Abstract: A method for producing a geospatial sitemap for a property includes obtaining a sitemap of the property. Within the sitemap, regions that represent buildings and internal roads are identified. Associated with each region in the sitemap that represents a building is geospatial metadata for the property that provides geospatial information pertaining to the region and addressing information that pertains to the region.

Abstract: The resent invention relates to a system for gathering and assembling information based on data received from one or several mobile terminals, the system comprising: one or several mobile terminals, and a central processing unit. The data at least relates to a position, environmental information and a tool used by a user of the mobile terminal for carrying out an activity and the central processing unit is configured to: process said data, assemble a unique information based on said data, said unique information comprising optimized data for carrying out said activity.

Abstract: A distributed storage server includes a plurality of data server devices and a plurality of metadata server devices. The metadata server devices store metadata associated with data which is distributively stored in the data server devices. A selected metadata server device checks whether a dangling directory occurs by performing a rename operation, based on information associated with a full path of a parent directory of a source and a full path of a parent directory of a target included in a request of the rename operation. When it is determined that the dangling directory does not occur, the selected metadata server device processes transactions directed to the metadata such that the rename operation is performed. The checking whether the dangling directory occurs is performed before a transaction period for processing the transactions.

Abstract: The system, products, and methods disclosed herein relate to an improved configuration for geographically dispersed data restart (“GDDR”) systems. Specifically, the teachings herein ensure a particular GDDR instance does not react to messages issued from address spaces outside of its affinity group. We use the term message “affinity group” to mean the combination of a particular GDDR instance and its set of Mainframe Enablers started tasks. By ensuring that the particular GDDR instance does not react to messages intended for recipients outside of its affinity group, we improve computer functionality and efficiency by facilitating further partitioning of the logical partition. Once the logical partition is further partitioned into additional address spaces, it is possible to run Mainframe Enablers and/or additional GDDR instances independent of the particular GDDR instance of concern.

Abstract: The present invention relates to a system and method for improving data deduplication for eventual consistent for distributed storage systems. Eventual consistency poses significant challenges for deduplication systems. This is because data storage is often spread over many different notes and up-to-date data may not always be available. A significant component of deduplication is creating pointers to older copies of identical data and deleting the later copy. In a basic implementation, this creates an eventually consistent vulnerability. If an older copy of the pointers to the data is retrieved (in the form of a metadata file), it may be pointing to a copy of the data that is no longer available. The present system and method solves the problem with eventual consistency vulnerabilities by introducing a level of indirection and creating manifest files for each file (vessel).

Abstract: A computer implemented method to determine the satisfaction of one or more mapping conditions conditionally mapping a first state in a first pattern matching automaton to a second state in the first automaton, each of the conditions being based on symbol patterns matched by a second pattern matching automaton having states corresponding to wildcard symbols in the first automaton, the method comprising: encoding the conditions in a condition tree data structure associated with the first state, the condition tree modeling sequences of symbol patterns for matching by the second automaton and corresponding to each of the conditions, wherein a node in the condition tree corresponding to a complete set of symbol patterns for a condition has associated an output symbol sequence to identify a pattern match by the first automaton.

Abstract: The subject matter of this specification can be embodied in, among other things, a computer-implemented method that includes obtaining, at a computer system, a plurality of contact identifiers for a computer account holder, wherein the identifiers represent a plurality of different communication modes; identifying a handle for the account holder, wherein the handle is associated with a uniform resource locator; and correlating the handle with the plurality of contact identifiers, and storing the handle and plurality of contact identifiers together so as to permit retrieval of the contact identifiers in response to identification of the handle.

Abstract: An embodiment of the present invention is directed to an automated archiving tool. A system that implements an automated archiving tool comprises: a memory component; an interactive interface that receives one or more user inputs; and a processor, coupled to the memory component and the interactive interface, the processor configured to perform the steps comprising: querying for issues that meet an archive criteria; performing an export of the queried issues that meet the archive criteria; executing a script creating a macro for tickets and associated attachments; archiving the tickets as flat files; executing a script to index the archived issues by project; moving support files to a common directory; macro archiving the attachments; and identifying local references.

Abstract: An optimized fact checking system analyzes and determines the factual accuracy of information and/or characterizes the information by comparing the information with source information. The optimized fact checking system automatically monitors information, processes the information, fact checks the information in an optimized manner and/or provides a status of the information. In some embodiments, the optimized fact checking system generates, aggregates, and/or summarizes content.

Abstract: A knowledge base provides a mechanism for storing an organization's data in a way that represents the semantics of the data being stored. The knowledge base may include a knowledge graph that represents relationships between the different classes of data comprising the organization's data. Data that is loaded into the knowledge graph may be stored in data tables associated with the knowledge graph, and cross referenced with node identifiers that contain the data. Searching the knowledge base includes parsing a search input to identify terms in the search input, and mapping the terms to nodes in the knowledge base using the cross referenced information. The relationships among the identified nodes are used to identify a suitable application for processing the search.

Abstract: Systems and methods are provided for analyzing documents. In one implementation, a computer implemented method is provided for analyzing a patent application and providing a visual representation. According to the method, a selection is received from a user to view claims of the patent application in a claim tree hierarchy and a computer displays the claims in the claim tree hierarchy on a display. The claim tree hierarchy visually depicts relationships between the claims. The method identifies one or more words of at least one of the claims that constitutes an element and displays, in the claim tree hierarchy, the words constituting the element in association with the claim.

