Abstract: An approach is described of structuring resources among a plurality of resources in a system architecture. A method pertaining to such approach may include accessing a knowledge base including attributes relevant to the plurality of resources. The attributes of the knowledge base may include concepts and logical relationships associated with the concepts. The method further may include, responsive to receiving at least one resource to be processed with respect to the plurality of resources, extracting characteristics from the at least one resource based upon the attributes of the knowledge base, and storing the extracted characteristics in a repository. The method further may include, responsive to an application request, creating a URI structure representing at least one matching resource among the plurality of resources that corresponds to the application request.

Abstract: A computer-implemented method, a computer program product, and a computer processing system are provided. The method includes identifying, by a processor using a topic identification system, topic information for a source topic-domain in a corpus. The method further includes extracting, by the processor, an entity from the source topic-domain. The method also includes tagging, by the processor, the entity with the topic information to obtain a tagged entity that includes a tag specifying the topic information. The method additionally includes storing the tagged entity in a memory device. The method further includes performing, by the processor, downstream processing of the tagged entity in a natural language processing pipeline using the tag of the tagged entity as an additional data point.

Abstract: Various embodiments are directed to a system that utilizes regular expression (regex) to recognize at least portions of characters, words, text, numbers, etc. in a structured or unstructured dataset, any patterns associated therewith, and/or similarities between the determined patterns. In examples, a regex-based pattern recognition platform may receive a dataset and determine whether at least a first regex pattern and a second regex pattern can be identified. The occurrences of the first and second regex patterns and the frequency of those occurrences may reveal something about the dataset itself or any patterns contained therein.

Abstract: A system dynamically routes queries from an organization for processing. An incoming query is classified using a base model to determine a canonical group. The query is routed based on the canonical group. Responsive to the query, response data is then provided to the user device. Event data about the query, the routing, and the response data is used to train a first model that is used to determine subsequent routing. When a threshold is reached with respect to the available event data, a second model is trained using the event data. Processing of subsequent queries using the second model results in reduced demand for computer resources and reduces response times. The second model may be retrained on a schedule, or upon occurrence of a trigger event, such as an addition or removal of a canonical group.

Abstract: A system, method, and computer program product are provided for simultaneously determining settings for a plurality of parameter variations. In use, a plurality of parameter variations associated with a device is identified. Additionally, settings for each of the plurality of parameter variations are determined simultaneously.

Abstract: An information processing system includes: a document reception unit configured to receive multiple pieces of document data; a data storage unit configured to store the received multiple pieces of document data; and a correspondence relation estimation unit configured to estimate a correspondence relation at least between an item in a first document data and an item in a second document data out of the multiple pieces of document data stored in the data storage unit. The correspondence relation estimation unit includes an item-item coupling relation extraction unit configured to extract a coupling relation among items in the first document data and a coupling relation among items in the second document data, and a word relationship extraction unit configured to extract a relevance between a word that appears in an item in the first document data and a word that appears in an item in the second document data.

Abstract: Systems and methods for automated sequencing database generation are disclosed herein. The system can include memory that can include a content library database; a graph database; and a model database. The system can include a user device and at least one server. The at least one server can: receive a content aggregation from the content library database; identify content components of the content aggregation based on a natural language processing analysis of at least a portion of the content aggregation; identify explicit sequencing of the content components; generate an intermediate content graph based on the explicit sequencing of the content components; generate a final content graph from the intermediate content graph based on implicit sequencing of the content components; and store the final content graph within the graph database.

Abstract: In one aspect, a regular expression is automatically generated based on user input for fields that are desired to be extracted from log lines. The input may be received by user through an interface provided by a machine such as a controller. The input may identify one or more fields within a log line that should be extracted. Multiple instances of potential regular expression portions may be generated based on the user input, and different portions are combined together to determine if they achieve the desired extraction. Once a complete regular expression is generated based on user input, a user may provide additional input to identify examples or counterexamples of log line fields that satisfy or don't satisfy the user's intended extraction.

Abstract: Techniques for the generation of variable natural language descriptions from structured data are disclosed including receiving input data and generating a first plurality of tuples based on the received input data. A first plurality of sentences and a corresponding second plurality of tuples are obtained from a data repository based on the first plurality of tuples. A second plurality of sentences is generated based on the second plurality of tuples, the first plurality of sentences, and the first plurality of tuples. A sentence is selected from the first plurality of sentences and the second plurality of sentences for each of the first plurality of tuples. At least one paragraph variation is generated where each paragraph variation is generated based on two or more of the selected sentences. The at least one paragraph variation is presented as a natural language description of the input data.

