Abstract: Collaborative virtual business object (VBO) social sharing that may include generating a VBO responsive to an avatar performing a transaction, and providing access to the VBO to other avatars desiring access. Access to the VBO may be provided by registering information regarding accessing the VBO in an inventory of the avatar, registering information regarding accessing the VBO in a centralized registry, allowing some portions of the VBO to be searchable, or uploading a modified copy of the VBO to a centralized VBO data upload facility. Portions of the VBO may be identified as private or public and access provided to only the public portions. An apparatus for collaborative virtual business object (VBO) social sharing may include an interface configured to access virtual world and a processor configured to generate a VBO responsive to a transaction in the virtual world and provide access to the VBO.

Abstract: Mechanisms are provided for performing an operation based on an identification of similar lines of questioning by input question sources. Question information identifying extracted features of an input question and a first source of the input question is obtained. A clustering operation is performed to cluster the input question with one or more other questions of a cluster based on a similarity of the extracted features of the input question to features of the one or more other questions. An operation is performed based on results of the clustering of the input question with the one or more other questions.

Abstract: Mechanisms are provided for performing an operation based on an identification of similar lines of questioning by input question sources. Question information identifying extracted features of an input question and a first source of the input question is obtained. A clustering operation is performed to cluster the input question with one or more other questions of a cluster based on a similarity of the extracted features of the input question to features of the one or more other questions. An operation is performed based on results of the clustering of the input question with the one or more other questions.

Abstract: Various embodiments provide for the use of analytics to determine a number of key factors prior to a user sending a communication (e.g., an email or instant message, making an online social media post, or accepting or requesting friendship on a social media site). The analytics may determine content, subject, emotion, relationships, and other relevant details when users interact (e.g., with email or other social software). Any alerts/suggestions provided can be provided in real-time as the person types.

Abstract: A method for mapping transactions between a real world and a virtual world may include receiving information associated with a real world item at a virtual business object (VBO) controller. Information associated with a user is received at the VBO controller. In response to receiving by the VBO controller a decision to buy the real world item, the VBO controller generates a VBO, which includes the information associated with the real world item. In response to receiving at the VBO controller a decision not to buy the real world item, the VBO controller generates a VBO light, which includes the information associated with the real world item. Either the generated VBO or the VBO light is transmitted to a VBO inventory database associated with the user based on the user's information.

Abstract: Mechanisms are provided for performing an operation based on an identification of similar lines of questioning by input question sources. Question information identifying extracted features of an input question and a first source of the input question is obtained. A clustering operation is performed to cluster the input question with one or more other questions of a cluster based on a similarity of the extracted features of the input question to features of the one or more other questions. An operation is performed based on results of the clustering of the input question with the one or more other questions.

Abstract: A system for automatically increasing a capacity of a virtual space in a virtual world may include a processor and a module operating on the processor for detecting an attempt by an avatar to enter a virtual space in a virtual world. The system may also include another module for determining if an allowable number of avatars is currently in the virtual space. The allowable number of avatars may be determined by at least a capacity of a server that is hosting the virtual space. Another module may be provided for increasing a capacity of the virtual space when the allowable number of avatars is currently in the virtual space. Increasing the capacity of the virtual space may include spawning a replicate new virtual space on a different server in response to the capacity of the server that is hosting the virtual space reaching the allowable number of avatars.

Abstract: In an approach to assessing risk, one or more computer processors retrieve a profile associated with a first user, wherein the first user is a resource associated with at least one task of a project. The one or more computer processors retrieve one or more activities associated with the first user, based on the profile associated with the first user, including one or more activities associated with the project and one or more activities not associated with the project. The one or more computer processors perform a risk analysis of the project, based, at least in part, on the one or more activities associated with the first user. The one or more computer processors determine whether one or more risks to the project are identified. Responsive to determining one or more risks are identified, the one or more computer processors recommend one or more risk reduction activities.

Abstract: Mechanisms for generating an answer to an input question are provided. The mechanisms receive an input question and route the input question to a plurality of Question and Answer (QA) system pipelines. The mechanisms receive results of processing the input question from each QA system pipeline in the plurality of QA system pipelines. The results comprise one or more candidate answers to the input question and associated confidence scores. The mechanisms adjust, for each QA system pipeline, the confidence scores of the one or more candidate answers associated with the QA system pipeline based on one or more weighting factors. In addition, the mechanisms generate the answer to the input question based on the adjusted confidence scores of the one or more candidate answers for each QA system pipeline.

Abstract: Various embodiments provide for the use of analytics to determine a number of key factors prior to a user sending a communication (e.g., an email or instant message, making an online social media post, or accepting or requesting friendship on a social media site). The analytics may determine content, subject, emotion, relationships, and other relevant details when users interact (e.g., with email or other social software). Any alerts/suggestions provided can be provided in real-time as the person types.

