Abstract: Systems and methods related to dynamically orchestrating execution of a protocol by generating one or more executors and one or more functions using a network controller based on the protocol are disclosed. In one example embodiment, there is provided a method of receiving a user-defined logic to allow the network controller to generate a dataset including a plurality of accumulators, abstract one or more executors and functions, and generate a set of protocols at the one or more functions to activate a respective application stage to fulfill the service request based on the logic in near real-time. Moreover, methods herein may include determining a telemetry and/or insight generation based, at least in part, on the dataset.

Abstract: An apparatus manages a data storage device storing data entries. The apparatus includes the data storage device configured to store a log-structure comprising segments each storing data entries, each data entry including a data field storing data and a time parameter indicative of an age of the data stored in the data field, and a processor configured to modify data stored in the data field of a certain data entry of a certain segment of the log-structure, and update the time parameter of the certain data entry according to the modified data. Modifying the data stored in the data field of the segment of the log-structure improves computational performance in comparison to, for example, other methods that append new and/or modified data to the single log head of the log-structure, which causes contention for the concurrent write operations.

Abstract: Disclosed herein are an apparatus and method for providing sensor data in a sensor device based on a blockchain. A method for providing sensor data in a sensor device based on a blockchain may include creating a device record using encrypted device identification information, registering the device record in the blockchain, creating an event record using event information collected from a sensor, registering the header of the event record, including information about a link to the device record, in the blockchain, and distributing the body of the event record, the body being linked to the header of the event record.

Abstract: Systems, computer program products, and methods are described herein for mitigating data loss in an edge computing environment using machine learning and distributed ledger techniques. The present invention is configured to receive an indication that one or more edge computing nodes is processing one or more portions of a transaction; retrieve dark data associated with each of the one or more edge computing nodes; initiate a machine learning algorithm on the dark data retrieved from each of the one or more edge computing nodes; capture, using the machine learning algorithm, representation information for each of the one or more edge computing nodes from their respective dark data; generate a ledger record for the representation information for each of the one or more edge computing nodes; and register the ledger record for the representation information for each of the one or more edge computing nodes on a first distributed ledger.

Abstract: A system for determining whether an entity is potentially violating regulator)/requirements using a machine learning model. The system includes a repository having a plurality of databases that store data and information in a format accessible to users, and a back-end server operatively coupled to the repository and being responsive to the data and information from all of the databases. The back-end server includes a processor for processing the data and information, a communications interface communicatively coupled to the processor, and a memory device storing data and executable code. The code causes the processor to collect data and information from the databases, store the collected data and information in the memory device, process the stored data and information through the machine learning model to determine whether the entity is potentially violating regulatory requirements, and transmit a communication on the interface identifying that the entity is potentially violating regulatory requirements.

Abstract: Log data that includes a plurality of log records is asynchronously processed to validate a configuration of each log record and data included in each log record. It is determined that one or more attributes of a particular subset of log records of the plurality of log records corresponds to one or more errors. Using the particular subset, one or more enriched log records are generated by augmenting each log record of the particular subset of log records with error information that indicates one or more categories corresponding to the one or more errors. A user interface is generated to facilitate correction of the one or more errors, the user interface comprising a plurality of interactive elements corresponding to a plurality of error metrics of different categories of errors, wherein the one or more categories of the one or more errors are included in the different categories of errors.

Abstract: Systems, computer program products, and methods are described herein for data community detection via data network telemetry. Packet header information and a corresponding record is received via a network sensing module. The record is analyzed to identify the direction(s) of the data transfer. The record is then validated and used to generate at least one directionality map, which is segmented into a plurality of time segments based on a user defined interval. A clustering algorithm is then used to determine at least one community for each of the directionality maps. The at least one directionality maps is then displayed at the user interface of an endpoint device. The at least one community is then provided with a functional group indicator, the functional group indicator compared to a stored functional group indicator to identify any mismatches.

Abstract: Embodiments of the present disclosure provide techniques for deduplicating files during internal stage replication using a directory table of the replicated internal stage that is modified as a cache for storing and retrieving original file-level metadata for the replicated files. An initial list of candidate files for loading from the internal stage to a table of the target deployment is prepared based on the files listed in the internal stage, and refined using a directory table lookup. If there is any inconsistency between the files registered in the directory table and the files listed in the internal stage, the target deployment will inspect the user-defined file-level metadata to obtain original file-level metadata for each file that is present in the internal stage but not in the directory table. This information may be used during deduplication to ensure that no duplicate files are loaded.