Abstract: Online fraud prevention including receiving a rules set to detect fraud, mapping the rules set to a data set, mapping success data to members of the rules set, filtering the members of the rules set, and ordering members of the data set by giving priority to those members of the data set with a greater probability for being fraudulent based upon the success data of each member of the rule set in detecting fraud. Further, a receiver coupled to an application server to receive a rules set to detect fraud, and a server coupled to the application server, to map the rules set to a data set, and to map the success data to each members of the rules set. The server is used to order the various members of the data set by giving priority to those members of the data set with a greatest probability for being fraudulent.

Abstract: Systems and methods are provided for specifying safety rules for robotic devices. A computing device can determine information about any actors present within a predetermined area of an environment. The computing device can determine a safety classification for the predetermined area based on the information. The safety classification can include: a low safety classification if the information indicates zero actors are present within the predetermined area, a medium safety classification if the information indicates any actors are present within the predetermined area all are of a predetermined first type, and a high safety classification if the information indicates at least one actor present within the predetermined area is of a predetermined second type. After determining the safety classification for the predetermined area, the computing device can provide a safety rule for operating within the predetermined area to a robotic device operating in the environment.

Abstract: Methods, systems, computer-readable media, and apparatuses for parsing a user interface (UI) product to obtain a UI element provided therein, the UI product prepared in a first language. A UI element is replaced with a converted UI element, in which the converted UI element approximates a translation of the UI element into a second language different from the first language. After replacement of the UI element, a detection is made as to whether a UI issue exists. When a UI issue is detected, the converted UI element is modified so that translation of the UI product into the second language does not include the detected UI issue. The UI element is provided in a language different from the first language via the UI product based on the converted UI element.

Abstract: Disclosed herein are a method for providing a personalized recommendation service based on email and an apparatus for the same. The personalized recommendation service may be provided by determining a personalized recommended item targeted at a recommendation target user, creating dynamic image output code for outputting the personalized recommended item, creating an email based on the dynamic image output code and sending the email to the recommendation target user, and calling the most recent item information about the personalized recommended item from a marketing server based on execution of the dynamic image output code when the recommendation target user reads the email. Also, when a user reads an email, the most recent information about items that are being provided in the marketing server may be provided.

Abstract: A processing device receives event notifications for occurrences of infrastructure events from a different event sources. The event notifications have different formats to represent a same type of infrastructure event. The processing device creates uniform event notifications from a base event format for the event notifications, and provides the uniform event notifications to a centralized event handler that corresponds to the base event format within a threshold amount of time to allow a time sensitive action to be performed by the centralized event handler within a time period.

Abstract: Systems and methods for providing an API for a database system. The API may be provided to enable external application developers to build applications that can support the dynamic security model of the content management system and describe the runtime properties of records in data objects. The API of may provide a record property object and/or a query describe object when returning data set in response to a query by providing information about actions an end user can take on the data records, and to provide metadata required to understand a data response.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for prediction of an outcome related to an environment. In one aspect, a system comprises a state representation neural network that is configured to: receive an observation characterizing a state of an environment being interacted with by an agent and process the observation to generate an internal state representation of the environment state; a prediction neural network that is configured to receive a current internal state representation of a current environment state and process the current internal state representation to generate a predicted subsequent state representation of a subsequent state of the environment and a predicted reward for the subsequent state; and a value prediction neural network that is configured to receive a current internal state representation of a current environment state and process the current internal state representation to generate a value prediction.

Abstract: A system and method for optimizing aggregation and analysis of data across multiple data sources of multiple enterprises is provided. Data extraction rules are generated by invoking an automatic rule generation rule. Automatic rule generation rule is invoked if a predefined set of rules is not applicable for extracting data. Further, data adaptation rules is generated if data extracted by applying data extraction rules and a predefined set of rules does not correspond to a predetermined output. The data adaptation rules is encapsulated in a feedback loop for transmitting to the data acquisition unit. Data optimization rules s generated based on data extraction rules and data adaptation rules. One or more metrics is generated based on data optimization rules. The metrics specify characteristics relevant to one or more enterprises.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for generating an optimal classifying query set for categorizing and/or labeling textual data based on a query subsumption calculus to determine, given two queries, whether one of the queries subsumes another. In one aspect, a method includes generating a group of determining queries based on analyzing text within a document; receiving a group of classifying queries; and, for each determining query within the group of determining queries, determining whether at least one of the classifying queries is subsumed by the determining query; and updating the group of classifying queries in an instance in which the classifying query is subsumed by the determining query.