Abstract: Mechanisms are provided for generating an answer for an input question when the answer is not directly present in a corpus of information. An input question is received from a computing device and analyzed to determine whether the input question is requesting an answer that is calculable. In response to a determination that the input question is requesting an answer that is calculable, one or more constituent data values are retrieved, from a corpus of information, for calculating the requested answer to the input question. A value corresponding to the requested answer is calculated based on the one or more retrieved constituent data values and is then output as the requested answer to the input question.

Abstract: Mapping of a universal resource locator (URL) to a virtual world location may include receiving a URL for access to an entity, accessing a mapping of the URL to coordinates of a location of the entity in a virtual world, and providing access to the entity in the virtual world. A device that may include a network interface, the network interface being configured to receive a URL and provide access to a virtual world, and a memory, the memory containing at least one mapping of a URL to coordinates in the virtual world.

Abstract: Mechanisms are provided for performing load balancing of question processing in a Question and Answer (QA) system, implemented by the data processing system, having a plurality of QA system pipelines. The mechanisms receive an input question for processing by the QA system and determine a predicted question difficulty of the input question. The mechanisms select a QA system pipeline from the plurality of QA system pipelines based on the predicted question difficulty and route the input question to the selected QA system pipeline for processing. In addition, the mechanisms process the input question with the selected QA system pipeline to generate an answer for the input question.

Abstract: A collaborative computing device group operative under a shared multiple discrete desktop user interface is established from a first desktop of a first computing device and a different discrete desktop of a second computing device physically located in user visual proximity to the first computing device. A color-coded graphical representation of a user-interface control port that allows authorized cursor navigation to and from the second computing device is displayed on the first desktop oriented in a respective direction of the second computing device. A cursor of the second computing device is authorized to migrate, under control of a user of the second computing device, from the different discrete desktop through the color-coded graphical representation of the user-interface control port of the second computing device to the first desktop and the first computing device is controlled in accordance with visual navigation and control of the cursor of the second computing device.

Abstract: A collaborative computing device group operative under a shared multiple discrete desktop user interface is established from a first desktop of a first computing device and a different discrete desktop of a second computing device physically located in user visual proximity to the first computing device. A color-coded graphical representation of a user-interface control port that allows authorized cursor navigation to and from the second computing device is displayed on the first desktop oriented in a respective direction of the second computing device. A cursor of the second computing device is authorized to migrate, under control of a user of the second computing device, from the different discrete desktop through the color-coded graphical representation of the user-interface control port of the second computing device to the first desktop and the first computing device is controlled in accordance with visual navigation and control of the cursor of the second computing device.

Abstract: Various embodiments provide for the use of analytics to determine a number of key factors prior to a user sending a communication (e.g., an email or instant message, making an online social media post, or accepting or requesting friendship on a social media site). The analytics may determine content, subject, emotion, relationships, and other relevant details when users interact (e.g., with email or other social software). Any alerts/suggestions provided can be provided in real-time as the person types.

Abstract: Mechanisms are provided for dynamically selecting a subset of candidate answer sources for use by a question and answer (QA) system. The QA system receives an input question for which an answer is sought and generates one or more queries based on the input question. The QA system selects a subset of candidate answer sources, from a group of candidate answer sources, based on a ranked listing of candidate answer sources. The ranked listing of candidate answer sources is generated based on characteristics of previous candidate answers generated by the QA system for previously input questions. The QA system applies the one or more queries to the subset of candidate answer sources and generates at least one candidate answer for the input question based on results of applying the one or more queries to the subset of candidate answer sources.

Abstract: Mechanisms are provided for performing load balancing of question processing in a Question and Answer (QA) system, implemented by the data processing system, having a plurality of QA system pipelines. The mechanisms receive an input question for processing by the QA system and determine a predicted question difficulty of the input question. The mechanisms select a QA system pipeline from the plurality of QA system pipelines based on the predicted question difficulty and route the input question to the selected QA system pipeline for processing. In addition, the mechanisms process the input question with the selected QA system pipeline to generate an answer for the input question.

Abstract: Mechanisms for selecting a pipeline of a question and answer (QA) system to process an input question are provided. An input question is received and analyzed to identify at least one feature of the input question. Clustering of the input question, with one or more previously generated clusters of questions, is performed based on the at least one feature of the input question. Based on results of the clustering, a matching cluster, of the one or more previously generated clusters, is identified with which the input question is associated. A QA system pipeline associated with the matching cluster is identified and the input question is processed using the identified QA system pipeline to generate one or more candidate answers for the input question. Each cluster in the one or more previously generated clusters has an associated QA system pipeline.

Abstract: Mechanisms are provided for performing an operation based on an identification of similar lines of questioning by input question sources. Question information identifying extracted features of an input question and a first source of the input question is obtained. A clustering operation is performed to cluster the input question with one or more other questions of a cluster based on a similarity of the extracted features of the input question to features of the one or more other questions. An operation is performed based on results of the clustering of the input question with the one or more other questions.