Abstract: A set of documents is filtered for entity extraction. A list of entity strings is received. A set of token sets that covers the entity strings in the list is determined. An inverted index generated on a first set of documents is queried using the set of token sets to determine a set of document identifiers for a subset of the documents in the first set. A second set of documents identified by the set of document identifiers is retrieved from the first set of documents. The second set of documents is filtered to include one or more documents of the second set that each includes a match with at least one entity string of the list of entity strings. Entity recognition may be performed on the filtered second set of documents.

Abstract: A method and a system for managing cache files, adapted for a local end apparatus to manage files cached from a service end apparatus, are provided. In the method, a file is divided into a plurality of segments, and a part of the segments are downloaded from the service end apparatus and stored in the local end apparatus. Then, the segments of the file to be downloaded are increased or decreased according to a utility rate of the file.

Abstract: A request is received via an input device of a computing device for a hypertext link to an item of web content rendered on a display of the computing device. It is determined whether a markup language (ML) document used to render the web content includes an existing page anchor proximate to an item reference within the ML document. The hypertext link is configured based upon the determination of whether the ML document includes the existing page anchor proximate to the item reference within the ML document. The configured hypertext link is returned in response to the request.

Abstract: Methods and systems for identifying information based on matching information to a query based on an index value are disclosed. In one aspect, a method for identifying information entered by a user includes computing an numeric index value, receiving input, calculating a query value, comparing the query value to the index value, and displaying items from the dataset.

Abstract: Computer-implemented methods, systems and products are provided for calculating a ranking value for business objects. Creating the ranking value for business objects may comprise calculating the number of references a business object is referenced to, mapping the business object together with the number of references of the business object into a document structure, and providing a ranking value according to the number of references.

Abstract: Embodiments described herein are directed to generating a subset aggregate document from an existing aggregate document. Data pages in an existing aggregate document that satisfy node selection criteria are identified. An aggregate document slice is created that includes the data pages that satisfy the node selection criteria. Connections between the data pages from the existing aggregate document to the aggregate document slice are imported to form at least one continuous path with the data pages.

Abstract: A processor-implemented method, system, and/or computer program product defines multiple context-based conformed dimensional data gravity wells on a context-based conformed dimensional data gravity wells membrane. Conformed dimensional objects and synthetic context-based objects are parsed into n-tuples. A virtual mass of each parsed object is calculated, in order to define a shape of the multiple context-based conformed dimensional data gravity wells that are created when data objects that are pulled into each of the context-based conformed dimensional data gravity well frameworks on a context-based conformed dimensional gravity wells membrane.

Abstract: The present disclosure describes methods, systems, and computer program products for providing a business process visibility resource model. One computer-implemented method includes receiving a request for process data from a client device, parsing the received request to determine a type of process data to return and to recover request parameters, determining the type of process data requested, accessing a process resource model and retrieving process data based upon the recovered request parameters, generating a response returning data in a format compliant with the type of process data requested, and transmitting the generated response data.

Abstract: A user saves a structured query defining connections between two or more objects maintained by a social networking system. The social networking system finds objects matching the structured query, either by periodically performing searches for new objects or by analyzing objects as they are added or modified. The user creating the saved query can subsequently view the matching objects.

Abstract: Disclosed are systems and methods for extracting semantic-based keywords through mining word semantics using an online encyclopedia's taxonomy. Described is the use a semantic bipartite graph that relates candidate keywords and topics.

Abstract: There is provided a technique for automatically acquiring metadata with respect to various organizations which significantly reduces the man-hours required to prepare models for metadata extraction. With a pair comprising a document and metadata appearing therein as input, using a layout feature, and proximate text string and partial text string features with respect to metadata and a text string that is not metadata, the use of the layout feature, the proximate text string and the partial text string with respect to the automatic acquisition of metadata is automatically configured (see FIG. 1).

Abstract: The present description relates to a computer-implemented method, computer system, and computer program product for optimization of evaluation of a policy specification. In one aspect, the computer-implemented method for optimization of evaluation of a policy specification may comprise receiving the policy specification represented as a tree, the tree comprising a plurality of nodes. A visiting history of the tree may be determined by computing a density at least for each node in a subset of the plurality of nodes having been visited. The density may be determined by a relationship between a position of a node v in the tree and a frequency F(v) in which the node v is visited. The tree may be transformed with respect to the visiting history into a similar tree such that sibling nodes in the subset of the plurality of nodes are sorted in decreasing order according to their density.

