Abstract: An approach is described for identifying an entity associated with a communication in an online environment. A method pertaining to such approach may include receiving a communication within the online environment. The communication may be received via a communications network. The communication may include a plurality of sequential messages. The method further may include facilitating parsing, via natural language processing, of language in the communication corresponding to an entity and one or more sentiments associated with the entity. The method further may include determining whether the entity is unambiguously identifiable. Upon determining that the entity is not unambiguously identifiable, the method may include identifying the entity based upon Bayesian inference. According to an embodiment, determining whether the entity is unambiguously identifiable may include determining whether the entity is among a plurality of participants in the communication.

Abstract: A computer receives event information associated with a user. The computer determines one or more social media contacts associated with the event, wherein the social media contacts are further associated with the user. The computer determines one or more terms utilized by the determined one or more social media contacts. The computer detects an input by the user, wherein the input includes one or more characters. The computer determines one or more autocomplete suggestions based on the one or more terms utilized by the determined one or more social media contacts.

Abstract: A computer receives event information associated with a user. The computer determines one or more social media contacts associated with the event, wherein the social media contacts are further associated with the user. The computer determines one or more terms utilized by the determined one or more social media contacts. The computer detects an input by the user, wherein the input includes one or more characters. The computer determines one or more autocomplete suggestions based on the one or more terms utilized by the determined one or more social media contacts.

Abstract: A computer receives event information associated with a user. The computer determines one or more social media contacts associated with the event, wherein the social media contacts are further associated with the user. The computer determines one or more terms utilized by the determined one or more social media contacts. The computer detects an input by the user, wherein the input includes one or more characters. The computer determines one or more autocomplete suggestions based on the one or more terms utilized by the determined one or more social media contacts.

Abstract: Automatically deploying a configured system into a computing environment (such as a cloud computing environment) for execution therein comprises obtaining a configured architecture model describing the configured system, and iteratively evaluating the model to deploy pre-built components for the system and to create and enable a development environment in the computing environment for development of custom-built components needed for the system according to the model. The automated deployment processing further comprises automatically configuring the system; determining a proper installation sequence; allocating resources in the target environment; and installing the required tools and other software that will be needed for execution once the components of the system are deployed. Component metadata is used during the deployment, enabling automated consideration of various factors such as whether component dependencies, resource requirements, and compatibility issues are met.

Abstract: A processor-implemented method is provided. The method may include providing a content registry with at least one application program interface (API) to manage a plurality of entries stored in the content registry. The method may also include providing access to the plurality of entries by a pre-authorized search engine to the content registry in response to a search requested by an authorized requester.

Abstract: An email received by a user is determined. A task associated with the email is determined. An incentive content for the email is determined. Responsive to the user completing the task, the incentive content is provided to the user.

Abstract: In a method for dynamically replacing code within a software application on a device, an annotated code segment that performs a function according to a first data policy is received. The computer determines an alternate segment that performs the function according to a second data policy.

Abstract: A processor-implemented method is provided. The method may include providing a content registry with at least one application program interface (API) to manage a plurality of entries stored in the content registry. The method may also include providing access to the plurality of entries by a pre-authorized search engine to the content registry in response to a search requested by an authorized requester.

Abstract: A processor-implemented method is provided. The method may include providing a content registry with at least one application program interface (API) to manage a plurality of entries stored in the content registry. The method may also include providing access to the plurality of entries by a pre-authorized search engine to the content registry in response to a search requested by an authorized requester.

Abstract: Programmable devices selectively allocate file content portions between cloud and secured hardware device storage mediums. A confidential portion of a first file is stored as a second file on a first device, and a remainder portion of content of the first file that is different from the confidential portion and is not designated as confidential is stored on a cloud storage system. A uniform resource indicator is generated that includes a routing identifier to the first device, and a section routing identifier to the second file stored on the first device. A revised version of the first file is stored to the cloud storage system wherein the confidential portion of the first file is replaced with the generated uniform resource indicator within the revised version of the first file at a location of the confidential portion within the content of the first file.