Abstract: Existing policies enforced at or above an operating system (OS) layer of a device are obtained. Translation rules are stored that include data structure descriptions of conditions, corresponding actions performed when the conditions are satisfied, and attributes specified in the existing policies, and attributes of one or more layers below the OS layer that are relevant to policy enforcement in the one or more layers below the OS layer. The existing policies are parsed using the data structure descriptions to identify the conditions, corresponding actions, and attributes specified in the existing policies. New policies are generated that are consistent with the existing policies. The new policies include the identified attributes specified in the existing policies and the attributes relevant to policy enforcement in the one or more layers below the OS layer. The new policies are enforced in the one or more layers below the OS layer.

Abstract: Techniques are presented for rule-based selection of query engines for performing data operations on a variety of datasets stored in heterogeneous data storage environments. Data statements for a subject dataset are mapped to a logical data structure representation of the subject dataset to formulate a logical plan for the data statements. The data statements are analyzed to derive a set of statement attributes associated with the data statements. Query engine attributes describing the query engines available to query various instances of the subject dataset are accessed. A set of query engine selection rules are evaluated subject to the statement attributes and/or the query engine attributes to dynamically select a target query engine for the data statements. A physical plan structured for the target query engine is generated from the logical plan. The physical plan is executed on the target query engine to perform data operations on the subject dataset.

Abstract: This specification describes methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a larger neural network from a smaller neural network. One of the described methods includes obtaining data specifying an original neural network and generating a larger neural network from the original neural network The larger neural network has a larger neural network structure than the original neural network structure. The values of the parameters of the original neural network units and the additional neural network units are initialized so that the larger neural network generates the same outputs from the same inputs as the original neural network and the larger neural network is trained to determine trained values of the parameters of the original neural network units and the additional neural network units from the initialized values.

Abstract: Methods and apparatus, including computer program products, are provided for editing messages via a message-specific user interface. In some implementations, a method may be provided. The method may include receiving, at a user interface, data content of a message corresponding to a business object; presenting, at the user interface, the data content of the message corresponding to the business object, the user interface generated specifically for a type associated with the message; and initiating, at the user interface, at least one of a change and a save to the data content. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: Apparatus and methods for an intelligent batch job testing system are provided. The system may receive a natural language request for batch job testing. The system may generate a graphical representation of a test scenario, based in part on keywords extracted from the natural language request. The graphical representation may include interconnected nodes. The graphical representation may include finite states for one or more of the nodes. The system may generate test cases based on the graphical representation. The system may access batch job data and map the data files using an optimized file layout that corresponds to the batch job data file. Feedback based on test results may be applied to modify test cases and testing protocols to improve testing accuracy.

Abstract: In one embodiment, a network assurance service that monitors a network detects anomalies in the network by applying one or more machine learning models to telemetry data from the network. The network assurance service ranks feedback from a plurality of anomaly rankers regarding relevancy or criticality of the detected anomalies. The network assurance service clusters the plurality of anomaly rankers into clusters of similar rankers, based on the received ranking feedback. The network assurance service uses the clusters of similar rankers to assign reliability scores to each of the anomaly rankers. The network assurance service selects, based on the reliability scores, a subset of the plurality of anomaly rankers to receive an anomaly detection alert regarding a particular detected anomaly to be ranked. The network assurance service provides the anomaly detection alert to the selected subset of the plurality of anomaly rankers for ranking.

Abstract: Techniques for generating a multi-layer network topology on a managed network are described herein. In an embodiment, data that was collected from a plurality of network devices within a managed network is received and analyzed within a multi-layered plurality of decision trees. The plurality of decision trees include a plurality of nodes, one overlay decision tree, and at least one underlay decision tree. The plurality of nodes include a set of logic nodes that communicatively couples the at least one underlay tree to one of the logic nodes on the overlay tree. The received data is then classified by the plurality of multi-layered decision trees.