Abstract: In some embodiments, a method may include display of a data summary view of a set of events that correspond to query results of a query. Each event of the set of events may include data items of a plurality of event attributes. In embodiments, the data summary view can include various summary reports. Each summary report can include summary entries and a summary graph that each present a summary of data items of a selected event attribute, of the plurality of event attributes. At least one summary report can include summary entries that are selectable by a user. The method may further include filtering the set of event, in response to, and based on, selection of one or more of the selectable summary entries by the user and updating of at least the first and second summary graphs to correspond to the filtered set of events.

Abstract: A method includes receiving, in a first query interface, a query composed by the user by typing commands into a query box of the first query interface and based on the receiving of the query, causing events corresponding to query results of the query to be displayed in the first query interface with fields corresponding to the events. Based on the selection by the user of an option, a second query interface is displayed with a table that includes events that correspond to query results of a loaded query. The table includes columns corresponding to event attributes, rows corresponding to events. Cells are populated with the data items of event attributes, where one of the columns corresponds to a field of the fields displayed in the first query interface. The table also includes interactive regions selectable by the user to add one or more commands to the loaded query.

Abstract: Embodiments of the present application provide a block verification method, apparatus and device. The method includes: acquiring a block to be detected, where a plurality of transactions are stored in the block to be detected; obtaining a plurality of state operation queues according to a state item of each state operation in each transaction, where each state operation queue includes state operations belonging to the same state item; and performing parallel verification on each state operation queue and obtaining a verification result of the block. Each state operation of each transaction in the block to be detected is divided into the state operation queue corresponding to each state item according to the state item, and parallel verification is performed on each state operation queue.

Abstract: Methods and systems disclosed herein may optimize write operations in a transaction to reduce the number of operations to the point where each of the write operations may be performed in parallel. The writer optimizer may review a first write operation and a second write operation to determine whether the first write operation and the second write operation write to the same row in the same table. When the first write operation and the second write operation write to the same row in the same table, the first write operation and the second write operation may be combined to generate a functionally-equivalent third write operation. The third write operation may reduce the number of operations in the transaction by replacing both the first write operation and the second write operation.

Abstract: One or more engine instances are executed on each host to form an engine cluster. A plurality of control instances are executed on a first set of hosts to form a control cluster and comprise a control instance leader and one or more control instance followers. In response to a first host indicating a failure of a neighbor host, a pair-wise focused investigation is initiated to check peer-to-peer connections between the first host and the neighbor host. In response to one or more additional hosts indicating failures of neighbor hosts while the pair-wise focused investigation is being performed, a wide investigation is performed to check connections between the control cluster and the plurality of hosts. One or more hosts are added to an eviction list and an eviction protocol is performed to evict the one or more hosts from the engine cluster using the eviction list.

Abstract: A method of labeling a dataset includes inputting a testing set comprising a plurality of input data samples into a plurality of pre-trained machine learning models to generate a set of embeddings output by the plurality of pre-trained machine learning models. The method further includes performing an iterative cluster labeling algorithm that includes generating a plurality of clusterings from the set of embeddings, analyzing the plurality of clusterings to identify a target embedding with a highest duster quality, analyzing the target embedding to determine a compactness for each of the plurality of clusterings of the target embedding, and identifying a target cluster among the plurality of clusterings of the target embedding based on the compactness. The method further includes assigning pseudo-labels to the subset of the plurality of input data samples that are members of the target duster.

Abstract: A method includes generating a predictive model mapping batch size to estimated memory utilization based on a plurality of prior batch sizes applied for performing a corresponding plurality of prior data format conversions, and further based on a plurality of prior actual memory utilization occurring in performing the corresponding plurality of prior data format conversions. A next batch size is automatically selected for performance of a subsequent data format conversion based on the predictive model and a current memory availability. A batch of data for performance of the subsequent data format conversion is identified based on the batch of data having the next batch size. The subsequent data format conversion is performed the batch of data, and an actual amount of memory utilized in performing the subsequent data format conversion is determined. The predictive model is updated based on the next batch size and the actual amount of memory utilized.

