive a selection from the user of one or more determined messaging platforms. It may transmit the user created content to the selected messaging platform or platforms.

Abstract: Techniques for analyzing and synthesizing complex knowledge representations (KRs) may utilize an atomic knowledge representation model including both an elemental data structure and knowledge processing rules stored as machine-readable data and/or programming instructions. One or more of the knowledge processing rules may be applied to analyze an input complex KR to deconstruct its complex concepts and/or concept relationships to elemental concepts and/or concept relationships to be included in the elemental data structure. One or more of the knowledge processing rules may be applied to synthesize an output complex KR from the stored elemental data structure in accordance with an input context. Multiple input complex KRs of various types may be analyzed and deconstructed to populate the elemental data structure, and input complex KRs may be transformed through the elemental data structure to output complex KRs of different types, providing semantic interoperability to KRs of different types and/or KR models.

Abstract: A method and system for storage traffic modeling in a Software Defined Storage (SDS) is disclosed. The method includes the steps of: collecting observed values of at least one performance parameter in a period of time from a storage node; learning a trend structure of the at least one performance parameter varying with time from the observed values; and providing a predicted value of one performance parameter in a particular point in time in the future. The storage node is operated by SDS software. The trend structure is adjusted based on observed values collected after the period of time. The predicted value is an output of the trend structure which has been adjusted.

Abstract: A computer-automated method and system of providing a searchable knowledge base with decision-relevant attributes (including some subjective or sentiment-based attributes) for a plurality of individual items within a choice set are described. First, information (including texts) relevant to the plurality of individual items in the choice set is harvested from Internet sources. Next, normalized representations of statements are extracted from excerpts of the harvested texts that pertain to attributes of interest for the choice set, and corresponding scores for the attributes are derived from each of the normalized representations. The scores derived from the various harvested sources are aggregated for each attribute of each item. Finally, the knowledge base of the plurality of individual topics is generated.

Abstract: A method, a disambiguation decoder and a system is provided for disambiguation in concept identification. A set of candidate concepts of a surface form in a sequence of surface forms in a plaintext is obtained. First probabilities for the candidate concepts are then determined, wherein a first probability indicates likelihood that the surface form represents the respective candidate concept. One of the candidate concepts is selected for the surface form based on the first probabilities and adjacency of the surface forms in the sequence.

Abstract: A method for providing targeted feedback based on a goal of the feedback. The method includes receiving, by one or more computer processors, a goal desired as a result of an exchange of information between a plurality of users. The method then includes monitoring, by the one or more computer processors, the exchange of information between the plurality of users. The method includes mapping, by the one or more computer processors, the monitored information in a database storing ontological relationships. The method then includes determining based, at least in part, on the received goal and the stored ontological relationships, targeted feedback for the plurality of users.

Abstract: A semantic tagging engine automatically generates semantic tags for the given documents and enables semantic search, based on meanings of search terms and content tags. A Semantic Knowledge Management Tool (SKMT) forms a semantic search and knowledge management platform to search, analyze and manage enterprise content. SKMT scans different content sources and generates indexes of semantic keywords. Its interface allows users to manage various data sources, search, explore and visualize search results at semantic level. SKMT provides high precision of semantic search and semantic data visualization.

Abstract: Methods, systems, and computer program products for providing predicted likelihood of communication between users are disclosed. According to one aspect, the subject matter described herein includes a method for providing predicted likelihood of communication between users. The method includes predicting a likelihood that a first user will initiate communication with a second user based on stored information for the first user that indicates the second user, associating the predicted likelihood with status information for the first user, and providing for indicating the status information with the predicted likelihood to the second user.

Abstract: A method, a disambiguation decoder and a system is provided for disambiguation in concept identification. A set of candidate concepts of a surface form in a sequence of surface forms in a plaintext is obtained. First probabilities for the candidate concepts are then determined, wherein a first probability indicates likelihood that the surface form represents the respective candidate concept. One of the candidate concepts is selected for the surface form based on the first probabilities and adjacency of the surface forms in the sequence.

Abstract: Various methods and devices display a sheet scanning order on a user interface. The sheet scanning order identifies a corresponding panel of a foldable media for each position in the sheet scanning order. The foldable media has multiple panels per side. The foldable media receives printing while unfolded, and the foldable media is folded into a three-dimensional shape after printing. These methods and devices scan sheets in the sheet scanning order to generate scanned images using a scanner. Also, such methods and devices automatically arrange and orient the scanned images to cause a printing engine to print the scanned images on corresponding panels according to the sheet scanning order (using a processor). Such methods and devices print the scanned images on corresponding panels of the foldable media according to the sheet scanning order, using the printing engine.

Abstract: Common sub-process patterns in a plurality of deployed process models may be discovered, and performance measures associated with the sub-process patterns may be computed based on runtime events of the deployed process models. Positive or negative performance patterns among sub-process patterns may be identified and used for creating new process models or improving existing process models.

Abstract: A method and apparatus is described for assigning functional labels to segments of web pages in an application-independent way. In the approach described herein, one of a generic set functional labels are automatically assigned to each segment of a web page, where the generic functional labels may be topic-independent and application-independent. Applications with different needs can determine which segments of the web page to process based on which functional labels correspond to the types of information needed by each application. Thus, the work of classifying the function of each segment of a web page is separated from the work of selecting which segments satisfy the need of a particular application. The work of classification can be performed in an application-independent way, relieving the burden from every application developer from having to create their own classifiers.

Abstract: A digital media link embedding mechanism for generating one or more links for digital media objects embedded in network resources, such as HyperText Markup Language (HTML) or extensible markup language (XML) pages. Particular implementations of the invention allow network application hosting sites, such as blogging sites and social networking or media sites, to automatically insert revenue generating and/or informational links in proximity to digital media objects embedded by users into personal pages, blog entries, on-line forum posts, and the like. In one implementation, analysis to generate the media links focuses on data surrounding a given digitial content object to improve the relevance, or descriptiveness, of the links. Such media-related ad or search links may be more performant (relative to clickthru rates), since the concepts or keywords used to generate the ad and or search are extracted from data surrounding the digital content.

Abstract: Distance query techniques are provided that are robust to network structure, scale to large and massive networks, and are fast, straightforward, and efficient. A hierarchical hub labeling (HHL) technique is described to determine a distance between two nodes or vertices on a network. The HHL technique provides indexing by ordering vertices by importance, then transforming the ordering into an index, which enables fast exact shortest-path distance queries. The index may be compressed without sacrificing its correctness.

Abstract: A method includes receiving a corpus comprising a set of pre-segmented texts. The method further includes creating a plurality of modified pre-segmented texts for the set of pre-segmented texts by extracting a set of semantic terms for each pre-segmented text within the set of pre-segmented texts and applying at least one domain tag for each pre-segmented text within the set of pre-segmented texts. The method further includes clustering the plurality of modified pre-segmented texts into one or more conceptual units, wherein each of the one or more conceptual units is associated with one or more templates, wherein each of the one or more templates corresponds to one of the plurality of modified pre-segmented texts.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems for generating comprehensive test cases covering new events yet to be covered. Embodiments of the present invention can be used to receive a request to generate a test case, wherein the request comprises a coverage schema associated with a first set of events to be covered in the generated test case. Embodiments of the present invention includes updating the coverage schema, wherein the updating the coverage schema comprises adding a second set of events to be covered in the generated test case and generating constraints used to satisfy requirements for meeting the first set of events and the second set of events in the updated coverage schema. Embodiments of the present invention can generate a test case using the generated constraints and the updated coverage schema.