Abstract: In one embodiment, a method receives a specification for aggregating data from processing of beacons. A beacon is associated with an event occurring at a client while a user is interacting with a web application and including unstructured data. The method then parses the specification to automatically generate an aggregation to aggregate structured data that has been converted from the unstructured data and stores dependency information for changes to the aggregation. State information is analyzed and the dependency information to determine when a change in the state information indicates that a change should be made to the aggregation. The method then dynamically changes the aggregation based on the analyzing to generate a new aggregation to aggregate different data based on changed information.

Abstract: A method and system for improving aggregated data sets through crowd sourcing. The method includes organizing a plurality of data sets into an aggregated data set, providing search access to at least a portion of the aggregated data set based upon a subscription level associated with a user, and returning results to the user. Organizing the plurality of data sets into an aggregated data set includes receiving data from a plurality of sources, parsing the data, translating the parsed data into its native format and content, tagging the parsed data with attributes detailing how the data is entered, wherein the attributes comprise geographic location information, and mapping the translated data into a plurality of database tables within the aggregated data set. The system includes various components for performing the method.

Abstract: A system and method for managing business intelligence data is described. In some example embodiments, the system extracts data and metadata from a business intelligence file, generates a data bundle of the data and metadata, generates an application bundle based on the data bundle, and generates an interactive document using the data bundle and application bundle.

Abstract: A system and method for performing real-time conversion of data which is present in the form of messages on JMS-compliant or other messaging systems into database transactions; which can then subsequently be applied to multiple heterogeneous databases or other systems. In accordance with an embodiment, the invention provides a means by which data can be read from messages in a messaging system, and converted to a set of database operations that are then stored as a persistent trail file. The operations can then be routed via a network and applied to target systems as required, for example to maintain a replicated set of information at one or more different or heterogeneous systems. The data in the message can be formatted in a variety of ways, for example, as fixed width, delimited, or XML data, and the system can be configured to convert this data as appropriate.

Abstract: Database storage of hierarchically structured messages is facilitated based on structural semantic reflection of the message and automatic reconciliation of the messages. The structural semantics of an incoming message may be assessed and database storage provisioned based on the structural semantic reflection of the message. The system may auto-adapt over time as incoming messages from a known source change and automatically generate code which applies the sequential logic to a stream of messages in order to represent the latest state for a given context. Furthermore, the hierarchical semantics of messaging formats may be applied to a flexible set of database structures that represent the raw contents of the messages.

Abstract: The data store for a natural-language computing system may include information that originates from a plurality of different data sources—e.g., journals, websites, magazines, reference books, and the like. In one embodiment, the information or text from the data sources are converted into a single, shared format and stored as objects in a data store. In order to ingest the different documents with their respective formats, a natural language processing system may perform preprocessing to change the different formats into a normalized format. When a new text document is received, the text may be correlated to a particular properties file which includes instructions specifying how the preprocessor should interpret the received text. Based on these instructions, a preprocessor identifies relevant portions of the text document and assigns these portions to formatting elements in the normalized format. The text may then be stored in the objects based on this assignment.

Abstract: The data store for a natural-language computing system may include information that originates from a plurality of different data sources—e.g., journals, websites, magazines, reference books, and the like. In one embodiment, the information or text from the data sources are converted into a single, shared format and stored as objects in a data store. In order to ingest the different documents with their respective formats, a natural language processing system may perform preprocessing to change the different formats into a normalized format. When a new text document is received, the text may be correlated to a particular properties file which includes instructions specifying how the preprocessor should interpret the received text. Based on these instructions, a preprocessor identifies relevant portions of the text document and assigns these portions to formatting elements in the normalized format. The text may then be stored in the objects based on this assignment.

Abstract: A source virtual machine (VM) disk file associated with a VM is parsed to generate metadata representing files stored in a virtual storage device of the VM, where the VM is one of VMs hosted by a VM monitor (VMM). In response to a request for an incremental backup of files stored in the source VM disk file, a file attribute of each of the files is examined based on the metadata to identify one or more files that have been modified within a predetermined past period of time. File records associated with the identified files are determined based on the metadata that have been modified within the predetermined past period of time. The identified file records are then backed up from the source VM disk file to a target VM disk file, without having to back up unmodified files in the source VM disk file.

Abstract: A method for analyzing multiple log files generated by interacting software modules. In a first stage the log files are parsed by a log parser and their contents stored in a database. In a second stage, queries are run on the database to combine related log entries from multiple files. The files may contain trigger entries corresponding to the sending of events and handler entries corresponding to the handling of events, which may be used, in queries, to link related log file entries. Query results may be displayed as clickable links allowing a user to open a log file and view a log entry related to the query result by clicking on such a link.

