Abstract: Text including at least a first term can be presented on a display. An enterprise glossary can be queried to identify at least a first curation parameter assigned to the first term. A first score can be determined for the first term based, at least in part, on the first curation parameter assigned to the first term. The first score can be assigned to a first data value. The first data value can be presented on the display.

Abstract: A method and apparatus for distribution of applications amongst a number of servers, ensuring that changes to application data on a master for that application are asynchronously replicated to a number of slaves for that application. Servers may be located in geographically diverse locations; the invention permits data replication over high-latency and lossy network connections and failure-tolerance under hardware and network failure conditions. Access to applications is mediated by a distributed protocol handler which allows any request for any application to be addressed to any server, and which, when working in tandem with the replication system, pauses connections momentarily to allow seamless, consistent live-migration of applications and their state between servers.

Abstract: A system and method for identifying specific locations where to attach or detach e-mail attachments based on e-mail storage locations is disclosed. The method allows to search in a mail-attachment connection table all the attachment locations that are in relation to the e-mail where the attachment is to be attached to or to be detached from and to present to a user all attachment locations that have a relevance for the attach/detach operation.

Abstract: A method comprises receiving, by a server computer, a request message comprising at least a credential from a client device. The server computer can hash the credential to form an altered value. The server computer can then determine whether or not the altered value matches one of the hashed values stored in the database. If the altered value matches a matched hashed value, the server computer can determine a range of a plurality of ranges. The range can be associated with the matched hashed value. The server computer can then determine a data item associated with the range. The server computer can provide the data item to the client device.

Abstract: The example embodiments are directed to a system and method for tag mapping. In one example, the method includes receiving a request to perform tag mapping for a target tag of a master data set, the target tag representing a target component of an asset, querying a customer data for a plurality of candidate tag records based on the target tag, tokenizing the plurality of candidate tag records included in the customer data set, reducing an amount of the tokenized tag records in the customer data set based on the target tag and each tokenized candidate tag record, performing tag mapping with the reduced amount of tokenized tag records to identify at least one candidate tag that is a possible match to the target tag, and outputting information concerning the identified at least one matching candidate tag.

Abstract: An episode management device includes: an episode acquisition part that acquires an episode input, in form of text, by a registering user; an episode management part that manages the acquired episode; a registered tag extraction part that extracts a registered tag which is meta information of the episode based on the acquired episode; a registered tag management part that manages the extracted tag as tag information associated with the managed episode; a condition acquisition part that acquires, as condition information, a condition input by a searching user; a search tag extraction part that extracts a search tag from the condition information; a registered tag presentation part that user-selectably presents, to the searching user, the registered tag having high similarity to the search tag; and an episode presentation part that presents, to the searching user, the episode having high similarity to the registered tag selected by the searching user.

Abstract: One example method includes monitoring performance of an element of a runtime environment, where the monitoring includes collecting performance information concerning the element, analyzing the collected information, detecting, based on the analysis of the collected information, an anomaly in the performance of the element and, in response to detection of the anomaly, automatically marking a snapshot of the runtime environment element, and the marking of the snapshot overrides a retention policy applicable to the snapshot.

Abstract: Systems and methods are described for modifying input and output (I/O) to an object storage service by implementing one or more owner-specified functions to I/O requests. A function can implement a data manipulation, such as filtering out sensitive data before reading or writing the data. The functions can be applied prior to implementing a request method (e.g., GET or PUT) specified within the I/O request, such that the data to which the method is applied my not match the object specified within the request. For example, a user may request to obtain (e.g., GET) a data set. The data set may be passed to a function that filters sensitive data to the data set, and the GET request method may then be applied to the output of the function. In this manner, owners of objects on an object storage service are provided with greater control of objects stored or retrieved from the service.

Abstract: A device may receive an instruction to classify software. The device may identify a group of one or more user interfaces associated with the software based on receiving the instruction to classify the software. The device may determine a group of one or more user interface signatures associated with the group of one or more user interfaces. A user interface signature may include information, associated with a user interface in the group of one or more user interfaces, that may be used to classify the software. The device may generate information that identifies a classification of the software based on the group of one or more user interface signatures and based on known signature information. The known signature information may include information that corresponds to a correct software classification. The device may output the information that identifies the classification of the software.

Abstract: A method and apparatus for distribution of applications amongst a number of servers, ensuring that changes to application data on a master for that application are asynchronously replicated to a number of slaves for that application. Servers may be located in geographically diverse locations; the invention permits data replication over high-latency and lossy network connections and failure-tolerance under hardware and network failure conditions. Access to applications is mediated by a distributed protocol handler which allows any request for any application to be addressed to any server, and which, when working in tandem with the replication system, pauses connections momentarily to allow seamless, consistent live-migration of applications and their state between servers.