Abstract: Embodiments are disclosed for facilitating the compilation of measure data. In the context of a method, an example embodiment includes generating, by configuration circuitry of an interpreter, at least one abstract syntax tree based on a CQL file containing measure logic and a CQL grammar file. This example embodiment of the method further includes converting, by the configuration circuitry, the at least one abstract syntax tree into at least one strongly-typed expression tree and storing the at least one strongly-typed expression tree in a memory. Finally, the example embodiment of the method may further include executing, by data evaluation circuitry of the interpreter, the at least one strongly-typed expression tree using retrieved user data. Corresponding apparatuses and computer program products are also provided.

Abstract: A system, method, and computer program product are provided for simultaneously determining settings for a plurality of parameter variations. In use, a plurality of parameter variations associated with a device is identified, where the plurality of parameter variations are organized into a plurality of segments. Additionally, settings for each of the plurality of parameter variations are determined and consistency of the settings across the plurality of segments is ensured.

Abstract: Described herein are relates to frameworks and methodologies configured to enable design and implementation of customised clinical information systems. One embodiment includes a computer implemented method for providing Clinical Information System (CIS) functionalities, the framework including: providing a plurality of purpose-specific CIS interfaces, wherein each interface is renderable at a given client terminal based on CIS interface design data, wherein the CIS interface design data includes: (i) content pages, wherein each content page is configured to contain one or more page objects; and (ii) logical rules defining navigation and behaviour of content pages; providing access to a common central patient information database; providing a content and process design user interface, thereby to enable a user of a client terminal to define, by way of a graphical Interface, CIS interface design data; and operating a content and process engine.

Abstract: An electronic device has a display and a circuitry. The circuitry is configured to obtain location information of a specific item of multiple items located in an environment, wherein the location information of the specific item is obtained based on a correlation between location tracking information of electronic devices moving in the environment and item list data representing items of the multiple items being purchased by users of the electronic devices for which the location tracking information has been provided; and display an indication of the location of the specific item on the display.

Abstract: A method of configuring a network security device includes receiving a changed set of network rules to replace a current set of network rules; using a plurality of network traffic events to perform a first simulation of according to the current set of network rules and a second simulation according to the changed set of network rules; comparing the results of the first and second simulation to identify changes in network traffic allowed and denied between the current set and the changed set of network rules; displaying the changes in allowed and denied traffic for review of the changed set of network rules; receiving an instruction to implement the changed set of network rules based on the review; and filtering network traffic according to the changed set of network rules.

Abstract: Embodiments of the invention are directed to a fraud detection system that stores fraud detection rules and merchant profiles. The fraud detection system allows a user to designate fraud detection rules as core fraud detection rules, and the fraud detection system can automatically populate new profiles with the user's core fraud detection rules.

Abstract: The present invention is directed to a system and methods for integrating flexible event detection into a near real-time streaming environment. A streaming platform streams raw data from multiple sources, adds contextual information to the raw data, and makes inferences from the enriched information. A rule execution operator, being integrated within the streaming platform, executes rules against the enriched information to detect events, using a rule repository that stores a plurality of flexible, dynamic, and customizable rules. When an event is detected by the rule execution operator, the streaming platform may use a middleware component to instantiate actions that are responsive to a detected event. Actions may be directly performed, and/or the actions and instructions for implementing or performing those actions are communicated to external devices.

Abstract: A compiler/loader unit for a RegEx accelerator is described that receives a first set of regular expression rules for implementing the RegEx accelerator, generates, based on the first set of regular expression rules, an initial deterministic finite automata (DFA) graph, and generates, an initial memory map for allocating the initial DFA graph to a memory of the RegEx accelerator. The compiler/loader unit receives receive, a second set of one or more new or modified regular expression rules for implementing the RegEx accelerator and in response performs incremental compilation of the second set of regular expressions. The compiler/loader unit generates, based on the second set of one or more regular expression rules, a supplemental DFA graph and reconciles the initial DFA graph with the supplemental DFA graph to generate an updated memory map for allocating the initial DFA graph and the supplemental DFA graph to the memory of the RegEx accelerator.

Abstract: Methods, computer systems, and computer readable media for transforming raw healthcare data into relevant healthcare data are provided. Transformation of raw healthcare data into relevant data is accomplished by receiving raw data from a plurality of disparate data sources, indexing the data, and mapping the data. Embodiments transform raw data into relevant data through the use of natural language processing, synonymy and ontology mapping, and adaptive knowledge processing. The relevant data is stored in a one record that includes information necessary to understand and represent that patient.

