Abstract: Data records are linked across a plurality of datasets. Each dataset contains at least one data record, and each data record is associated with an entity and includes one or more attributes of that entity and a value for each attribute. Values associated with attributes are compared across datasets, and matching attributes having values that satisfy a predetermined similarity threshold are identified. In addition, linkage points between pairs of datasets are identified. Each linkage point links one or more pairs of data records. Each data record in the pair of data records is contained in one of a given pair of datasets, and each pair of data records is associated with a common entity having matching attributes in the given pair of datasets. Data records associated with the common entities are linked across datasets using the identified linkage points.

Abstract: Data records are linked across a plurality of datasets. Each dataset contains at least one data record, and each data record is associated with an entity and includes one or more attributes of that entity and a value for each attribute. Values associated with attributes are compared across datasets, and matching attributes having values that satisfy a predetermined similarity threshold are identified. In addition, linkage points between pairs of datasets are identified. Each linkage point links one or more pairs of data records. Each data record in the pair of data records is contained in one of a given pair of datasets, and each pair of data records is associated with a common entity having matching attributes in the given pair of datasets. Data records associated with the common entities are linked across datasets using the identified linkage points.

Abstract: Data records are linked across a plurality of datasets. Each dataset contains at least one data record, and each data record is associated with an entity and includes one or more attributes of that entity and a value for each attribute. Values associated with attributes are compared across datasets, and matching attributes having values that satisfy a predetermined similarity threshold are identified. In addition, linkage points between pairs of datasets are identified. Each linkage point links one or more pairs of data records. Each data record in the pair of data records is contained in one of a given pair of datasets, and each pair of data records is associated with a common entity having matching attributes in the given pair of datasets. Data records associated with the common entities are linked across datasets using the identified linkage points.

Abstract: Methods, systems, and computer program products for entity structured representation and variant generation are provided herein. A computer-implemented method includes automatically parsing instances of a given entity type into semantic components by implementing a parser based at least in part on (i) the given entity type and (ii) items of information relevant to the given entity type; generating, based at least in part on (i) the semantic components and (ii) information pertaining to one or more valid component-specific variants, one or more variants of the semantic components; creating, based at least in part on the one or more variants of the one or more semantic components, one or more variants of at least one instance of an entity associated with the given entity type; and outputting, to at least one user, the one or more variants of the at least one instance of the entity.

Abstract: Methods, systems, and computer program products for entity structured representation and variant generation are provided herein. A computer-implemented method includes automatically parsing instances of a given entity type into semantic components by implementing a parser based at least in part on (i) the given entity type and (ii) items of information relevant to the given entity type; generating, based at least in part on (i) the semantic components and (ii) information pertaining to one or more valid component-specific variants, one or more variants of the semantic components; creating, based at least in part on the one or more variants of the one or more semantic components, one or more variants of at least one instance of an entity associated with the given entity type; and outputting, to at least one user, the one or more variants of the at least one instance of the entity.

Abstract: Described herein are methods, systems and computer program products for entity resolution. Entity resolution, also known as entity matching or record linkage, seeks to identify equivalent data objects between or among datasets. An example method includes creating a deterministic model by defining an entity to be resolved, selecting two datasets for comparison, defining matching predicates for attributes of the datasets to select a set of candidate matches, and defining a precedence rule for the candidate matches to select a subset of the candidate matches. The method includes running the deterministic model on the two datasets. Running the deterministic model includes applying the matching predicates and the precedence rule to data in the datasets that correspond to the attributes. The method also includes applying a cardinality rule to results of the running, and outputting the matching candidates for which the cardinality rule is satisfied.

Abstract: Embodiments of the present invention relate to a new method of entity integration using high-level scripting languages. In one embodiment, a method of and computer product for entity integration is provided. An entity declaration is read from a machine readable medium. The entity declaration describes an entity including at least one nested entity. An index declaration is read from a machine readable medium. The index declaration describes an index of nested entities. An entity population rule is read from a machine readable medium. The entity population rule describes a mapping from an input schema to an output schema. The output schema conforms to the entity declaration. A plurality of input records is read from a first data store. The input records conform to the input schema. The entity population rule applies to the plurality of records to create a plurality of output records complying with the output schema. An index of nested entities is populated. The index complies with the index declaration.

Abstract: Data records are linked across a plurality of datasets. Each dataset contains at least one data record, and each data record is associated with an entity and includes one or more attributes of that entity and a value for each attribute. Values associated with attributes are compared across datasets, and matching attributes having values that satisfy a predetermined similarity threshold are identified. In addition, linkage points between pairs of datasets are identified. Each linkage point links one or more pairs of data records. Each data record in the pair of data records is contained in one of a given pair of datasets, and each pair of data records is associated with a common entity having matching attributes in the given pair of datasets. Data records associated with the common entities are linked across datasets using the identified linkage points.

Abstract: Embodiments of the present invention relate to a declarative framework for efficient incremental information integration. In one embodiment, a method of and computer program product for information integration is provided. An integration rule is received. A first data set is accessed. A first representation of the first data is generated set based on the plurality of integration rules. The first representation is flat and includes a plurality of records. At least one index is generated. The index encodes at least one hierarchical relationship among the plurality of records. A second representation is generated of the first representation based on the at least one index. The second representation comprising nested data.

