Abstract: The present invention in one or more embodiments provides a console support panel which includes a first portion defining a cavity to receive therein a pivot shaft of an inertia block; and a second portion positioned next to the first portion and to support a movable cover, wherein the first portion further includes a lead-in rib extending into the cavity to restrain translational movement of the pivot shaft. In certain embodiments, the lead-in rib includes first and second lead-in ribs to restrain translational movement of first and second ends of the pivot shaft, respectively.

Abstract: A cup holder assembly includes a door configured for translation between an open and a closed configuration, at least one receiver sidewall, and at least one first cup holder surface provided by a bottom surface of the door and configured to upwardly extend at least a portion of the receiver sidewall when the door is disposed in an open configuration. A retention system for a container is provided, including at least one container biasing member and at least one container supporting member. The container biasing member may be door-mounted or receiver sidewall-mounted.

Abstract: An assembly for mounting a door with a vehicle compartment includes an arm coupled with the compartment and with the door and a constant-force spring having a coil coupled with one of the door and the compartment and an end coupled with the other of the door and the compartment such that a contraction of the spring causes the door to move with rotation of the arm.

Abstract: The present disclosure describes methods, systems, and computer program products for importing data to a semantic graph. One computer-implemented method includes collecting, at a client, data from an information source; receiving, from a server, a query for information associated with the semantic graph; and sending, in response to the query, the collected data to the server in accordance to a communication protocol, wherein the collected data is imported to the semantic graph.

Abstract: An assembly for mounting a door with a vehicle compartment includes an arm coupled with the compartment and with the door, a track fixed with the compartment, and a carrier pivotably coupled with the door and slidable along the track. The assembly further includes a spring coupled between the door and the compartment such that a contraction of the spring alone causes the door to move with rotation of the arm and movement of the carrier along the track.

Abstract: A semantic phrase suggestion engine that provides term and sentence suggestions based on context-specific user groups. Knowledge domains within a semantic network may be automatically derived from user software applications, and each term within the knowledge domain includes meta-data about the terms, e.g., term type and an importance indicator. The indicators may be defined within the context of specific user groups and relate to how many times that group has used the term (e.g., in documents, emails, etc.) The semantic phrase suggestion engine may also include spelling conditions and grammar conditions, which can then provide phrase suggestions according to the conditions and importance indicators, specific to a user group.

Abstract: An assembly for mounting a door with a vehicle compartment includes an arm coupled with the compartment and with the door, a track fixed with the compartment, and a carrier pivotably coupled with the door and slidable along the track. The assembly further includes a spring coupled between the door and the compartment such that a contraction of the spring alone causes the door to move with rotation of the arm and movement of the carrier along the track.

Abstract: In example embodiments, a technique is provided to determine the similarity between two terms. For example, example embodiments may store a meta-model semantic network that includes a first and second term. Further, both the first and second terms are respectively associated with model and meta-model information. A request to calculate a term similarity value is received. A term similarity value expresses a correlation between the first term and the second term. The term similarity value is then calculated based on a comparison of the model and the meta-model information associated with the first and second terms.

Abstract: A method, machine readable storage medium, and system for providing a self learning semantic search engine. A semantic network may be set up with initial configuration. A search engine coupled to the semantic network may build indexes and semantic indexes. A user request for business data may be received. The search engine may be accessed via a semantic dispatcher. And based on the access, search engine may update the indexes and semantic indexes.

Abstract: The invention relates to paper or corrugated board produced using a borax-free starch adhesive composition containing a dextrin, the starch adhesive composition being cross-linked with sodium aluminate in an alkaline medium, and the quantity of sodium aluminate ranging from 1 to 35% absolutely dry relative to the quantity of dextrin.

Abstract: A semantic phrase suggestion engine that provides term and sentence suggestions based on context-specific user groups. Knowledge domains within a semantic network may be automatically derived from user software applications, and each term within the knowledge domain includes meta-data about the terms, e.g., term type and an importance indicator. The indicators may be defined within the context of specific user groups and relate to how many times that group has used the term (e.g., in documents, emails, etc.) The semantic phrase suggestion engine may also include spelling conditions and grammar conditions, which can then provide phrase suggestions according to the conditions and importance indicators, specific to a user group.

Abstract: A cascading learning system for semantic search is described including the generation, training and testing of a domain-specific module for a domain-specific search. One or more input elements and output elements are specified for the domain-specific module with reference to a domain that relates these elements together through data sets that include related metadata. The related metadata may include semantic terms that are incorporated into a contextual network applicable to the domain.

Abstract: A method, machine readable storage medium, and system for providing a self learning semantic search engine. A semantic network may be set up with initial configuration. A search engine coupled to the semantic network may build indexes and semantic indexes. A user request for business data may be received. The search engine may be accessed via a semantic dispatcher. And based on the access, search engine may update the indexes and semantic indexes.

Abstract: A cascading learning system as a normalized semantic search is described. The cascading learning system has a request analyzer, a request dispatcher and classifier, a search module, a terminology manager, and a cluster manager. The request analyzer receives a request for search terms from a client application. The request analyzer has a normalization manager, a semantic parser, and a context builder. The normalization manager normalizes the search terms and generates a normalized semantic request based on a context. The request dispatcher and classifier classifies and dispatches the normalized semantic request to a corresponding domain-specific module that generates a prediction with a trained probability of an expected output. The terminology manager receives the normalized semantic request from the request dispatcher and classifier, and manages terminology stored in a contextual network.

Abstract: A method, machine readable storage medium, and system for providing a self learning semantic search engine. A semantic network may be set up with initial configuration. A search engine coupled to the semantic network may build indexes and semantic indexes. A user request for business data may be received. The search engine may be accessed via a semantic dispatcher. And based on the access, search engine may update the indexes and semantic indexes.

Abstract: A method and apparatus for detection of relationships between objects in a meta-model semantic network is described. Semantic objects and semantic relations of a meta-model of business objects are generated from a meta-model semantic network. The semantic relations are based on connections between the semantic objects. A probability model of terminology usage in the semantic objects and the semantic relations is generated. A neural network is formed based on usage of the semantic objects, the semantic relations, and the probability model. The neural network is integrated with the semantic objects, the semantic relations, and the probability model to generate a contextual network. The generated probability model is integrated with semantic objects and neural networks for form parallel networks.

Abstract: Methods and apparatus, including systems and computer program products, for a services architecture design that provides enterprise services having foundation layer functionality at the level of an enterprise application. The design includes a set of service operations, process components, and optionally deployment units. Suitable business objects are also described.

Abstract: A refrigeration device comprising at least two storage compartments that are thermally insulated from one another and from the environment. In said device, an evaporator that can be cooled independently of an evaporator of the other storage compartment or compartments, is allocated to each storage compartment. Said device is equipped with elements for switching at least one of the compartments from a freezing mode to a non-freezing mode.

Abstract: A refrigeration device comprising a refrigeration circuit that contains an evaporator, a condenser and a compressor, in addition to electronic components for operating the refrigeration device. According to the invention, all the electronic components are combined in an electronic unit.

Abstract: A modular refrigerating appliance comprising a first planar heat-insulating element and additional planar heat-insulating elements, which are joined to one another whereby being able to be detached from one another and which, when joined, form a housing of the refrigerating appliance. The modular refrigerating appliance also has a cooling circuit, which comprises an evaporator, a condenser, and a compressor, and which is mounted on the first planar heat-insulating element. At least the condenser is, at least in part, mechanically protected on its surface facing away from the first heat-insulating element solely by the construction of the first planar heat-insulating element.