Abstract: A first information communication device is provided with: a biological information acquisition unit that acquires biological information of a first user holding the first information processing device; a mood determination unit that detects a state in which the mood of the first user is estimated as being good on the basis of the biological information; a reason estimation unit that, in a case where a state in which the mood of the first user is estimated as being good is detected, estimates a reason for the mood of the first user being good on the basis of behavior history information indicating a behavior history of the first user; and a transmission control unit that causes a communication unit to transmit reason information indicating the estimated reason, to a second information processing device held by a second user who wishes to be notified of a timing for contacting the first user.

Abstract: In a method of setting an OSD function according to a related technique, it is not allowed to select various superimposing techniques. In a case where a monitoring camera supports a plurality of superimposing techniques, a user is supposed to select one of the superimposing techniques via a troublesome operation. In view of the above, an image pickup apparatus is provided which includes a reception unit configured to receive an acquisition request for information associated with an image superimposing method of the image pickup apparatus, and a transmission unit configured to, in a case where the acquisition request for the information associated with the image superimposing method of the image pickup apparatus is received by the reception unit, transmit information associated with the image superimposing method of the image pickup apparatus.

Abstract: A method for authenticating a mobility management entity (MME) for outbound roaming subscribers includes maintaining a Diameter authentication information request (AIR)/update location request (ULR) mapping database at a Diameter edge agent (DEA). A Diameter AIR message is received at the DEA. The DEA determines that the AIR message includes a visited public land mobile network identifier (VPLMN ID) not of record in the database. The DEA records the VPLMN ID in the database. A Diameter ULR message is received at the DEA, and a VPLMN ID is read from the ULR message. The DEA determines that the VPLMN ID read from the ULR message does not match the VPLMN ID recorded for the subscriber in the database. In response to determining that the VPLMN ID does not match the VPLMN ID recorded for the subscriber in the database, the DEA rejects the ULR message.

Abstract: A platform for managing recommendation models is described. The platform processes and/or facilitates a processing of at least one user identification characteristic associated with at least one device to determine a user identity. The platform further determines at least one communication account active at the at least one device. The platform also causes, at least in part, an association of one or more recommendations models with the user identity, the at least one communication account, the at least one device, or a combination thereof.

Abstract: A method and device for computing a path in a game scene according to embodiments of the present disclosure, comprising: dividing the game scene into a plurality of first areas; dividing each of the first areas into a plurality of convex polygons, based on features of the game scene; combining adjacent convex polygons into a plurality of second areas; computing a first path from a first point to a second point, said first path passing through a group of second areas of said plurality of second areas; and computing, based on the first path, a second path from the first point to the second point, said second path passing through a group of convex polygons of said group of second areas.

Abstract: Various embodiments for providing a narrative summary for fantasy games are described. Embodiments may include a summary engine executing on a logic device. The summary engine may select a beat writer and a story type. The summary writer may select new content from one or more databases of fantasy league data. The beat writer may affect what story type is selected. The summary engine may construct a master template according to the story type that has empty slots. The summary engine may fill the empty slots of the master template with data from the new content to generate a narrative summary, and publish the narrative template with the slots filled. Other embodiments are described and claimed.

Abstract: A method and apparatus for a self-learning user interface is provided. The method comprises receiving selection data that indicates a first plurality of user selections with respect to a first plurality of views of a workflow associated with a task; receiving an instruction to initiate a current session of the workflow; accessing the selection data and one or more models of user behavior generated from a second plurality of user selections associated with a plurality of users; determining a plurality of elements that were not selected by the user; determining to remove at least one of the first plurality of views of the workflow or a subset of the plurality of elements; generating a second plurality of views of web content for the user by excluding the removed at least one of the first plurality of views of the workflow or the removed subset of the plurality of elements.

Abstract: An aspect of the present disclosure provides for inserting custom activities in orchestrated application suites. In an embodiment, an element of interest is first identified in a base suite. The scope of the element of interest in the base suite is then determined. A custom activity is inserted after an end of the scope of the element of interest to form a deployment suite corresponding to the base suite. According to another aspect, the base suite comprises a set of applications, wherein the end of scope of the element is determined to be in a first application of the set of applications, wherein a second application of the set of application immediately follows the first application in a processing flow of the base suite. The custom module is placed between the first application and the second application, wherein the custom module when executed performs the custom activity.