Abstract: An interface between an existing local file system and a data store generates and exports to the data store a versioned file system. The state of the local file system at a given point in time can be determined using the versioned file system. In operation, the interface creates and exports to the data store structured data representations, which correspond to versions of the local file system, as well as actual file system data that these structured data representations represent. A cache associated with the interface stores recently used data and metadata, as well as all write data and metadata waiting to be transferred to the data store. Prior to transfer, one or more data transformations may be applied to the data and metadata. In one embodiment, the data store comprises one or more cloud storage service providers. A content control system is used to configure and manage the interface.

Abstract: A method and system to automatically categorize a merchant listing in an electronic marketplace are provided. The method includes parsing the category information submitted by a seller to derive a first category identifier. A first search is performed to locate the first category identifier in a first database containing a listing of category identifiers. If no match is found, the first category identifier is identified as expired or invalid. A second search is performed on a second database that includes mapping information of an expired category identifier to a new category identifier. If a match is found, the first category identifier is assigned as the new category identifier, thereby enabling the listing to be listed in the updated category automatically.

Abstract: Aspects detect or recognize shifts in topics in computer implemented speech recognition processes as a function of mapping keywords to non-verbal cues. An initial topic is mapped to one or more keywords extracted from a first spoken query within a user keyword ontology mapping. A query spoken subsequent in time to the first query is identified and distinguished by recognizing one or more non-verbal cues associated with the audio data input that include a time elapsed between the queries, and in some aspects a user's facial expression or motion activity. Aspects determine whether the second spoken query is directed to the initial topic or to a new topic that is different from the initial topic, as a function of mappings of the keyword(s) extracted from the first query to one or more keywords extracted from the second query and to the non-verbal cue(s) within the user ontology mapping.

Abstract: Techniques for assisting a user in conducting a search for online content are described. According to various embodiments, a set of search results is generated, in response to a user search query. A list of candidate facet-value pairs, for inclusion in a suggestion facet user interface element for display in-line with the set of search results, is then accessed. The suggestion facet user interface element may be configured, upon user selection, to filter the set of search results based on the corresponding facet-value pair. Thereafter, win rate information identifying win rates associated with each of the candidate facet-value pairs is accessed. A specific one of the candidate facet-value pairs having the highest win rate is then selected for inclusion in the suggestion facet user interface element.

Abstract: A system for generating structured queries and carrying out searches using the structured queries may result in high quality queries and may adequately simulate natural language for suggested search queries. In embodiments, attributes and matching product/services may be extracted from various data sources. Structured queries that include the attributes, products/services, and/or additional terms may be combined to form a structured query. In various embodiments, each structured query may be structured according to a pre-defined pattern that is selected based on the type of relevant product and/or service.

Abstract: A system is described that, after executing a parameterless search query to identify results that are determined to be relevant to a user of a device, determines a respective target property, for each of the results, that indicates whether a result is associated with audio content, visual content, audio and visual content, haptic content, or textual content. The system also determines one or more dynamic properties, of the device, that indicate one or more of a network connection strength, connection status to an audio output device, battery level, or connection status to a multimedia streaming device. Based on the one or more dynamic properties of the computing device and the respective target property of each of the results, the system determines a dynamic ranking of the results and transmits the results and the dynamic ranking to the device.

Abstract: Systems and methods for auto-naming nodes in a behavior tree are provided. An example method can include: providing a hierarchy of tree nodes by a computing device; generating a first corpus for each node at a final level; creating a first term-document matrix associated with the first corpus; identifying a first group of high-frequency words in the first term-document matrix; removing the first group of the high-frequency words obtain a second corpus; creating a second term-document matrix based on each of a set of predefined rules; identifying a second group of high-frequency words to represent node names; selecting a best set of the predefined rules based on an automatic evaluation model; generating a node name by removing a duplicate word in each node; incorporating feedback to generate a predicted name for each node; and selecting a final name for each node from the predicted name and the generated node name.

Abstract: Methods and apparatus to transform attribute data about assets in a source system data model into attribute data about the same assets in a target system data model. The first step is to extract the necessary attribute data from attribute data collected about inventory assets of a business entity needed to populate the attributes in objects representing those inventory assets in a target system data model. Transformation rules are written which are designed to make all conversions necessary in semantics, units of measure, etc. to transform the source system attribute data into attribute data for the target system which has the proper data format. These transformation rules are executed on a computer on the extracted attribute data and the transformed attribute data is stored in an ER model. In the preferred embodiment, the transformation rules are object-oriented in that transformation rules for subtypes can be inherited from their parent types or classes.

Abstract: Exemplary embodiments relate to techniques for determining social networking or messaging user affinity and engagement coefficients (e.g., a measure of the connectedness between two people in a network). The described techniques are particularly well-suited to cases in which only limited information is available, such as when a new user joins a network and only the user's contacts list is available. The available information may be used to determine a group of existing users to which the new user is connected. Some embodiments relate to calculating scores among these existing users in order to infer an affinity for the new user to the existing users. Other embodiments involve calculating bilateral scores that reflect a degree of mutual affinity between two users.