Abstract: A cloud-based industrial data services (IDS) architecture leverage smart tags, asset models, and data service applications to facilitate secure transaction and exchange of contextualized factory data between different parties as part of a combined technology and commerce platform, or to perform provide asset owners with insights into operation of their industrial assets. The IDS platform supports a set of services that connect providers of smart industrial devices to plant floor and systems owned by the end users of these devices. The cloud-based platform allows asset providers to publish data service applications for purchase and use by end users of their assets, and allows equipment owners to control remote access to selected sets of their industrial data via the cloud platform.

Abstract: A computer system adapts queries in a content management system. A search query is received from a client application. A rule query based on a search query is executed to identify one or more search rules indicating modifications for the search query, wherein each search rule of the one or more search rules is generated by analyzing a starter search query and a target search query of one or more prior query sequences, and content items associated with the target search query of the one or more prior query sequences. The search query is modified by applying the one or more search rules to the search query. The modified search query is executed to select content items. Embodiments of the present invention further include a method and program product for adapting queries in a content management system in substantially the same manner described above.

Abstract: A computer-implemented method for joining data sets with mismatched geographic location naming conventions is provided. The method includes identifying, by the computer, a first dataset and a second dataset as join candidates. The method also includes joining, by the computer, the first dataset and the second dataset when, each row of the first user dataset is associated with a single geographic identifier using a geographic knowledge dataset that includes a geographic name lookup table and each row of the second user dataset is associated with a single geographic identifier using the geographic knowledge dataset, wherein the geographic name lookup table includes a plurality of alias names for each of a plurality of unique geographic locations.

Abstract: Automatic keyphrase labeling and machine learning training may include a processor extracting a plurality of keywords from at least one search query that resulted in a selection of a document appearing in a search result. For each of the plurality of keywords, the processor may determine a probability that the keyword describes the document. The processor may generate one or more keyphrases by performing processing including selecting each of the plurality of keywords having a probability greater than a predetermined threshold value for insertion into at least one of the one or more keyphrases and assembling the one or more keyphrases from the selected plurality of keywords. The processor may label the document with the keyphrase.

Abstract: Systems and methods are disclosed for executing a query that includes an indication to process data managed by an external data system. The system identifies the external data system that manages the data to be processed, and generates a subquery for the external data system indicating that the results of the subquery are to be sent to multiple worker nodes. The system also generates instructions for multiple worker nodes to receive and process results of the subquery from the external data system.

Abstract: A text comparison method is adapted for comparing a query file with an existing file. The text comparison method includes: converting the existing file, by an irreversible method, to obtain a first intermediate file, wherein the first intermediate file includes a plurality of characters, and a number of different characters of the plurality of characters is a predetermined value; receiving a second intermediate file which is a file converted from the query file by the irreversible method; and according to a predetermined string length, comparing the second intermediate file with the first intermediate file by a high repeating-character comparison method to output a comparison result. Therefore, the second intermediate file can be created offline and then only the second intermediate file but not the original query file is submitted through internet for private text comparison.

Abstract: Methods and systems for dynamic data clustering. One of the methods includes: i) receiving a vector representing a (data) item; in response to receiving the vector: a) obtaining clusters within at least one specified metric of the vector to determine a neighborhood of clusters; b) filtering the neighborhood of clusters based at least in part on an age parameter of the clusters to determine whether there are filtered clusters; c) creating a new cluster based at least in part on the item when there are no filtered clusters; and d) storing the new cluster data for the new cluster, wherein the obtaining, filtering, creating and storing steps are performed in near real-time from receipt of the vector; ii) receiving a request for cluster data; and iii) providing cluster data including the new cluster data in response to the request.

Abstract: A portable electronic device comprises a camera, a display screen, and a processor configured to identify a piece of equipment from one of an image of the piece of equipment or of a fiducial marker associated with the piece of equipment captured by the camera, display a header page associated with the piece of equipment on the display screen responsive to identifying the piece of equipment, the header page including options for accessing different types of documentation associated with the piece of equipment, receive an indication from a user of a type of documentation to access, and responsive to receiving the indication of the type of documentation to access, retrieve the documentation from a local memory of the portable electronic device, and display the documentation on the display screen.

Abstract: A universal data management interface (UDMI) system includes a processing system generates a visual interface through which a user can access, manage, and manipulate data on plural different types of remote databases. The UDMI connects to multiple standard database management systems and to allow multiple users to access, manage, and manipulate data within each of the multiple standard database management systems. The UDMI also allows multiple virtual databases that reside in a single database to be available as a network service.

Abstract: Methods, systems, and products help users recall memories and search for content of those memories. When a user cannot recall a memory, the user is prompted with questions to help recall the memory. As the user answers the questions, a virtual recollection of the memory is synthesized from the answers to the questions. When the user is satisfied with the virtual recollection of the memory, a database of content may be searched for the virtual recollection of the memory. Video data, for example, may be retrieved that matches the virtual recollection of the memory. The video data is thus historical data documenting past events.