Abstract: Large quantities of data can be processed and/or queried relatively quickly using a combination of continuous event processing and a Map-Reduce algorithmic tool. The continuous event processor can continuously produce real-time results by merging (a) CQL query results from events received since a currently executing Map-Reduce job was started with (b) a most recent query result produced by a most recently completed Map-Reduce job. When the currently executing Map-Reduce job completes, its query result can be stored and made accessible to the continuous event processor, and a new Map-Reduce job can be started relative to event data that has grown in size since the execution of the last Map-Reduce job. The Map-Reduce algorithmic tool provides a convenient mechanism for analyzing and processing large quantities of data.

Abstract: A system, method and a computer-readable medium for optimizing cascading style sheet (CSS) rules. The system includes a parser, an optimizer and a compiler. The parser is configured to generate a template tree and a CSS tree. The template tree is associated with a template file that includes one or more templates. The CSS tree is associated with a CSS file that includes one or more CSS rules. The optimizer is configured to traverse the template tree and the CSS tree, and identify each node in the template tree that has a reference to a CSS node in the CSS tree. When the reference exists, optimizer retrieves a CSS rule from the CSS node and appends the CSS rule to the node in the template tree. The compiler compiles the appended template tree.

Abstract: A system is disclosed that simplifies configuring an MES entity corresponding to a SCADA system object representing plant equipment. The system includes an equipment model builder (EMB) that receives a set of configured UCO information for a modeled piece of plant equipment in a SCADA system. The EMB extracts relevant MES information from the utilization capability object and invokes an application interface on an MES database to create a corresponding entity (e.g., a database element). Another aspect of the disclosed system and methods involves the enhancement of a SCADA system object, through a new MES facet, to support acquiring and reporting equipment status received via the SCADA system to a corresponding MES entity. A raw reason code configuration interface is provided by UCO configurator computer software executed on a computer. Each raw reason code is associated with a prioritized logical expression defining circumstances under which the reason code becomes true.

Abstract: Target word recognition includes: obtaining a candidate word set and corresponding characteristic computation data, the candidate word set comprising text data, and characteristic computation data being associated with the candidate word set; performing segmentation of the characteristic computation data to generate a plurality of text segments; combining the plurality of text segments to form a text data combination set; determining an intersection of the candidate word set and the text data combination set, the intersection comprising a plurality of text data combinations; determining a plurality of designated characteristic values for the plurality of text data combinations; based at least in part on the plurality of designated characteristic values and according to at least a criterion, recognizing among the plurality of text data combinations target words whose characteristic values fulfill the criterion.

Abstract: Implementations for computer-based systems, apparatus and methods for map search based on user query parsing. For example, a computer-implemented map search method is provided to include parsing an input entry from a user for map search into a location part indicating location information in 5 the input search entry and a query part indicating a search target associated with the location part in the input entry; and conducting a map search to obtain a geographic area or location based on the location part and to search for information on one or more entities that are associated with the query part and that are located at, within, or near the obtained geographic area or location.

Abstract: Functionality available on an enterprise server is applied to HTML content from a remote server. HTML content is collected from remote servers including remote markup tags upon request from an end user. The HTML content for the remote markup tags is parsed and converted to content formatted for enterprise server functionality. The converted content is executed at the enterprise server. Remote server and enterprise server data are then transmitted to the end user. Tags and/or libraries may be extensible, such that they may be created or modified, and the tags may or may not be included within a supplied library of tags and/or a created library of tags, or any combination thereof.

Abstract: Embodiments of the invention provide systems and methods for searching a repository of information such as a database using a keyword search and/or an attribute search in near real time. According to one embodiment, a method of searching a repository of information can comprise receiving a set of search criteria for performing the search and selectively performing one or more of an attribute search and a keyword search of the information in the repository based on the received search criteria.

Abstract: Various embodiments provide an ability to abstract type resolution between multiple type systems. At least one type can be described in one or more programmatically accessible file(s). In some embodiments, an application using a different type system can programmatically access and resolve a type of the at least one type system without knowledge of a location of where a description of the type resides. Alternately or additionally, type descriptions contained in the one or more programmatically accessible file(s) can be analyzed and restructured into one or more new programmatically accessible file(s) based, at least in part, upon the type descriptions.

Abstract: The present invention is related to a decision-support system and method for providing with a score an object represented by a target item from a multidimensional space, said score being representative of the probability that the object satisfies a given binary property. The method and/or decision support-system may be performed in a computer environment comprising processing means connected to memory means.