Abstract: The present disclosure provides systems and methods that generate query templates that are expressed in a generic schema-agnostic language. The query templates can be generated “from scratch” or can be automatically generated from existing queries, a process which may be referred to as “templatizing” the existing queries. As one example, generation of query templates can be performed through an iterative process that iteratively generates candidate templates over time to optimize a coverage over a set of existing queries. After generation of the schema-agnostic query templates, the systems and methods described herein can automatically translate/map the templatized queries into “concrete,” schema-specific queries that can be evaluated over specific customer schemas/datasets. In this manner, a query template for a given semantic query (e.g., “return the names of all employees”), is required to be written only once.

Abstract: A method, apparatus, and computer-readable medium for dynamic hierarchical data flow mapping, including storing dynamic data flow mappings, each dynamic data flow mapping including a mapping of data from an input port corresponding to a source data container to an output port corresponding to a destination data container and a dynamic hierarchical field having a dynamic hierarchical data type, determining a rule language corresponding to each dynamic hierarchical field in the dynamic data flow mappings, the rule language defining acceptable parameters for sub-fields of that dynamic hierarchical data type, and generating static data flow mappings by resolving all dynamic hierarchical fields into static hierarchical fields during compilation of the dynamic data flow mappings with the source data container and the destination data container, the static data flow mappings being generated based at least in part on the rule language corresponding to each dynamic hierarchical field and underlying data in one or more

Abstract: Methods and apparatus related to ranking modifications of a previous query. For example, modifications of a previous query may be generated based on a current query issued subsequent to the previous query by substituting one or more n-grams of the previous query with one or more n-grams of the current query. One or more measures of each of the modifications may be identified and, based on such measures, a ranking of each of the modifications may be determined. One of the modifications may be selected as a submission query based on the rankings of the modifications. The submission query may be selected for submission in lieu of, or in addition to, the current query.

Abstract: A database system operates by determining a query operator execution flow that includes a negation of a logical connective indicating a first column of a plurality of rows in a first operand of the logical connective and indicating a second column of the plurality of rows in a second operand of the logical connective; and facilitating execution of the negation of the logical connective of the query operator execution flow against the plurality of rows utilizing first and second index data of a probabilistic indexing scheme on first and second columns of the plurality of rows.

Abstract: An attribute information setting section loads information indicating whether or not access to each of a plurality of files is allowed, into a memory. A readout request receiving section receives a readout request including a file path from a program. A hash value deriving section derives a hash value of a file path included in the readout request. A file confirming section confirms whether or not the derived hash value matches with one of hash values of the files included in software. A determining section refers to the information loaded into the memory by the attribute information setting section in a case in which matching of the hash values is confirmed, to thereby determine whether or not a process on the file which has been subjected to the readout request is executable.

Abstract: Various embodiments are generally directed to techniques for building data lineages for queries, such as SQL queries. Some embodiments are particularly directed to a lineage tool that is able to construct data lineages in a recursive manner that uses the text of a query to identify dependent tables. In several embodiments, the data lineage tool may parse SQL queries to identify columns and dependent tables, including analyzing interdependent queries used to populate dependent tables and proceeding until the true source of data is identified. In several embodiments, the data lineage tool may utilize the relationships and dependencies to build element and table level lineages.

Abstract: A query operator execution flow includes: identifying an OR operator of the query expression; generating a plurality of parallel sub-flows based on a plurality predicates of the OR operator; and generating a plurality of serial sub-flows of the query operator execution flow based on the OR operator of the query expression. A first consecutive one of the plurality of serial sub-flows includes an identifier appending operator, a second consecutive one of the plurality of serial sub-flows includes a tee operator, a third consecutive one of the plurality of serial sub-flows includes the plurality of parallel sub-flows from the tee operator, and a fourth consecutive one of the plurality of serial sub-flows includes a union distinct operator applied to the plurality of parallel sub-flows. Execution of the query is facilitated by applying the query operator execution flow to a plurality of rows indicated by the query.

Abstract: An apparatus may map one or more fields from a plurality of tables having a first table type to one or more mapped fields of a single table having a second table type and index the one or more mapped fields to correspond to a single index for the single table having the second table type. The apparatus may execute a first query using the single index corresponding to the one or more mapped fields to output a result for the first query. The apparatus may execute a second query for search activity that has occurred on the database since a last update to the single index and combine the result for the first query with the search activity that has occurred on the database since the last update to the single index to output a combined result based on the second query.

Abstract: Systems and methods are described for providing previews of deployment of data stream processing instructions sets, sometimes called pipelines, to a stream data processing system. Rather than deploying such an instruction set, which may cause detrimental side effects, previews can be facilitated by conversion of a data stream processing instructions set to a batch query that is applied to an existing data set. An output of the batch query can then be provided to an end user as a preview of output of the data stream processing instructions set, when implemented.

