G06F16/316

Method and system for configuration management of hierarchically organized unstructured data using associative templates

Methods, computer program products, and computer systems for configuration management are disclosed. Such methods, computer program products, and computer systems include determining whether unstructured data or structured data is available for use as a basis to define an associative template, and in response to a determination that unstructured data is available for use as the basis to define the associative template, determining whether the unstructured data is hierarchically organized. In response to a determination that the unstructured data is hierarchically organized, an associative template can then be defined using the hierarchical organization of the unstructured data, where the unstructured data is hierarchically-organized unstructured data (HOUD).

Data search device, data search method, and recording medium

A non-transitory computer-readable recording medium stores a data search program that causes a computer to execute a process including: receiving a search character string for target text data; and searching for the search character string by a logical operation between index information associated with appearance positions in the target text data of each of characters or words appearing in the target text data as bitmap data and search bitmap data generated to be associated with an appearance order in the search character string of respective characters or respective words constituting the search character string.

On-demand, dynamic and optimized indexing in natural language processing

Indexing natural language processing, a request is received from a user to access a document at a server, the server routes the request to an indexing server. A validation service checks if the CUID of the document is available in the indexing server repository or a file system associated with the indexing server. If the CUID of dataset exists, determine if a timestamp of the new document matches the timestamp of the previously indexed document. Upon determining that the above conditions are fulfilled, the previously indexed data is returned to the server. If it is determined that the above conditions do not match, then a transformation service is invoked at the indexing server. The transformation service compares a hash value of a dataset. If the transformation service determines that the hash value of a dataset in the document is not available, an indexing service is invoked to index the document.

Automated process collaboration platform in domains

A computing server may receive master data, transaction data, and a process model of a domain. The computing server may aggregate, based on domain knowledge ontology of the domain, the master data and the transaction data to generate a fact table. For example, entries in the fact table may be identified as relevant to the target process model and include attributes and facts that are extracted from master data or transaction data. The computing server may convert the entries in the fact table into vectors. The computing server may identify, based on the vectors, an attribute in the process model as being statistically significant on impacting the process model. For example, a regression model may be used to determine the statistical significance of an attribute on the model process. The computing server may generate an action associated with the attribute to improve the process model.

Form Text Extraction of Key/Value Pairs
20210073534 · 2021-03-11 ·

A computer-implemented method, apparatus and program product use the spatial locations of words identified in an unstructured document to both reconstruct lines in the unstructured document and vertically partition the unstructured document. Key/value pairs may then be generated from one or more of the reconstructed lines by using one or more words to one side of the vertical partition as keys and using one or more words to the other side of the vertical partition as values.

SYSTEM AND METHOD FOR PRE-INDEXING FILTERING AND CORRECTION OF DOCUMENTS IN SEARCH SYSTEMS
20210089578 · 2021-03-25 ·

Embodiments as disclosed herein provide a search system with an pre-indexing filter that provides both a sophisticated and contextually tailored approach to filtering documents and a corrector that is adapted to alter a document that has been designated to be filtered out from the indexing process and determine if the altered document should be indexed. The alteration of the document may be tied to the attributes, rules or thresholds used to initially filter the document from the indexing process. The filtering criteria can thus be tailored to a specific context such that both the initial filtering and the alteration process may be better suited for application in that context.

DATA STRUCTURES FOR STORING AND MANIPULATING LONGITUDINAL DATA AND CORRESPONDING NOVEL COMPUTER ENGINES AND METHODS OF USE THEREOF
20210064630 · 2021-03-04 ·

In some embodiments, the present disclosure provides for an exemplary computer-implemented system that may include a longitudinal data engine, including: a processor and specialized index generation software to generate: an index data structure for a respective event type associated with each respective subject or object; where each respective index data structure is a respective event type-specific data schema, defining how to store events of a particular event type to form longitudinal data of each respective subject or object; an ontology data structure that is configured to describe one or more properties of a respective event of a respective subject or object; and longitudinal data extraction software to extract a respective longitudinal data for a plurality of index data structures and a plurality of ontology data structures associated with a plurality of subjects or objects.

Systems and methods for generating and using aggregated search indices and non-aggregated value storage
11853334 · 2023-12-26 · ·

Systems, methods and computer program products for using searchable aggregate indices associated with non-aggregated value storage. In one method, a search system stores metadata values for each of a plurality of objects in a storage unit. The metadata values are stored in corresponding value storage locations that are associated with an identifiable metadata fields. An aggregate index is provided which includes a dictionary of terms that are contained in metadata values associated with a designated set of the metadata fields. The aggregate index is searched for one or more specific search terms, and one or more of the metadata values are retrieved from the value storage locations in response to the search, where the individual metadata fields associated with the retrieved metadata values are identified.

Encoding a route using a probabilistic encoding data structure
11853280 · 2023-12-26 · ·

A network apparatus determines a route from an origin traversable map element (TME) to a target TME based on map data of a network version of a digital map. The route includes a list of route TMEs to be traveled from the origin TME to the target TME. The network apparatus accesses map version agnostic information identifying each TME of the list of route TMEs from the network version of the digital map; generates a map version agnostic identifier for each route TME of the list of route TMEs based on the accessed information; evaluates coding functions based at least on the map version agnostic identifier for each route TME to generate a coded identifier for each route TME; generates an encoding data structure based on the coded identifiers for the route TMEs; and provides the encoding data structure.

Cooperative build and content annotation for conversational design of virtual assistants

In an approach for a cooperative build and content annotation system for conversational design of virtual assistants, a processor formulates a build context based on a build activity of a user. A processor formulates one or more content queries based on the build context. A processor builds a content index by augmenting a text-search index with a neural Information Retrieval (IR) index. A processor searches the content index using the one or more content queries to identify content relevant to the build context. A processor determines at least one recommendation for the user based on heuristic rules applied to the build context and the identified content, wherein each recommendation is a build suggestion or a content annotation suggestion.