Abstract: A method of processing a sequence of characters, the method comprising converting the sequence of characters into a sequence of tokens so that each token comprises a lexeme and one of a plurality of token types. Each of the plurality of token types relates to at least one of a plurality of predetermined functions, wherein at least one said token type relates to multiple functions of the plurality of predetermined functions.

Abstract: A classification hierarchy regeneration system is provided, wherein when a new classification hierarchy is generated by restructuring an existing classification hierarchy, a classification hierarchy in view of hierarchical relationship of classifications and a classification hierarchy integrating classifications of the same meaning can be efficiently generated. The clustering means clusters a data group associated with a hierarchical classification, and generating a classification group, i.e., a group obtained by extracting a classification satisfying a condition defined in advance from classifications corresponding to respective data in a cluster. The cooccurrence degree calculation means calculates a degree of cooccurrence of two classifications selected from the classification group. The classification hierarchy regeneration means regenerates the hierarchy of classification based on the classification group and the degree of cooccurrence.

Abstract: The present invention deals with an apparatus and method for extracting and analyzing opinions in web documents, wherein automatic extraction and analysis are performed effectively on user opinion information from web documents that are scattered across many websites on the Internet so that opinion search services may be easily implemented which enable search and statistical results to be checked as affirmative/negative opinions, and opinion search users can easily implement a system that helps in searching and monitoring the opinions of other users with respect to a specific keyword.

Abstract: Provided are a computer program product, system, and method for processing input data in a storage system and in communication with a repository. Views are generated that comprise a tree of nodes selected from a subset of nodes in a hierarchical representation of a schema. The views are saved to the repository. At least one of the views are used to create a job comprising a sequence of data transformation steps to transform the input data described by input schemas to the output data described by output schemas.

Abstract: A system and method for remotely displaying a plurality of data items is disclosed. The system determines a total quantity of displayable data items and optionally receives an indication of a display control size from a remote client. The server stores a threshold value indicating a relationship between a quantity of data items and a size of a display control. The server compares the quantity of data items and the received indication of the display control size. If the comparison exceeds the threshold value, the server sends a subset of the items to the remote client for display, and sends additional items as requested by the remote client. If the comparison is less than the threshold value, the server sends each of the items to the remote client for display. The server repeats this comparison for changes in the quantity of data items or the size of the display control.

Abstract: Methods and computer-readable media are provided for determining suggested queries. A user enters a search website, and the user is identified based on a user identification. Suggested queries are determined based on a group associated with the user. This association is created by extracting queries from data logs, categorizing the queries into groups based on their respective subject matter, associating the user with one or more groups, and determining suggested queries for each group. The suggested queries are communicated for display.

Abstract: A system and a method for microcontent natural language processing are presented. The method comprising steps of receiving a microcontent message from a social networking server, tokenizing the microcontent message into one or more text tokens, detecting the language of the microcontent message and selecting the property dictionary for part-of-speech tag, part-of-speech tagging the microcontent message to identify related pronouns and nouns based on the selected dictionary, and extracting topics form the microcontent messages and assigning confidence values to the topics.

Abstract: Exemplary embodiments provide methods, systems and devices for recommending one or more products for a selected individual. The products may be recommended to a user for gifting to the selected individual. Exemplary embodiments may automatically determine one or more topics of interest to the selected individual. In an exemplary embodiment, semantic analysis may be performed on textual content associated with the selected individual to automatically extract the topics of interest. Exemplary embodiments may use the topics of interest to automatically determine one or more products that are likely to be of interest to the selected individual.

Abstract: Systems and methods for managing electronic data are disclosed. Various data management operations can be performed based on a metabase formed from metadata. Such metadata can be identified from an index of data interactions generated by a journaling module, and obtained from their associated data objects stored in one or more storage devices. In various embodiments, such processing of the index and storing of the metadata can facilitate, for example, enhanced data management operations, enhanced data identification operations, enhanced storage operations, data classification for organizing and storing the metadata, cataloging of metadata for the stored metadata, and/or user interfaces for managing data. In various embodiments, the metabase can be configured in different ways. For example, the metabase can be stored separately from the data objects so as to allow obtaining of information about the data objects without accessing the data objects or a data structure used by a file system.

Abstract: The present invention generally relates to systems and methods for executing scripts (a sequence of declarative operations) on large data sets. Some implementations store descriptions of previously-executed operations and associated input and output data sets. When executing similar operations on the same, a subset of, a superset of, or any fragment of data subsequently, some implementations detect duplication of operations and access previously-stored output data sets in order to re-use data and reduce the amount of execution, thus avoiding time-consuming duplicative computations.