Abstract: An information handling system includes a hardware device having a query processing engine to provide queries into source data and to provide responses to the queries. A processor stores a query to a query address in the memory device, issues a command to the hardware device, the command including the query address and a response address in the memory device, and retrieves a response to the query from the response address. The hardware device retrieves the query from the query address in response to the command, provides the query to the query processing engine, and stores a response to the query from the query processing engine to the response address.

Abstract: Systems, methods, and articles of manufacture are disclosed for learning models of movies, keywords, actors, and roles, and querying the same. In one embodiment, a recommendation application optimizes a model based on training data by initializing the mean and co-variance matrices of Gaussian distributions representing movies, keywords, and actors to random values, and then performing an optimization to minimize a margin loss function using symmetrical or asymmetrical measures of similarity between entities. Such training produces an optimized model with the Gaussian distributions representing movies, keywords, and actors, as well as shift vectors that change the means of movie Gaussian distributions and model archetypical roles. Subsequent to training, the same similarity measures used to train the model are used to query the model and obtain rankings of entities based on similarity to terms in the query, and a representation of the rankings may be displayed via, e.g., a display device.

Abstract: A method for generating a model for recommendations from an item data set for a target data set includes embedding a set of targets from the target data set in a shared coordinate space using a first embedding function, embedding a first set of items from the item data set in the shared coordinate space using a second embedding function, selecting at least one target from the set of targets, and identifying a second set of items from the first set of items that are proximate to the at least one target as candidates from the recommendations.

Abstract: A system and method for improving a predictive accuracy of a machine learning-based virtual conversational agent that includes computing an antecedent context nexus based on query embeddings computed for a preceding query input by a user, wherein the antecedent context nexus includes a pairing of a categorial parameter and a sub-categorical parameter derived based on the query embeddings of the preceding query; creating search logic parameters based on the categorical parameter and the sub-categorical parameter of the antecedent context nexus; executing a context nexus-informed search of a corpus of structured data using at least the search logic parameters; extracting a response candidate from the corpus of structured data based on the execution of the context nexus-informed search; constructing a response to the preceding query based on the extracted response candidate; and returning, via a user interface, the response to the preceding query.

Abstract: Various embodiments described herein relate to predicting potential incident event structures based on multi-model analysis. In this regard, a potential incident event with respect to aggregated data associated with one or more data sources is identified. In response to the potential incident event, one or more potential incident event data structures are identified based at least in part on the aggregated data. Additionally, in response to the potential incident event, one or more actions are performed based at least in part on the one or more potential incident event data structures.

Abstract: A dataset is received for ingestion into a data platform, and a correlation identifier is generated responsive to receiving the dataset. Multiple choreographed services emit multiple event messages. The plurality of choreographed services operate independently of each other based on a plurality of events triggered in a data platform. The plurality of events relate to contents of the dataset and comprising the correlation identifier. A message storage is populated with multiple status updates related to the correlation identifier. A status message associated with the correlation identifier is published in response to a status update of the plurality of status updates.

Abstract: Systems and methods are provided for network and obsolescence management. In one embodiment, a platform device is provided including a real-time system interface module (RSIM), a database module (DBM), a logic control module (LCM) and a reporting module (RM). The platform device collects data for network elements, systems, devices and network services, and examines the network elements and network service to generate a network obsolescence report. The platform device may output an obsolescence report including one or more obsolescence measurements. Processes are also provided for network and obsolescence management.

Abstract: A processing system including at least one processor may obtain a first ontology of a first type of data pipeline component, map the first ontology to a second ontology for a second type of data pipeline component that is stored in a catalog of data pipeline component types, provide a second data schema for the second type of data pipeline component as a template for a first data schema for the first type of data pipeline component, and add the first type of data pipeline component to the catalog of data pipeline component types, where the adding comprises storing the first ontology and the first data schema for the first type of data pipeline component in the catalog of data pipeline component types.

Abstract: Various methods, apparatuses/systems, and media for implementing an automated data extraction, formatting, and distribution module are disclosed. A receiver receives input data to create a feed from a user via a user interface (UI). A processor operatively coupled to the receiver defines reusable data sets to be utilized for creating the feed; and selects desired number of a plurality of first selectable icons for selecting exact data from the reusable data sets required for creating the feed. Each of the selected first selectable icon is associated with a corresponding data source having columns to supply the exact data from the reusable data sets. The processor selects desired number of a plurality of second selectable icons for selecting a desired transformation or formatting process needed for the columns of each data source; creates the feed and defines a custom distribution process of the created feed from the UI.

