Abstract: Disclosed are methods for returning to a user an answer to the question “what is <string>.” Concepts and classes to which the concepts belong are determined from a corpus, such as taxonomy. The concepts are mapped to categories according to the structure of the taxonomy. Homonyms for words are collected and scored according to likeliness of use. Concept vectors are assembled for the identified concepts based on articles in the corpus and social media usage. Words are evaluated for generic-ness and a generic score is associated therewith. In responding to a query, the generic-ness of the terms of the query is evaluated and additional context solicited if the terms are generic. Candidate homonym concepts for a string in the query are selected according to context vectors for the homonym concepts. One or more homonym concepts are selected and the one or more categories corresponding to these concepts are returned.

Abstract: Disclosed are methods for returning to a user an answer to the question “what is <string>.” Concepts and classes to which the concepts belong are determined from a corpus, such as taxonomy. The concepts are mapped to categories according to the structure of the taxonomy. Homonyms for words are collected and scored according to likeliness of use. Concept vectors are assembled for the identified concepts based on articles in the corpus and social media usage. Words are evaluated for generic-ness and a generic score is associated therewith. In responding to a query, the generic-ness of the terms of the query is evaluated and additional context solicited if the terms are generic. Candidate homonym concepts for a string in the query are selected according to context vectors for the homonym concepts. One or more homonym concepts are selected and the one or more categories corresponding to these concepts are returned.

Abstract: Methods are disclosed for converting a directed graph to a taxonomy using guidelines from a user. An initial tree is output from a first pruning step in which subtree preferences (and other weights) are applied to preserve or remove paths from a node to one or more levels of descendent nodes. Subtree preferences (and infoboxes) may specify rules for automatically generating recommendations during application to nodes. In a second pruning step, the directed graph is again processed with additional weightings applied to edges in the graph in accordance with the recommendations. The recommendations may be human defined. Recommendations may specify a recommended ancestor for a particular node and may include a weighting to be applied to the recommendation itself, if there are multiple conflicting recommendations for the same node. Recommendations may also specify what standard weight to apply to the edge of the best parent.

Abstract: Determining one or more concepts associated with a query is disclosed. A query is received. A list of concepts and associated scores is received. The concepts fit within a concept hierarchy. A density function is used to evaluate the received concepts. One or more concepts are associated with the query based at least in part on the results of the density function.

Abstract: Disclosed are methods for returning to a user an answer to the question “what is <string>.” Concepts and classes to which the concepts belong are determined from a corpus, such as taxonomy. The concepts are mapped to categories according to the structure of the taxonomy. Homonyms for words are collected and scored according to likeliness of use. Concept vectors are assembled for the identified concepts based on articles in the corpus and social media usage. Words are evaluated for generic-ness and a generic score is associated therewith. In responding to a query, the generic-ness of the terms of the query is evaluated and additional context solicited if the terms are generic. Candidate homonym concepts for a string in the query are selected according to context vectors for the homonym concepts. One or more homonym concepts are selected and the one or more categories corresponding to these concepts are returned.

Abstract: Exemplary embodiments allow performance of stream computations on real-time data streams using one or more map operations and/or one or more update operations. A map operation is a stream computation in which stream events in one or more real-time data streams are processed in a real-time manner to generate zero, one or more new stream events. An update operation is a stream computation in which stream events in one or more real-time data streams are processed in a real-time manner to create or update one or more static “slate” data structures that are stored in a durable manner.

Abstract: Exemplary embodiments allow performance of stream computations on real-time data streams using one or more map operations and/or one or more update operations. A map operation is a stream computation in which stream events in one or more real-time data streams are processed in a real-time manner to generate zero, one or more new stream events. An update operation is a stream computation in which stream events in one or more real-time data streams are processed in a real-time manner to create or update one or more static “slate” data structures that are stored in a durable manner.

Abstract: Determining one or more concepts associated with a query is disclosed. A query is received. A list of concepts and associated scores is received. The concepts fit within a concept hierarchy. A density function is used to evaluate the received concepts. One or more concepts are associated with the query based at least in part on the results of the density function.

Abstract: A system includes a first database to associate a sub-interface identifier with customer information, a second database to store a history of customer usage records, and a first device. The first device may receive information from a routing device, where the information includes the sub-interface identifier for a sub-interface of the routing device and information identifying an amount of network traffic received at or transmitted from the sub-interface over a time period, use the sub-interface identifier to obtain the associated customer information from the first database, associate the customer information with the information identifying an amount of network traffic received at or transmitted from the sub-interface over a time period to create a new customer usage record, and store the new customer usage record in the second database.

