Patent application number | Description | Published |
20090307170 | VISUALIZATION OF DATA RECORD PHYSICALITY - Systems (and corresponding methodologies) that enable inferences to be drawn from the physicality of electronic information much like that of a visual inspection of physical records are provided. In other words, a user is able to draw inferences from parameters of electronic data such as quantity, regularity, age, condition, type, keywords, title, author, origination date, storage location, etc. The innovation provides a data observation system having a summarization generator component and a rendering component that conveys attributes of electronic data such that inferences and conclusions based upon the physicality of the data. | 12-10-2009 |
20100114885 | QUERY SUBMISSION PIPELINE USING LINQ - Described is a technology comprising a query processing pipeline in which a SPARQL query is processed into an intermediate LINQ query, which is then processed by a LINQ provider. The LINQ provider decides which instructions correspond to flat database queries, and routes those instructions a database engine (e.g., SQL server) for querying a database. Other instructions are provided to a reasoning engine for processing, e.g., by performing a graph traversal and/or database queries. The pipeline may include a parser that parses the query into an abstract syntax tree, and an optimizer that processes the abstract syntax tree into a LINQ query, including by reordering LINQ instructions and/or associating a flag with each of the instructions that indicates whether to query the database or provide the instruction to a reasoning engine. | 05-06-2010 |
20100114931 | FACET, LOGIC AND TEXTUAL-BASED QUERY COMPOSER - Described is a technology for composing queries by user interaction with objects and facets. A facet-based user interface allows users to select facets for use as filtering criteria, and a logic-based user interface allows users to logically combine object data. Query logic that processes the filtering criteria and/or logically combines the object data into a query. The facet-based user interface and logic-based user interface may be accessed via a unified user interface. The unified user interface may also provide a text editor for composing a text-based query. | 05-06-2010 |
20100131291 | Correlating data indicating at least one subjective user state with data indicating at least one objective occurrence associated with a user - A computationally implemented method includes, but is not limited to: acquiring subjective user state data including data indicating at least one subjective user state associated with a user; acquiring objective occurrence data including data indicating at least one objective occurrence associated with the user; correlating the subjective user state data with the objective occurrence data based, at least in part, on a determination of at least one sequential pattern associated with the at least one subjective user state and the at least one objective occurrence; and presenting one or more results of the correlating. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131334 | Hypothesis development based on selective reported events - A computationally implemented method includes, but is not limited to: acquiring events data including data indicating incidence of a first one or more reported events and data indicating incidence of a second one or more reported events, at least one of the first one or more reported events and the second one or more reported events being associated with a user; determining an events pattern based selectively on the incidences of the first one or more reported events and the second one or more reported events; and developing a hypothesis associated with the user based, at least in part, on the determined events pattern. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131435 | Hypothesis based solicitation of data indicating at least one subjective user state - A computationally implemented method includes, but is not limited to: soliciting, based at least in part on a hypothesis that links one or more objective occurrences with one or more subjective user states and in response at least in part to an incidence of at least one objective occurrence, subjective user state data including data indicating incidence of at least one subjective user state associated with a user; and acquiring the subjective user state data including the data indicating incidence of at least one subjective user state associated with the user. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131436 | Soliciting data indicating at least one subjective user state in response to acquisition of data indicating at least one objective occurrence - A computationally implemented method includes, but is not limited to: acquiring objective occurrence data including data indicating occurrence of at least one objective occurrence; soliciting, in response to the acquisition of the objective occurrence data, subjective user state data including data indicating occurrence of at least one subjective user state associated with a user; acquiring the subjective user state data and correlating the subjective user state data with the objective occurrence data. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131446 | Action execution based on user modified hypothesis - A computationally implemented method includes, but is not limited to: presenting to a user a hypothesis identifying at least a relationship between a first event type and a second event type; receiving from the user one or more modifications to modify the hypothesis; and executing one or more actions based, at least in part, on a modified hypothesis resulting, at least in part, from the reception of the one or more modifications. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131448 | Hypothesis based solicitation of data indicating at least one objective occurrence - A computationally implemented method includes, but is not limited to: soliciting, based at least in part on a hypothesis that links one or more objective occurrences with one or more subjective user states and in response at least in part to an incidence of at least one subjective user state associated with a user, at least a portion of objective occurrence data including data indicating incidence of at least one objective occurrence; and acquiring the objective occurrence data including the data indicating incidence of at least one objective occurrence. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131449 | Hypothesis development based on selective reported events - A computationally implemented method includes, but is not limited to: acquiring events data including data indicating incidence of a first one or more reported events and data indicating incidence of a second one or more reported events, at least one of the first one or more reported events and the second one or more reported events being associated with a user; determining an events pattern based selectively on the incidences of the first one or more reported events and the second one or more reported events; and developing a hypothesis associated with the user based, at least in part, on the determined events pattern. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131453 | Hypothesis selection and presentation of one or more advisories - A computationally implemented method includes, but is not limited to: selecting at least one hypothesis from a plurality of hypotheses relevant to a user, the selection of the at least one hypothesis being based, at least in part, on at least one reported event associated with the user; and presenting one or more advisories related to the hypothesis. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131471 | Correlating subjective user states with objective occurrences associated with a user - A computationally implemented method includes, but is not limited to: acquiring subjective user state data including at least a first subjective user state and a second subjective user state; acquiring objective context data including at least a first context data indicative of a first objective occurrence associated with a user and a second context data indicative of a second objective occurrence associated with the user; and correlating the subjective user state data with the objective context data. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131503 | Soliciting data indicating at least one objective occurrence in response to acquisition of data indicating at least one subjective user state - A computationally implemented method includes, but is not limited to: acquiring subjective user state data including data indicating at least one subjective user state associated with a user; soliciting, in response to the acquisition of the subjective user state data, objective occurrence data including data indicating occurrence of at least one objective occurrence; acquiring the objective occurrence data; and correlating the subjective user state data with the objective occurrence data. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131504 | Hypothesis based solicitation of data indicating at least one objective occurrence - A computationally implemented method includes, but is not limited to: soliciting, based at least in part on a hypothesis that links one or more objective occurrences with one or more subjective user states and in response at least in part to an incidence of at least one subjective user state associated with a user, at least a portion of objective occurrence data including data indicating incidence of at least one objective occurrence; and acquiring the objective occurrence data including the data indicating incidence of at least one objective occurrence. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131519 | Correlating subjective user states with objective occurrences associated with a user - A computationally implemented method includes, but is not limited to: acquiring subjective user state data including at least a first subjective user state and a second subjective user state; acquiring objective context data including at least a first context data indicative of a first objective occurrence associated with a user and a second context data indicative of a second objective occurrence associated with the user; and correlating the subjective user state data with the objective context data. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131602 | Correlating data indicating at least one subjective user state with data indicating at least one objective occurrence associated with a user - A computationally implemented method includes, but is not limited to: acquiring subjective user state data including data indicating at least one subjective user state associated with a user; acquiring objective occurrence data including data indicating at least one objective occurrence associated with the user; correlating the subjective user state data with the objective occurrence data based, at least in part, on a determination of at least one sequential pattern associated with the at least one subjective user state and the at least one objective occurrence; and presenting one or more results of the correlating. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131605 | Soliciting data indicating at least one objective occurrence in response to acquisition of data indicating at least one subjective user state - A computationally implemented method includes, but is not limited to: acquiring subjective user state data including data indicating at least one subjective user state associated with a user; soliciting, in response to the acquisition of the subjective user state data, objective occurrence data including data indicating occurrence of at least one objective occurrence; acquiring the objective occurrence data; and correlating the subjective user state data with the objective occurrence data. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131606 | Soliciting data indicating at least one subjective user state in response to acquisition of data indicating at least one objective occurrence - A computationally implemented method includes, but is not limited to: acquiring objective occurrence data including data indicating occurrence of at least one objective occurrence; soliciting, in response to the acquisition of the objective occurrence data, subjective user state data including data indicating occurrence of at least one subjective user state associated with a user; acquiring the subjective user state data and correlating the subjective user state data with the objective occurrence data. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131607 | Correlating data indicating subjective user states associated with multiple users with data indicating objective occurrences - A computationally implemented method includes, but is not limited to acquiring subjective user state data including data indicating incidence of at least a first subjective user state associated with a first user and data indicating incidence of at least a second subjective user state associated with a second user; acquiring objective occurrence data including data indicating incidence of at least a first objective occurrence and data indicating incidence of at least a second objective occurrence; and correlating the subjective user state data with the objective occurrence data. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131608 | Hypothesis based solicitation of data indicating at least one subjective user state - A computationally implemented method includes, but is not limited to: soliciting, based at least in part on a hypothesis that links one or more objective occurrences with one or more subjective user states and in response at least in part to an incidence of at least one objective occurrence, subjective user state data including data indicating incidence of at least one subjective user state associated with a user; and acquiring the subjective user state data including the data indicating incidence of at least one subjective user state associated with the user. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131875 | Action execution based on user modified hypothesis - A computationally implemented method includes, but is not limited to: presenting to a user a hypothesis identifying at least a relationship between a first event type and a second event type; receiving from the user one or more modifications to modify the hypothesis; and executing one or more actions based, at least in part, on a modified hypothesis resulting, at least in part, from the reception of the one or more modifications. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131891 | Hypothesis selection and presentation of one or more advisories - A computationally implemented method includes, but is not limited to: selecting at least one hypothesis from a plurality of hypotheses relevant to a user, the selection of the at least one hypothesis being based, at least in part, on at least one reported event associated with the user; and presenting one or more advisories related to the hypothesis. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131963 | Hypothesis development based on user and sensing device data - A computationally implemented method includes, but is not limited to: acquiring a first data indicating at least one reported event as originally reported by a user and a second data indicating at least a second reported event as originally reported by one or more sensing devices; and developing a hypothesis based, at least in part, on the first data and the second data. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100131964 | Hypothesis development based on user and sensing device data - A computationally implemented method includes, but is not limited to: acquiring a first data indicating at least one reported event as originally reported by a user and a second data indicating at least a second reported event as originally reported by one or more sensing devices; and developing a hypothesis based, at least in part, on the first data and the second data. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 05-27-2010 |
20100287220 | Dynamically Encoding Types and Inhabitants in a Relational Database - Described is a technology, such as for representing scientific data and information, in which a database table contains rows of type data representing types, and term data representing terms that inhabit the types. Types include composite types (e.g., that represent entities), and instances of relation types that express relationships between types, between a type and a term, or between terms. Types and/or terms may have multiple relationships with one another, and a relationship may span database tables. A new relationship may be established by adding a new row to the database table to represent a new relation term, along with one or more similar rows to represent the relation role terms associated with that relation term; relationships may be removed by removing rows. As a result, the database table may change its state rapidly, without needing to change the database schema. | 11-11-2010 |
20100309206 | GRAPH SCALABILITY - Described is a technology for reducing the layout complexity of a graph, e.g., an STT graph. Nodes with similar incoming and outgoing links are grouped as candidate groupings to possibly be clustered. For each candidate grouping, if the nodes in the candidate grouping and/or the candidate grouping meet clustering criteria, the candidate grouping is clustered into a clustered node. The criteria may include user-specified parameters directed towards the nodes and/or the candidate groupings. For example, a node is removed from a group if the number of incoming links thereto or the number of outgoing links therefrom exceed maximum incoming and outgoing parameter values, respectively. A group is only clustered if the number of nodes therein meets a minimum size parameter. | 12-09-2010 |
20110054866 | Personalized plan development - A computationally implemented method includes, but is not limited to: receiving a request for a personalized plan designed to facilitate an end user to achieve one or more target outcomes when one or more emulatable aspects indicated by the personalized plan are emulated, the request identifying at least a source user; acquiring source user data indicating a plurality of reported aspects associated with at least the source user in response to receiving the request; and developing the personalized plan by at least determining which of the plurality of reported aspects associated with the source user are relevant to the achievement of the one or more target outcomes. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110054867 | Detecting deviation from compliant execution of a template - A computationally implemented method includes, but is not limited to: detecting deviation from a compliant execution of a template by an end user, the template designed to facilitate the end user to achieve one or more target outcomes when one or more emulatable aspects included in the template are emulated, the one or more emulatable aspects being based on one or more relevant reported aspects of one or more source users that are relevant to achieving the one or more target outcomes; and executing one or more actions in response to the detecting of the deviation In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110054939 | Personalized plan development - A computationally implemented method includes, but is not limited to: receiving a request for a personalized plan designed to facilitate an end user to achieve one or more target outcomes when one or more emulatable aspects indicated by the personalized plan are emulated, the request identifying at least a source user; acquiring source user data indicating a plurality of reported aspects associated with at least the source user in response to receiving the request; and developing the personalized plan by at least determining which of the plurality of reported aspects associated with the source user are relevant to the achievement of the one or more target outcomes. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110054940 | Template modification based on deviation from compliant execution of the template - A computationally implemented method includes, but is not limited to: determining whether a plurality of end users deviated from compliantly executing a template designed to facilitate the plurality of end users in achieving one or more target outcomes when one or more emulatable aspects included in the template are emulated by the plurality of end users, the one or more emulatable aspects being based on one or more relevant reported aspects of one or more source users that were deemed to have been relevant to achieving the one or more target outcomes; and modifying the template based, at least in part, on determining that the plurality of end users deviated from compliantly executing the template In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110054941 | Template development based on reported aspects of a plurality of source users - A computationally implemented method includes, but is not limited to: providing a plurality of relevant reported aspects associated with a plurality of source users that are relevant to achieving one or more target outcomes, the providing of the plurality of relevant reported aspects being based, at least in part, on relevancy of the plurality of relevant reported aspects with respect to the one or more target outcomes; and developing a template designed to facilitate one or more end users to achieve the one or more target outcomes when one or more emulatable aspects included in the template are emulated, the development of the template being based, at least in part, on the providing of the plurality of relevant reported aspects associated with the plurality of source users In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055094 | Personalized plan development based on outcome identification - A computationally implemented method includes, but is not limited to: receiving a request for one or more personalized plans designed to facilitate an end user to achieve one or more target outcomes when one or more emulatable aspects indicated by the one or more personalized plans are emulated, the request identifying the one or more target outcomes; seeking one or more reported aspects that are relevant to achieving the one or more target outcomes in response to receiving the request; and developing the one or more personalized plans based, at least in part, on the seeking. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055095 | Personalized plan development based on outcome identification - A computationally implemented method includes, but is not limited to: receiving a request for one or more personalized plans designed to facilitate an end user to achieve one or more target outcomes when one or more emulatable aspects indicated by the one or more personalized plans are emulated, the request identifying the one or more target outcomes; seeking one or more reported aspects that are relevant to achieving the one or more target outcomes in response to receiving the request; and developing the one or more personalized plans based, at least in part, on the seeking. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055096 | Personalized plan development based on identification of one or more relevant reported aspects - A computationally implemented method includes, but is not limited to: identifying one or more relevant reported aspects associated with one or more source users that are relevant to achieving one or more target outcomes, the identifying of the one or more relevant reported aspects being based, at least in part, on the one or more relevant reported aspects' relevancy with respect to the one or more target outcomes; and developing one or more personalized plans designed to facilitate an end user to achieve the one or more target outcomes when one or more emulatable aspects indicated by the one or more personalized plans are emulated, the development of the one or more personalized plans being based, at least in part, on the identifying In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055097 | Template development based on sensor originated reported aspects - A computationally implemented method includes, but is not limited to: providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors; and developing one or more templates designed to facilitate one or more end users to achieve one or more target outcomes when one or more emulatable aspects indicated by the one or more templates are emulated, the development of the one or more templates being based at least on a portion of the one or more reported aspects In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055105 | Personalized plan development based on identification of one or more relevant reported aspects - A computationally implemented method includes, but is not limited to: identifying one or more relevant reported aspects associated with one or more source users that are relevant to achieving one or more target outcomes, the identifying of the one or more relevant reported aspects being based, at least in part, on the one or more relevant reported aspects' relevancy with respect to the one or more target outcomes; and developing one or more personalized plans designed to facilitate an end user to achieve the one or more target outcomes when one or more emulatable aspects indicated by the one or more personalized plans are emulated, the development of the one or more personalized plans being based, at least in part, on the identifying In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055124 | Development of personalized plans based on acquisition of relevant reported aspects - A computationally implemented method includes, but is not limited to: acquiring one or more relevant reported aspects associated with one or more source users that are relevant to achieving one or more target outcomes, the acquisition of the one or more relevant reported aspects being based, at least in part, on relevancy of the one or more relevant reported aspects with respect to the achievement of the one or more target outcomes; and developing one or more personalized plans designed to facilitate an end user to achieve the one or more target outcomes when one or more emulatable aspects indicated by the one or more personalized plans are emulated, the development of the one or more personalized plans being based, at least in part, on the acquiring In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055125 | Template development based on sensor originated reported aspects - A computationally implemented method includes, but is not limited to: providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors; and developing one or more templates designed to facilitate one or more end users to achieve one or more target outcomes when one or more emulatable aspects indicated by the one or more templates are emulated, the development of the one or more templates being based at least on a portion of the one or more reported aspects