Abstract: Techniques for virtual machine backup are described herein. According to one embodiment, a source virtual machine (VM) disk file associated with a VM is parsed to generate metadata representing files stored in a virtual storage device of the VM, where the VM is one of one or more VMs hosted by a VM monitor (VMM). In response to a request to back up a subdirectory of one or more files stored in the source VM disk file, file records of the one or more files of the requested subdirectory are identified based on the metadata. The identified file records associated with the subdirectory are backed up from the source VM disk file to a target VM disk file, without having to back up remaining files in the source VM disk file.

Abstract: A content item is requested by a user via the user's computing device. In response, data, such as a set of facts, related to the requested content item is identified and served with the requested content item for presentation with the content item at the user's computer device. The related data can comprise facts related to the content item, and the related data can be presented as a graphic, such as part of a multi-dimensional graph, in connection with the presentation of the content. The related data can be retrieved from a facts database using search criteria formed using tags obtained for the requested content item.

Abstract: Example systems and methods concern a sub-block parser that is configured with a variable sized window whose size varies as a function of the actual or expected entropy of data to be parsed by the sub-block parser. Example systems and methods also concern a sub-block parser configured to compress a data sequence to be parsed before parsing the data sequence. One example method facilitates either actually changing the window size or effectively changing the window size by manipulating the data before it is parsed. The example method includes selectively reconfiguring a data set to be parsed by a data-dependent parser based, at least in part, on the entropy level of the data set, selectively reconfiguring the data-dependent parser, based, at least in part, on the entropy level of the data set, and parsing the data set.

Abstract: The present invention relates to a method of managing a distributed database and constituent nodes of the database. According to the present invention, it is possible to perform flexible, automatic, and dynamic sharding that can sense whether a specific node needs to be sharded, and can automatically apply an optimal sharding strategy to be applied to database sharding or provide the optimal sharding strategy to at least a manager, by establishing an optimal measure on the basis of the database configuration, the data size, and the transaction quantity for each data.

Abstract: Computer programs embodied in computer-readable media that can use canonical schemas to persist data from non-temporal tables, effective-time tables, assertion-time tables, and bitemporal tables, and that can enforce temporal integrity constraints on those tables, are provided. In one embodiment, the canonical schemas are used by database tables. In another embodiment, they are used by the physical files which persist data from those tables. Temporal metadata is used to express temporal requirements. Thus, uni-temporal, bitemporal, and temporally-enabled non-temporal tables can be generated without altering existing data models or designing temporal features into new data models. Support is also provided for managing temporal data that exists in future assertion time, and for using episodes to enforce temporal referential integrity.

Abstract: A method lexically analyzes and parses a citation. The method may identify errors in the citation. The method may optionally interpret and display semantic information. The method may optionally suggest corrections to errors.

Abstract: Disclosed herein are systems, methods, and computer-readable storage media for an awareness platform. The system can model, at a context engine, a context for a user, wherein the context is associated with an activity involving the user. Next, the system can analyze the activity to extract a keyword. The system can then generate a context-aware presentation based on the context and data gathered based on the keyword. The system can also present the context-aware presentation to a device associated with the user.

Abstract: Disclosed is a system and method for creating, organizing, and monitoring computer searches across a large number of networked computers. The system allows individual searches to be created and tailored depending upon specific objectives. Once established, the system permits the search parameters to be subsequently edited as needed. A graphical user interface (GUI) allows users to view established searches and to monitor searches once activated. Search results can also be tabulated by way of the GUI.

Abstract: In certain embodiments, a parser parses a formula to yield one or more functions, at least one function comprising a dependent value of a dependent object. One or more macro handlers configured to execute the functions are determined. At least one macro handler is instructed to register with one or more dominant objects on behalf of the dependent object, where the dominant objects are used to evaluate the dependent value.

Abstract: Methods and apparatus are presented for aggregating data from disparate sources into an efficiently accessible format. For example, an aggregation tool may receive attribute-based data from one source and metrics-based data from another source. Given this data, the aggregation tool may store attribute data from the attribute-based data into a data object, where the data object includes multiple time slots corresponding to defined time ranges. The aggregation tool may then determine from the metrics-based data, respective metrics data for each of the multiple time slots of the data object, where each time slot is associated with the attribute data. The aggregation tool may store the respective metrics data into each of the multiple time slots of the data object. In this way, the data object may serve to efficiently provide an answer to a query requiring data from multiple data sources.