Abstract: Determining one or more concepts associated with a query is disclosed. A query is received. A list of concepts and associated scores is received. The concepts fit within a concept hierarchy. A density function is used to evaluate the received concepts. One or more concepts are associated with the query based at least in part on the results of the density function.

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 are provided for processing a data stream in real time to identify connections between one or more social elements social elements and aggregating and storing the identified connections over a rolling time window. Social elements may be stored as nodes and connection between social elements may be stored as labeled connections between nodes.

Abstract: Exemplary embodiments allow performance of stream computations on real-time data streams using one or more map operations and/or one or more update operations. A map operation is a stream computation in which stream events in one or more real-time data streams are processed in a real-time manner to generate zero, one or more new stream events. An update operation is a stream computation in which stream events in one or more real-time data streams are processed in a real-time manner to create or update one or more static “slate” data structures that are stored in a durable manner.

Abstract: Determining one or more concepts associated with a query is disclosed. A query is received. A list of concepts and associated scores is received. The concepts fit within a concept hierarchy. A density function is used to evaluate the received concepts. One or more concepts are associated with the query based at least in part on the results of the density function.

Abstract: A system includes a first database to associate a sub-interface identifier with customer information, a second database to store a history of customer usage records, and a first device. The first device may receive information from a routing device, where the information includes the sub-interface identifier for a sub-interface of the routing device and information identifying an amount of network traffic received at or transmitted from the sub-interface over a time period, use the sub-interface identifier to obtain the associated customer information from the first database, associate the customer information with the information identifying an amount of network traffic received at or transmitted from the sub-interface over a time period to create a new customer usage record, and store the new customer usage record in the second database.

Abstract: A system includes a first database to associate a sub-interface identifier with customer information, a second database to store a history of customer usage records, and a first device. The first device may receive information from a routing device, where the information includes the sub-interface identifier for a sub-interface of the routing device and information identifying an amount of network traffic received at or transmitted from the sub-interface over a time period, use the sub-interface identifier to obtain the associated customer information from the first database, associate the customer information with the information identifying an amount of network traffic received at or transmitted from the sub-interface over a time period to create a new customer usage record, and store the new customer usage record in the second database.

Abstract: A system includes a first database to associate a sub-interface identifier with customer information, a second database to store a history of customer usage records, and a first device. The first device may receive information from a routing device, where the information includes the sub-interface identifier for a sub-interface of the routing device and information identifying an amount of network traffic received at or transmitted from the sub-interface over a time period, use the sub-interface identifier to obtain the associated customer information from the first database, associate the customer information with the information identifying an amount of network traffic received at or transmitted from the sub-interface over a time period to create a new customer usage record, and store the new customer usage record in the second database.

Abstract: The present invention provides an improved process for the isolation of oleane compounds from the bark of Terminalia arjuna (Roxb.). More particularly, the present invention relates to an improved process for the isolation of arjunic acid and its derivates from the bark of Terminalia arjuna (Roxb.). The present invention further provides the identification of arjunic acid [1] and its derivatives as anticancer agent useful in the treatment of various types of cancer in humans.

Abstract: The present invention provides an improved process for the isolation of oleane compounds from the bark of Terminallia arjuna (Roxb.). More particularly, the present invention relates to an improved process for the isolation of arjunic acid and its derivates from the bark of Terminallia arjuna (Roxb.). The present invention further provides the identification of arjunic acid [1] and its derivatives as anticancer agent useful in the treatment of various types of cancer in humans.

Abstract: The present invention relates to the development of a unique inflorescence bearing mutant plant type lli/lli (LEAF-LESS INFLORESCENCE). Further the present invention relates to the development of a unique inflorescence bearing mutant plant type lli/lli (LEAF-LESS INFLORESCENCE) through chemical mutagenesis. The present invention relates to the development of a new and distinct plant type for floricultural usage. The new type is a monogenic Mendelian recessive stable mutant plant of Catharanthus roseus with a novel leafless inflorescence architecture with increased flower frequency. This distinct plant of Catharanthus roseus was developed through chemical mutagenesis followed by salt tolerance selection.