Abstract: Disclosed is a system and method to automatically identify property-related risks through the use of computer vision, sensors, and/or building information models (BIMs). The ability to automatically identify a variety of hazards helps mitigate the associated risks, and thus reduces the number of accidents or fatalities that would otherwise occur. In some embodiments, a “risk map” can be generated by mapping the identified risks for a given property.

Abstract: Performing information extraction from an electronic document is disclosed. A method comprises: receiving a semi-structured input document; retrieving an entity model that provides one or more domain variable definitions for one or more domain variables, wherein the entity model and the input document correspond to a common domain; determining that the input document includes an entity that satisfies a first domain variable definition corresponding to a first domain variable; retrieving a relational model that provides, for the first domain variable, one or more relational definitions comprising spatial restrictions for one or more values corresponding to the first domain variable; extracting one or more data elements from the input document that satisfy the one or more relational definitions; and generating an information graph having a structured data format, wherein the one or more data elements extracted from the input document correspond to the first domain variable in the structured data format.

Abstract: Disclosed is a system and method to automatically identify property-related risks through the use of computer vision, sensors, and/or building information models (BIMs). The ability to automatically identify a variety of hazards helps mitigate the associated risks, and thus reduces the number of accidents or fatalities that would otherwise occur. In some embodiments, a “risk map” can be generated by mapping the identified risks for a given property.

Abstract: Disclosed is a system and method to automatically identify property-related risks through the use of computer vision, sensors, and/or building information models (BIMs). The ability to automatically identify a variety of hazards helps mitigate the associated risks, and thus reduces the number of accidents or fatalities that would otherwise occur. In some embodiments, a “risk map” can be generated by mapping the identified risks for a given property.

Abstract: Performing information extraction from an electronic document is disclosed. A method comprises: receiving a semi-structured input document; retrieving an entity model that provides one or more domain variable definitions for one or more domain variables, wherein the entity model and the input document correspond to a common domain; determining that the input document includes an entity that satisfies a first domain variable definition corresponding to a first domain variable; retrieving a relational model that provides, for the first domain variable, one or more relational definitions comprising spatial restrictions for one or more values corresponding to the first domain variable; extracting one or more data elements from the input document that satisfy the one or more relational definitions; and generating an information graph having a structured data format, wherein the one or more data elements extracted from the input document correspond to the first domain variable in the structured data format.

Abstract: Disclosed is a system and method to automatically identify property-related risks through the use of computer vision, sensors, and/or building information models (BIMs). The ability to automatically identify a variety of hazards helps mitigate the associated risks, and thus reduces the number of accidents or fatalities that would otherwise occur. In some embodiments, a “risk map” can be generated by mapping the identified risks for a given property.

Abstract: Disclosed is a system and method to automatically identify property-related risks through the use of computer vision, sensors, and/or building information models (BIMs). The ability to automatically identify a variety of hazards helps mitigate the associated risks, and thus reduces the number of accidents or fatalities that would otherwise occur. In some embodiments, a “risk map” can be generated by mapping the identified risks for a given property.

Abstract: Disclosed is a system and method to automatically identify property-related risks through the use of computer vision, sensors, and/or building information models (BIMs). The ability to automatically identify a variety of hazards helps mitigate the associated risks, and thus reduces the number of accidents or fatalities that would otherwise occur. In some embodiments, a “risk map” can be generated by mapping the identified risks for a given property.

Abstract: The invention disclosed here is aimed at enabling a trusted third party to manage user opt-ins which would enable growth of personalized information services, that is, enabling trusted business relationships between three types of entities—an end-user, an information source/provider, and an application service provider/developer—so that they can have a controlled, secure and private exchange of sensitive and/or confidential information. The inventive system has modes of operation recommended based on various conditions, enabling a secure exchange of private information between personal information repository owners and application services providers to enable deliver of personalized services. One mode is Durable Subscription Management, which is used when per transaction approval is not needed, that is, when an end-user has given permission to access data for a given or predefined period of time.

Abstract: The present invention concerns methods and apparatus for implementing a model-based paradigm for use in developing systems of software solutions. In a method of the present invention, a developer defines templates for use in creating software architecture elements which comprise a software solution or a system of software solutions. The template definitions comprise specifications of template attributes. The developer specifies relationships and dependencies among the templates using a computer programmed to receive the template definitions.

Abstract: The invention disclosed here is aimed at enabling a trusted third party to manage user opt-ins which would enable growth of personalized information services, that is, enabling trusted business relationships between three types of entities—an end-user, an information source/provider, and an application service provider/developer—so that they can have a controlled, secure and private exchange of sensitive and/or confidential information. The inventive system has modes of operation recommended based on various conditions, enabling a secure exchange of private information between personal information repository owners and application services providers to enable deliver of personalized services. One mode is Durable Subscription Management, which is used when per transaction approval is not needed, that is, when an end-user has given permission to access data for a given or predefined period of time.