Abstract: A method for facilitating serialized data interchange and access via an application programming interface is provided. The method includes retrieving a data set from a networked repository, the data set including information in a multidimensional data structure; mapping the data set to a predetermined file format; generating a standardized data set based on a result of the mapping, the standardized data set corresponding to the predetermined file format; persisting the standardized data set in the networked repository; and exposing the standardized data set in the networked repository via the application programming interface.

Abstract: This disclosure enables (1) creation of various tags and (2) tagging of various data structures identified above with such tags. Therefore, once tagged, these data structures can be processed by various application programs, without reprograming of these application programs or with minimal reprogramming of these application programs, because these tags accommodate or account for potential changes to these data structures (e.g., in format) that are made before these data structure are received for processing, as explained above. For example, some of such tags may be business user defined categorizations of data structures that can be evaluated during processing of some of such data structures and subsequently used as inputs to a standardized logic, thereby eliminating of reprogramming of these application programs or minimizing reprogramming of these application programs.

Abstract: A data processing method, platform, and an electronic device are disclosed. The method includes: extracting original data into a message engine based on a preset standardized data interface, the original data including terminal data and system data generated by an application system. The method further includes: reading the original data from the message engine; storing the original data in a distributed file system to form a fact table; storing the fact table in a columnar database; obtaining target column data required for generating a target chart from the columnar database; and generating the target chart according to the target column data.

Abstract: Systems and methods for preparing and analyzing data related to geo-spatial properties. A system generates from a first data source, based on an ontology, a geographic dataset including first data objects representative of first data from the first data source and at least one geo-spatial reference based on respective location information from the first data source that corresponds to the first data. The system can also generate a vector map data tile layer based on the ontology using the geographic dataset and including vector map data tiles, having map geometry data linked to the first data objects by a geo-spatial reference, and corresponding to a portion of a geographic area represented by the vector map data tile layer. In response to requests from the front-end system application for first data related to a geo-spatial feature, tiles can be provided and first data corresponding to selected geo-spatial references can be displayed.

Abstract: Systems, methods, and computer readable media are disclosed for generating one or more improved NFTs are described. For example, a software application embedded with a mobile device may enable a user to search a public and/or private database of videos, select a video from the database, record a selfie-video, audio, or other narration of the video to create a narration file, and create and publish an NFT based on the narration file without leaving the application embedded with the mobile device (e.g., without navigating to a separate token creation platform).

Abstract: A system and method for seamless access to remotely manage documents using synchronization of locally stored documents are provided. In some embodiments, a content management server stores documents in a cache on the user's computer. Documents can thus be accessed and edited using the document in the local file system of the user and synchronized with the content management server asynchronously to access the documents on the local files system. Advantageously, the teachings of embodiments as described can be used in conjunction with content management systems for providing faster access to documents in conjunction with editing and for enabling offline work on such documents.

Abstract: Herein is database administration workflow automation with source annotations and intelligent scheduling techniques for applying a hierarchy of interdependent administrative tasks to distributed and/or nested databases. In an embodiment, a source language compiler analyzes annotations to identify a hierarchy of administrative tasks that administers pluggable databases in container databases. From the annotations, a runtime codebase is generated that implements and invokes the administrative task hierarchy. At runtime, a container database management system (CDBMS) autonomously identifies and instantiates the administrative tasks, including identifying a dependency of a first administrative task on a second administrative task and a lack of dependency of a third administrative task on the second administrative task.

Abstract: A method implementing a fault-tolerant data warehouse using availability zones includes allocating a plurality of processing units to a data warehouse, the processing units located in different availability zones, an availability zone comprising one or more data centers. The method further includes routing a query to a processing unit within the data warehouse, the query having a common session identifier with a query previously provided to the processing unit, the processing unit determined to be caching a data segment associated with a cloud storage resource independent of the plurality of processing units. The method further includes, as a result of monitoring a number of queries running at an input degree of parallelism, determining that the processing capacity of the processing units has reached a threshold; and changing a total number of processing units using the input degree of parallelism and the number of queries.