Abstract: A method and system for interpreting a dataset is described herein. The method include computing a rule set pertaining to the dataset, followed by generating a rule cover pertinent to a subset of the rule set. Further, a plurality of distances between the plurality of rule pairs in the rule cover is calculated and a distance matrix based on the calculated plurality of distances is generated. Consequently, the overlapping rules within the rule cover are clustered using the distance matrix and a representative rule from each cluster is selected. Further, at least one exception for each representative rule is determined and the dataset is interpreted using the representative rules and the at least one exception. Thereby, the method provides succinct results in terms of rules and exceptions along with multiple interpretations of the same set of transactions from the dataset, thereby providing a holistic view about the dataset.

Abstract: An apparatus for handling string variables with open domains is provided. In some implementations, the apparatus performs operations including retrieving a first string variable having a first domain, the first domain comprising at least one undefined string value. The operations further include retrieving a second string variable having a second domain, the second domain comprising one or more string values each assigned an integer value in a second set of integer values. The operations further include applying a constraint relating the first string variable with the second string variable. The operations further include comparing the first set of integer values with the second set of integer values and filtering the first set of integer values in the first domain to a third set of integer values in the first domain. The operations further include displaying the third set of integer values for the first string variable.

Abstract: The invention provides, in some aspects, a computer-implemented method for enabling enhanced functionality in a software application. The method includes executing, on a computer, an enhancement engine that is communicatively coupled to a rules base (or other store that contains rules) and/or a rules engine that executes rules (e.g., from the rules base). The enhancement engine receives a request to enable enhanced functionality in an application that is defined, at least in part, by a plurality of such rules, where the request specifies a selected rule in the application for such enhancement. The enhancement engine identifies (or ascertains) a new rule at least partially providing the enhanced functionality and (i) updates the rules base (or other store) to include the new rule along with the others that define at least a portion of the application and/or (ii) effects execution by the rules engine of the new rule along with those others.

Abstract: A quality management platform for home devices is implemented on a computer system and comprises a knowledge repository and a query engine. The knowledge repository includes a knowledge graph of nodes connected by edges. The nodes represent concepts relating to home devices and their operation and faults, and the edges represent relations between the concepts. The query engine receives requests relating to home devices, queries the knowledge graph based on the requests, and returns responses based on the query results.

Abstract: A method, computer program product, and system for analyzing performance of a computer system where at a plurality of time intervals, a set of KPIs of a database and database performance outputs are monitored. A database performance value is calculated based on the monitored KPIs and one or more database performance outputs. In response to determining the database performance value is below a first threshold, a KPI correlation coefficient is calculated. The calculated KPI correlation coefficient with the greatest value is selected as a target KPI. In response to determining that a count of functions of the target KPI meets a second threshold, a dynamic tabular representation of the determined target KPI is generated. A correlation matrix is generated based on the generated tabular representation and the plurality of time intervals and a first set of target functions are identified based on the generated correlation matrix.

Abstract: System receives inputs, each input associated with a label and having features, creates a rule for each feature, each rule including a feature and a label, each rule stored in a hierarchy, and distributes each rule into a partition associated with a label or another partition associated with another label. System identifies a number of inputs that include a feature for a rule in the rule partition, and identifies another number of inputs that include both the feature for the rule and another feature for another rule in the rule partition. System deletes the rule from the hierarchy if the ratio of the other number of inputs to the number of inputs satisfies a threshold and an additional number of inputs that includes the other antecedent feature is at least as much as the number. System predicts a label for an input including features by applying each remaining rule to the input.

Abstract: Systems and methods for automated node status determination are disclosed herein. The system can include a memory. The memory can include a Q-matrix that can include data identifying a relationship between at least a portion of a standard and at least one item of an assessment. The system can include at least one server. The at least one server can provide a first interim assessment including a first plurality of items. Each of the items can correspond to a child evidence node in a Bayesian network. The at least one server can generate first evidence by evaluating responses received to the first plurality of items from the first interim assessment and can calculate a mastery probability according to the Bayesian network of at least one parent node in the Bayesian network based on the generated first evidence.

Abstract: In an example, one or more tokens in a freeform search query are identified, each token corresponding to a search term or combination of neighboring search terms in the freeform search query. A graph structure and flat data corresponding to the graph structure are obtained. A search for results relevant to the identified one or more tokens is performed using a first search process, the first search process using the graph structure and flat data to rank search results according to a first ranking order and populate a why found table. Pieces of data corresponding to the results relevant to the identified one or more tokens are joined using the why found table, forming a view and one or more patterns of operators and terms, in a pattern database, matching the one or more operators and one or more surrounding terms in the freeform search query are found.