In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055126 | Target outcome based provision of one or more templates - A computationally implemented method includes, but is not limited to: receiving one or more requests indicating at least one or more target outcomes of one or more particular templates, the one or more particular templates designed to facilitate one or more end users to achieve the one or more target outcomes when one or more emulatable aspects included in the one or more particular templates are emulated; and providing from a plurality of templates the one or more particular templates, the providing being based at least on the one or more particular templates' association with the one or more target outcomes, the one or more particular templates developed based on one or more reported aspects of one or more source users In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055142 | Detecting deviation from compliant execution of a template - A computationally implemented method includes, but is not limited to: detecting deviation from a compliant execution of a template by an end user, the template designed to facilitate the end user to achieve one or more target outcomes when one or more emulatable aspects included in the template are emulated, the one or more emulatable aspects being based on one or more relevant reported aspects of one or more source users that are relevant to achieving the one or more target outcomes; and executing one or more actions in response to the detecting of the deviation In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055143 | Template modification based on deviation from compliant execution of the template - A computationally implemented method includes, but is not limited to: determining whether a plurality of end users deviated from compliantly executing a template designed to facilitate the plurality of end users in achieving one or more target outcomes when one or more emulatable aspects included in the template are emulated by the plurality of end users, the one or more emulatable aspects being based on one or more relevant reported aspects of one or more source users that were deemed to have been relevant to achieving the one or more target outcomes; and modifying the template based, at least in part, on determining that the plurality of end users deviated from compliantly executing the template In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055144 | Template development based on reported aspects of a plurality of source users - A computationally implemented method includes, but is not limited to: providing a plurality of relevant reported aspects associated with a plurality of source users that are relevant to achieving one or more target outcomes, the providing of the plurality of relevant reported aspects being based, at least in part, on relevancy of the plurality of relevant reported aspects with respect to the one or more target outcomes; and developing a template designed to facilitate one or more end users to achieve the one or more target outcomes when one or more emulatable aspects included in the template are emulated, the development of the template being based, at least in part, on the providing of the plurality of relevant reported aspects associated with the plurality of source users In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055208 | Personalized plan development based on one or more reported aspects' association with one or more source users - A computationally implemented method includes, but is not limited to: providing one or more relevant reported aspects associated with one or more source users that are relevant to achieving one or more target outcomes, the providing of the one or more relevant reported aspects being based, at least in part, on the one or more relevant reported aspects' association with the one or more source users; and developing one or more personalized plans designed to facilitate an end user to achieve the one or more target outcomes when one or more emulatable aspects indicated by the one or more personalized plans are emulated, the development of the one or more personalized plans being based, at least in part, on the providing In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055225 | Development of personalized plans based on acquisition of relevant reported aspects - A computationally implemented method includes, but is not limited to: acquiring one or more relevant reported aspects associated with one or more source users that are relevant to achieving one or more target outcomes, the acquisition of the one or more relevant reported aspects being based, at least in part, on relevancy of the one or more relevant reported aspects with respect to the achievement of the one or more target outcomes; and developing one or more personalized plans designed to facilitate an end user to achieve the one or more target outcomes when one or more emulatable aspects indicated by the one or more personalized plans are emulated, the development of the one or more personalized plans being based, at least in part, on the acquiring In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055262 | Personalized plan development based on one or more reported aspects' association with one or more source users - A computationally implemented method includes, but is not limited to: providing one or more relevant reported aspects associated with one or more source users that are relevant to achieving one or more target outcomes, the providing of the one or more relevant reported aspects being based, at least in part, on the one or more relevant reported aspects' association with the one or more source users; and developing one or more personalized plans designed to facilitate an end user to achieve the one or more target outcomes when one or more emulatable aspects indicated by the one or more personalized plans are emulated, the development of the one or more personalized plans being based, at least in part, on the providing In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055265 | Target outcome based provision of one or more templates - A computationally implemented method includes, but is not limited to: receiving one or more requests indicating at least one or more target outcomes of one or more particular templates, the one or more particular templates designed to facilitate one or more end users to achieve the one or more target outcomes when one or more emulatable aspects included in the one or more particular templates are emulated; and providing from a plurality of templates the one or more particular templates, the providing being based at least on the one or more particular templates' association with the one or more target outcomes, the one or more particular templates developed based on one or more reported aspects of one or more source users In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055269 | Identification and provision of reported aspects that are relevant with respect to achievement of target outcomes - A computationally implemented method includes, but is not limited to: identifying, in response to reception of one or more solicitations, one or more relevant reported aspects associated with one or more source users that are relevant to achieving one or more target outcomes, the identification of the one or more relevant reported aspects being based, at least in part, on relevancy of the one or more relevant reported aspects with respect to achieving the one or more target outcomes; and providing the one or more relevant reported aspects. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055270 | Identification and provision of reported aspects that are relevant with respect to achievement of target outcomes - A computationally implemented method includes, but is not limited to: identifying, in response to reception of one or more solicitations, one or more relevant reported aspects associated with one or more source users that are relevant to achieving one or more target outcomes, the identification of the one or more relevant reported aspects being based, at least in part, on relevancy of the one or more relevant reported aspects with respect to achieving the one or more target outcomes; and providing the one or more relevant reported aspects. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055705 | Source user based provision of one or more templates - A computationally implemented method includes, but is not limited to: receiving one or more requests for one or more particular templates that are associated with one or more source users, the one or more particular templates designed to facilitate one or more end users to achieve one or more target outcomes when one or more emulatable aspects included in the one or more particular templates are emulated; and providing from a plurality of templates the one or more particular templates, the providing being based at least on the association of the one or more particular templates with the one or more source users, the one or more particular templates developed based on one or more reported aspects associated with the one or more source users In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110055717 | Source user based provision of one or more templates - A computationally implemented method includes, but is not limited to: receiving one or more requests for one or more particular templates that are associated with one or more source users, the one or more particular templates designed to facilitate one or more end users to achieve one or more target outcomes when one or more emulatable aspects included in the one or more particular templates are emulated; and providing from a plurality of templates the one or more particular templates, the providing being based at least on the association of the one or more particular templates with the one or more source users, the one or more particular templates developed based on one or more reported aspects associated with the one or more source users In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 03-03-2011 |
20110289038 | Visualization of Data Record Physicality - Systems (and corresponding methodologies) that enable inferences to be drawn from the physicality of electronic information much like that of a visual inspection of physical records are provided. In other words, a user is able to draw inferences from parameters of electronic data such as quantity, regularity, age, condition, type, keywords, title, author, origination date, storage location, etc. The innovation provides a data observation system having a summarization generator component and a rendering component that conveys attributes of electronic data such that inferences and conclusions based upon the physicality of the data. | 11-24-2011 |
20110320431 | STRONG TYPING FOR QUERYING INFORMATION GRAPHS - Described herein is using type information with a graph of nodes and predicates, in which the type information may be used to determine validity of (type check) a query to be executed against the graph. In one aspect, each node has a type, and each predicate indicates a valid relationship between two types of nodes. A type checking mechanism uses the type information to determine whether a query is valid, which may be the entire query prior to query processing/compilation time, or as the query is being composed by a user. One or more valid predicates for a given node may be discovered based upon the node type, such as discovered to assist the user during query composition. Also described is using the type information to optimize the query. | 12-29-2011 |
20120158636 | EFFICIENT PROBABILISTIC REASONING OVER SEMANTIC DATA - A semantic reasoning engine is described for performing probabilistic reasoning over a semantic graph in a time-efficient and viable manner. The semantic reasoning engine includes a data store that provides the semantic graph, where the semantic graph is formed by a plurality of concepts connected together via probabilistic assertions. The semantic reasoning engine operates by providing an answer to a query by recursively collapsing the semantic graph based on at least one collapsing rule. | 06-21-2012 |
20130024408 | ACTION EXECUTION BASED ON USER MODIFIED HYPOTHESIS - A computationally implemented method includes, but is not limited to: selecting at least one hypothesis from a plurality of hypotheses relevant to a user, the selection of the at least one hypothesis being based, at least in part, on at least one reported event associated with the user; and presenting one or more advisories related to the hypothesis. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 01-24-2013 |
20130144919 | TEMPLATE DEVELOPMENT BASED ON REPORTED ASPECTS OF A PLURALITY OF SOURCE USERS - A computationally implemented method includes, but is not limited to: providing a plurality of relevant reported aspects associated with a plurality of source users that are relevant to achieving one or more target outcomes, the providing of the plurality of relevant reported aspects being based, at least in part, on relevancy of the plurality of relevant reported aspects with respect to the one or more target outcomes; and developing a template designed to facilitate one or more end users to achieve the one or more target outcomes when one or more emulatable aspects included in the template are emulated, the development of the template being based, at least in part, on the providing of the plurality of relevant reported aspects associated with the plurality of source users In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure. | 06-06-2013 |