Abstract: Not all facts in a data warehouse are described by the same set of dimensions. However, there can be associations between the data dimensions and other dimensions. By maintaining a set of relationships that are capable of linking the dimensional keys used in existing data to the keys of an associated dimension, a data transformation can be constructed that summarizes by the original and by the associated dimensions in feeds in an analytical data mart (cube) that includes all the dimensions. This cube can then be consolidated and analyzed in a slice-and-dice fashion as though all the dimensions were independent. Data transformed in this manner can be analyzed alongside data from a source that is keyed by all of the dimensions.

Abstract: In a processing system 101, a first processing device 111 obtains first characteristics information indicating a characteristics of users in a first environment, divides the users into first clusters according to the first characteristics information, and transmits, to a second processing device 121, belonging information indicating which of the first clusters each of the users belongs to. The second processing device 121 obtains second characteristics information indicating characteristics of the users in a second environment, and divides the users into second clusters according to the belonging information and the second characteristics information.

Abstract: Concepts for creating a metatype tree for metatype introspection are presented. One example comprises decoding a parent metatype from a synthetic dataset by decoding one or more child metatypes of the parent metatype. The method then comprises creating a metatype tree comprising a parent node and one or more child nodes of the parent node. The parent node comprises the decoded parent metatype and the one or more child nodes of the parent node comprise the one or more decoded child metatypes.

Abstract: There is disclosed a method for using a computer to enable correction of misclassified labels in a database. The computer initially applies a dataset (including labels pointing respectively to categories) to a first classifier, which includes a first loss function. Pursuant to the initial application, the computer determines that one or more labels have been misclassified. Responsive to such determination, the computer changes the first loss function to a second loss function to form a second classifier including the second loss function. The computer then applies the dataset to the second classifier for enabling correction of the one or more misclassified labels.

Abstract: In an illustrative embodiment, an automated system engineers customized feature vectors from geospatial information system (GIS) metadata. The system may include computing systems and devices for extracting metadata for GIS features located within a predetermined distance of a property from a GIS map file and storing the extracted GIS features within a feature vector. The system can augment each of the extracted GIS features with amplifying data features extracted from external data sources. The system can calculate a distance between the property and each extracted GIS feature, which establishes a relationship between the property and each GIS feature and associated amplifying data features. Amounts of correlation between each of the extracted GIS features and associated amplifying data features within the feature vector and a market assessment of the property location can be identified using a data model trained with a data set customized to characteristics of the property.

Abstract: The mobile terminal-oriented complex condition geographic information query method, device and medium are disclosed, and the method includes: determining geographic information query condition semantics, and setting complex condition query contents according to condition semantic regulations; based on a preset query rule, analyzing conditions meeting the rule, and obtaining attribute information of target objects and attribute information of condition objects forming complex conditions; and according to the attribute information of the target objects and the attribute information of the condition objects, performing server calculation query and returning a geographic information query result. Based on collection, storage and classification of the geographic entity position information, the geographic entity position information of a specific type and space limitation is inquired, so that the function of simultaneously limiting the conditions of target objects by the mobile terminal is enriched.

Abstract: Systems and methods for similarity search are described. Embodiments identify a document and a query corresponding to a matching phrase in the document, encode the query and a candidate phrase, score the candidate phrase using at least one learning-based score and at least one surface form score, wherein the at least one learning based score is based on the encoding, and the at least one surface form score is based on a surface form of the query and a surface form of the candidate phrase, and select the matching phrase based on the scoring.

Abstract: A search assistant method, the method of searching for patent documents material to elements of a target patent document including: receiving the target patent document including the elements, the target patent document being machine-readable; selecting keywords from the elements; identifying synonyms corresponding to the keywords in a synonym database; forming the keywords and the identified synonyms into a search string; identifying patent documents in a patent database based on the search string; highlighting the keywords and the identified synonyms in the identified patent documents; ranking the identified patent documents based on relevance of the highlighted keywords and the highlighted identified synonyms in each of the identified patent documents to the search string; determining citations in at least one of the ranked identified patent documents for each of the highlighted keywords and the highlighted identified synonyms; and mapping the elements of the target patent document to the determined citati

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for information processing. In an information processing method, based on multiple weights corresponding to multiple words in text, a computing device determines a target object associated with the text among predetermined multiple objects, and also determines, among the multiple words, a set of key words with respect to the determination of the target object. Next, the computing device determines, among the set of key words, a set of target words related to a text topic of the text. Then, the computing device outputs the set of target words and an identifier of the target object in an associated manner. In this way, the credibility of the target object associated with the text that is determined by the information processing method is improved, thereby improving the user experience of the information processing method.