Abstract: A computer receives event information associated with a user. The computer determines one or more social media contacts associated with the event, wherein the social media contacts are further associated with the user. The computer determines one or more terms utilized by the determined one or more social media contacts. The computer detects an input by the user, wherein the input includes one or more characters. The computer determines one or more autocomplete suggestions based on the one or more terms utilized by the determined one or more social media contacts.

Abstract: A method for selective exposure of document tags associated with a plurality of online search engine content based on a predetermined user criteria is provided. The method may include annotating a content tag associated with the plurality of search engine content with a plurality of metadata, whereby the plurality of metadata includes a text and an access control. The method may also include displaying a plurality of content based on the annotated content tag.

Abstract: Embodiments of the invention relate to supply chain recommendations and application in real-time. A correlation between order proposals and firm orders is provided, and a correlation between the proposals and orders is measured in the form of compliance. A command associated with a measurement of the compliance is generated and applied to one or more hardware addressable components or associated machines. The application of the commands changes a physical aspect of the product, thereby effectively transforming a state of the product.

Abstract: Programmable devices selectively allocate file content portions between cloud and secured hardware device storage mediums. A confidential portion of a first file is stored as a second file on a first device, and a remainder portion of content of the first file that is different from the confidential portion and is not designated as confidential is stored on a cloud storage system. A uniform resource indicator is generated that includes a routing identifier to the first device, and a section routing identifier to the second file stored on the first device. A revised version of the first file is stored to the cloud storage system wherein the confidential portion of the first file is replaced with the generated uniform resource indicator within the revised version of the first file at a location of the confidential portion within the content of the first file.

Abstract: A processor-implemented method is provided. The method may include providing a content registry with at least one application program interface (API) to manage a plurality of entries stored in the content registry. The method may also include providing access to the plurality of entries by a pre-authorized search engine to the content registry in response to a search requested by an authorized requester.

Abstract: A processor-implemented method is provided. The method may include providing a content registry with at least one application program interface (API) to manage a plurality of entries stored in the content registry. The method may also include providing access to the plurality of entries by a pre-authorized search engine to the content registry in response to a search requested by an authorized requester.

Abstract: Programmable devices selectively allocate file content portions between cloud and secured hardware device storage mediums. A confidential portion of a first file is stored as a second file on a first device, and a remainder portion of content of the first file that is different from the confidential portion and is not designated as confidential is stored on a cloud storage system. A uniform resource indicator is generated that includes a routing identifier to the first device, and a section routing identifier to the second file stored on the first device. A revised version of the first file is stored to the cloud storage system wherein the confidential portion of the first file is replaced with the generated uniform resource indicator within the revised version of the first file at a location of the confidential portion within the content of the first file.

Abstract: Assigning a new set of tags to a document is provided. A document with a set of existing tags created by an author of the document is received via a network. A set of new tags created by a group of tag editors corresponding to the document is received via the network. The set of existing tags created by the author of the document is processed with the set of new tags created by the group of tag editors. A new set of tags is assigned to the document based on processing the set of existing tags created by the author of the document with the set of new tags created by the group of tag editors.

Abstract: The configuration of a system is programmatically determined. More particularly, these determinations are made using architecture artifacts that describe requirements of the system (which may be comprised of software, hardware, services, or some combination thereof), where these requirements are iteratively compared to characteristics of available components. A percentage of match is preferably computed, thus allowing for complete matches as well as partial matches. A weighting factor may be applied to attributes, effectively prioritizing attributes in view of their relative importance in the assembled system. When more than one component is a candidate for meeting a particular requirement, user input may be obtained to select one of the candidates. One or more attributes (such as cost information) of each candidate, including how well that candidate matched requirements, may be included for each candidate presented for user selection. The model may be updated and re-evaluated iteratively.