Patent classifications
G06F16/2465
BIG-DATA VIEW INTEGRATION PLATFORM
A big-data view integration platform generates integration guided user interfaces (GUIs). A first edge node ingests push-based and pull-based data from a plurality of platform services, which include legacy and non-legacy services having incompatible communication protocols. An event-based queue receives from the first edge node a plurality of queue events as indirect push-based data. A second set of queue events includes direct push-based data as received directly from a non-legacy platform service. A conformity component integrates the push-based data, the pull-based data, and the plurality of queue events into integration data having an enhanced integration format. A view integration component generates a plurality of data views from the integration data. A second edge node exposes the plurality of data views via an access services application programming interface (API). A new service execution component accesses the access services API to generate integration GUIs based on the data views.
Enterprise knowledge graphs using multiple toolkits
Examples described herein generally relate to a computer system including a knowledge graph storing a plurality of entities. A mining of a set of enterprise source documents within an enterprise intranet is performed, by a plurality of knowledge mining toolkits, to determine a plurality of entity names. The plurality of entity names are linked based on entity metadata by traversing various relationships between people, files, sites, groups, associated with entities. An entity record is generated within a knowledge graph for a mined entity name from the linked entity names based on an entity schema and ones of the set of enterprise source documents associated with the mined entity name. The entity record includes attributes aggregated from the ones of the set of enterprise source documents associated with the mined entity name.
Evaluating data using eligibility criteria
Improved methods and systems are disclosed for processing data records. A method includes receiving data records from a plurality of sources for a plurality of submitters and adjusting the data records by adding fields to the records. The added fields may provide normalized data. The method may also include parsing the added fields to identify a data window within the data records with at least a threshold of data for a subset of the plurality of submitters, determining data statistics of the data for each submitter for the determined data window, and appending flags to the records according to the data statistics.
Systems and methods of creating and using a transparent, computable contractual natural language
System and methods of creating and using a transparent, computable contractual natural language are disclosed in which a set of legal contracts are text mined to obtain a structured contractual database. A set of categorized contractual phrases are assembled from the structured contractual database. A transparent knowledge representation language is defined having a set of syntax rules, a set of semantic rules and a set of inference rules. A transparent, computable contractual natural language is the set of contractual phrases that map to the transparent knowledge representation language. A user writes computable legal documents comprised of phrases contained in the transparent, computable contractual natural language.
SYSTEM AND METHOD FOR DYNAMIC DATA FILTERING
Methods, systems, and computer programs, for generating dynamic data filters. In one aspect, a data processing system is disclosed that is configured to perform operations that include receiving a data source agnostic information request (DSAIR), determining, based on the DSAIR, (i) one or more source selection keys and (ii) a data dictionary, identifying, by the data processing system, one or more data sources related to the received DSAIR using the one or more source selection keys, generating a dynamic data filter using one or more of the plurality of terms of the data dictionary, filtering, using the dynamic data filter, information in the one or more data sources that were identified using the source selection keys, and providing the filtered information from the one or more data sources for output by the user device.
AD HOC DATA EXPLORATION TOOL
The disclosed application relates to a tool by which a user may create a cloud workspace that includes a data memory space, as well as a tool for automatically identifying ad-hoc analyses on that data. The solution allows a user to connect to data sources using SQL or GUI tools, combine data from different data sources, prepare and clean the data, mine the data for insights, and move that data into downstream reporting tools for visualization. The system is linked to a code repository to allow data scientists to execute code from the code repository in trial data spaces, investigate that data, and prepare more in-depth analytics for downstream reporting tools.
Management of distributed computing framework components in a data fabric service system
Systems and methods are described for establishing and managing components of a distributed computing framework implemented in a data intake and query system. The distributed computing framework may include a master and a plurality of worker nodes. The master may selectively operate on a search head captain that is chosen from the search heads of the data intake and query system. The search head captain may distribute configuration information for the master and the distributed computing framework to the other search heads, which in turn, may distribute that configuration information to indexers of the data intake and query system. Worker nodes may be selectively activated for operation on the indexers based on the configuration information, and the worker nodes may additionally use the configuration information to contact the master and join the distributed computing framework. This approach may provide numerous benefits, including improved security, flexibility in the selection of worker nodes, and redundancy for failures of physical components of the data intake and query system.
Method, apparatus and system for determining accessible paths between two nodes
The present disclosure relates to a method, apparatus and system for determining accessible paths between two nodes. According to the method of the present disclosure, an adjacency matrix of a graph, which includes a plurality of points and edges connecting the plurality of points, is first established; then, search is made for an accessible path that can reach a destination from a starting point based on the adjacency matrix. Especially, a termination condition for the searching is set based on an already-sought path during the searching, and the corresponding search is terminated in response to the termination condition being met during the searching. With the present disclosure, it may substantially reduce repeated traversal, obvious reduce the time taken to search for accessible paths between two nodes, and significantly improve the efficiency in searching for the accessible path.
Federated data exploration systems and interoperable data exploration apparatuses
A federated data exploration system includes a first and a second interoperable data exploration apparatuses. The first interoperable data exploration apparatus executes a data process engine and has a first data object. The data process engine enables a display screen to display a visualization user interface, which includes a first and second display areas respectively for the first and second data object. The second data object belongs to the second interoperable data exploration apparatus. The data process engine explores the second data object by issuing a sequence of queries in response to a sequence of operations on the second display area to narrow down a target of interest. The data process engine receives a first set of identifiers corresponding to the target of interest from the second data object and produces a target dataset by querying the first data object according to the first set of identifiers.
Cognitive process composition
A system, method, and computer-readable medium are disclosed for cognitive information processing. The cognitive information processing includes processing data from a plurality of data sources to provide cognitively processed insights via a augmented intelligence platform, the augmented intelligence platform comprising a cognitive process foundation platform, the cognitive process foundation platform comprising a cognitive composition platform, the cognitive composition platform being implemented to create custom extensions to the augmented intelligence platform.