Abstract: Indexing, searching, and retrieving the content of speech documents (including but not limited to recorded books, audio broadcasts, recorded conversations) is accomplished by finding and retrieving speech documents that are related to a query term at a conceptual level, even if the speech documents does not contain the spoken (or textual) query terms. Concept-based cross-media information retrieval is used. A term-phoneme/document matrix is constructed from a training set of documents. Documents are then added to the matrix constructed from the training data. Singular Value Decomposition is used to compute a vector space from the term-phoneme/document matrix. The result is a lower-dimensional numerical space where term-phoneme and document vectors are related conceptually as nearest neighbors. A query engine computes a cosine value between the query vector and all other vectors in the space and returns a list of those term-phonemes and/or documents with the highest cosine value.

Abstract: A collaborative panel administrator provides virtual panel lifecycle management to a wide variety of data acquisition and analysis services. Broadly, it supports three types of functionalities—it provides panel lifecycle management functions; it acts as a service plug-in registry allowing various data acquisition and analysis services to register with it and extend its functionality; and, it acts as a client for the registered analysis services by invoking them on user requests and then storing and distributing the results according to panel security policies.

Abstract: An inventive system and method for developing and deploying converged services having incoming messages from a network and/or a service includes a graphical front end for creating flows having one or more event match criteria, each event match criteria having corresponding logic, a generator for generating runtime code from the flows, and a runtime engine operable to perform the runtime code, in which an incoming message is matched to one of the event match criteria and the corresponding logic is executed. The logic can be logic performed by the converged service. A user of the inventive system can switch between the flow created in the graphical interface and the runtime code generated from the flow.

Abstract: Indexing, searching, and retrieving the content of speech documents (including but not limited to recorded books, audio broadcasts, recorded conversations) is accomplished by finding and retrieving speech documents that are related to a query term at a conceptual level, even if the speech documents does not contain the spoken (or textual) query terms. Concept-based cross-media information retrieval is used. A term-phoneme/document matrix is constructed from a training set of documents. Documents are then added to the matrix constructed from the training data. Singular Value Decomposition is used to compute a vector space from the term-phoneme/document matrix. The result is a lower-dimensional numerical space where term-phoneme and document vectors are related conceptually as nearest neighbors. A query engine computes a cosine value between the query vector and all other vectors in the space and returns a list of those term-phonemes and/or documents with the highest cosine value.

Abstract: A service creation and execution platform provides a unified representation for messages and network protocols. Specifically, the platform is flexible and relies on a bootstrapping approach which enables incorporation of new message formats and protocols. Additional capabilities of the platform include a Graphical User Interface which makes specification of network services easier.

Abstract: The use of latent semantic indexing (LSI) for information retrieval and text mining operations is adapted to work on large heterogeneous data sets by first partitioning the data set into a number of smaller partitions having similar concept domains. A similarity graph network is generated in order to expose links between concept domains which are then exploited in determing which domains to query as well as in expanding the query vector. LSI is performed on those partitioned data sets most likely to contain information related to the user query or text mining operation. In this manner LSI can be applied to datasets that heretofore presented scalability problems. Additionally, the computation of the singular value decomposition of the term-by-document matrix can be accomplished at various distributed computers increasing the robustness of the retrieval and text mining system while decreasing search times.

Abstract: The present invention concerns methods and apparatus for implementing a model-based paradigm for use in developing systems of software solutions. In a method of the present invention, a developer defines templates for use in creating software architecture elements which comprise a software solution or a system of software solutions. The template definitions comprise specifications of template attributes; template attribute types; value editors for use in editing template attributes; value validators for validating values assigned to template attributes and code generators for generating code when the template is used to create an architecture element in a software solution. The template definitions are created using a graphical user interface which allows a developer to specify relationships and dependencies among the templates.

Abstract: This system for generating message transformation and validation software uses interface definition documents as inputs. An interface definition consists of an internally consistent set of message definitions, data dictionary entries, transformation rules, and validation rules. A user-friendly graphical user interface provides the requirements engineer or other user with the ability to specify these documents. This graphical user interface is a structured table and rules editor that allows the requirements engineer to enter and validate interface definitions to ensure that the definitions meet certain predetermined requirements. The generation system takes the interface definition documents as input and generates various software artifacts to transform and validate messages. W3C XML schemas are generated from an interface definition for assistance with code development, for use as standards-compliant interface definition that can be reused and composed with other schemas, and for validating messages.

Abstract: The use of latent semantic indexing (LSI) for information retrieval and text mining operations is adapted to work on large heterogeneous data sets by first partitioning the data set into a number of smaller partitions having similar concept domains A similarity graph network is generated in order to expose links between concept domains which are then exploited in determing which domains to query as well as in expanding the query vector. LSI is performed on those partitioned data sets most likely to contain information related to the user query or text mining operation. In this manner LSI can be applied to datasets that heretofore presented scalability problems. Additionally, the computation of the singular value decomposition of the term-by-document matrix can be accomplished at various distributed computers increasing the robustness of the retrieval and text mining system while decreasing search times.