Abstract: Data records are linked across a plurality of datasets. Each dataset contains at least one data record, and each data record is associated with an entity and includes one or more attributes of that entity and a value for each attribute. Values associated with attributes are compared across datasets, and matching attributes having values that satisfy a predetermined similarity threshold are identified. In addition, linkage points between pairs of datasets are identified. Each linkage point links one or more pairs of data records. Each data record in the pair of data records is contained in one of a given pair of datasets, and each pair of data records is associated with a common entity having matching attributes in the given pair of datasets. Data records associated with the common entities are linked across datasets using the identified linkage points.

Abstract: Embodiments of the present invention relate to a new method of entity integration using high-level scripting languages. In one embodiment, a method of and computer product for entity integration is provided. An entity declaration is read from a machine readable medium. The entity declaration describes an entity including at least one nested entity. An index declaration is read from a machine readable medium. The index declaration describes an index of nested entities. An entity population rule is read from a machine readable medium. The entity population rule describes a mapping from an input schema to an output schema. The output schema conforms to the entity declaration. A plurality of input records is read from a first data store. The input records conform to the input schema. The entity population rule applies to the plurality of records to create a plurality of output records complying with the output schema. An index of nested entities is populated. The index complies with the index declaration.

Abstract: Embodiments relate to entity resolution. One aspect includes creating a deterministic model by defining an entity to be resolved, selecting two datasets for comparison, defining matching predicates for attributes of the datasets to select a set of candidate matches, and defining a precedence rule for the candidate matches to select a subset of the candidate matches. An aspect further includes running the deterministic model on the two datasets. Running the deterministic model includes applying the matching predicates and the precedence rule to data in the datasets that correspond to the attributes. An aspect also includes applying a cardinality rule to results of the running, and outputting the matching candidates for which the cardinality rule is satisfied.

Abstract: Embodiments of the present invention relate to a declarative framework for efficient incremental information integration. In one embodiment, a method of and computer program product for information integration is provided. An integration rule is received. A first data set is accessed. A first representation of the first data is generated set based on the plurality of integration rules. The first representation is flat and includes a plurality of records. At least one index is generated. The index encodes at least one hierarchical relationship among the plurality of records. A second representation is generated of the first representation based on the at least one index. The second representation comprising nested data.

Abstract: The slew rate of a transistor is controlled. Upon a transition of a MOSFET control signal, an operating voltage of the MOSFET is measured and a determination of whether the voltage is between a predetermined set of values is made. Based upon the determination, a counter is incremented, and the count of the counter corresponding slew rate. The turn-on current of the MOSFET is controlled based upon the count.

Abstract: The slew rate of a transistor is controlled. Upon a transition of a MOSFET control signal, an operating voltage of the MOSFET is measured and a determination of whether the voltage is between a predetermined set of values is made. Based upon the determination, a counter is incremented, and the count of the counter corresponding slew rate. The turn-on current of the MOSFET is controlled based upon the count.

Abstract: Embodiments of the invention relate to correlating schema mappings. In one embodiment, a set of schema mappings over a source schema and a target schema are received. Each of the schema mappings is decomposed into a basic schema mapping. A first set and second set of relations re determined for the source schema and the target schema, respectively. Each relation in the first set of relations is paired to at least one relation in the second set of relations. The pairing forms multiple relation pairs between the first set and second of relations in the form of (T, T?), where T is a source portion of a relation pair and T? is a target portion of the relation pair. A set of basic schema mappings is identified that matches the relation pair. Each basic schema mapping is merged into a single schema mapping.

Abstract: A computer implemented method of conducting closed-loop control of a physical system comprising the steps of carrying out an initialization of the physical system to commencing closed-loop control, evaluating the optimal constrained control move using the system error and the initial normalized matrix using a control move solver; calculating a first control action by the sum of delta u(0) and the initial control action; and implementing the result to the physical system by converting the control action to an output control signal to effect a change in at least one operating variable.

Abstract: The present invention relates to an apparatus for short circuit protection. The apparatus comprises two supply inputs for connecting the apparatus to a terminal of a power supply and two supply paths being connected together and to the supply inputs, wherein each supply path comprises a disconnection means for disconnecting the supply path. Further the apparatus comprises a determination means for determining a current flowing from one of the supply paths through the other one of the supply paths and a control means for controlling the disconnection means of the supply paths dependent on the current determined by the determination means, wherein the control means is connected with the disconnection means and the determination means.

Abstract: The present invention relates to an apparatus for short circuit protection. The apparatus comprises two supply inputs for connecting the apparatus to a terminal of a power supply and two supply paths being connected together and to the supply inputs, wherein each supply path comprises a disconnection means for disconnecting the supply path. Further the apparatus comprises a determination means for determining a current flowing from one of the supply paths through the other one of the supply paths and a control means for controlling the disconnection means of the supply paths dependent on the current determined by the determination means, wherein the control means is connected with the disconnection means and the determination means.

Abstract: A computer implemented method of conducting closed-loop control of a physical system comprising the steps of carrying out an initialization of the physical system to commencing closed-loop control, evaluating the optimal constrained control move using the system error and the initial normalized matrix using a control move solver; calculating a first control action by the sum of delta u(0) and the initial control action; and implementing the result to the physical system by converting the control action to an output control signal to effect a change in at least one operating variable.