Abstract: An approach is provided for an information handling system that includes a processor and a memory to improve the quality of question-answer sets used as inputs to a question-answering (QA) system. In the approach, a question-answer pair is analyzed using natural language processing (NLP) components. Some of the NLP components may be taken from the QA system whose input is being analyzed The question-answer pair includes a question and an answer to the question. Based on the analysis, one or more shortcomings of the question-answer pair are identified. The shortcomings relate to an ability of the target QA system to analyze the question. A human-readable feedback is provided to a user. The feedback recommends one or more possible actions to address the identified shortcomings.

Abstract: Methods and systems may provide for identifying a data service having a data locality constraint, determine whether capability data associated with the data service satisfies one or more deployment criteria of a cloud service and bind, if the capability data satisfies the one or more deployment criteria, the cloud service to the data service in accordance with the data locality constraint. In one example, the data service is identified based at least in part on a capability of the cloud service to be provisioned with a deployment location that complies with the data locality constraint.

Abstract: Methods and systems may provide for identifying a data service having a data locality constraint, determine whether capability data associated with the data service satisfies one or more deployment criteria of a cloud service and bind, if the capability data satisfies the one or more deployment criteria, the cloud service to the data service in accordance with the data locality constraint. In one example, the data service is identified based at least in part on a capability of the cloud service to be provisioned with a deployment location that complies with the data locality constraint.

Abstract: An approach is provided for an information handling system that includes a processor and a memory to improve the quality of question-answer sets used as inputs to a question-answering (QA) system. In the approach, a question-answer pair is analyzed using natural language processing (NLP) components. Some of the NLP components may be taken from the QA system whose input is being analyzed The question-answer pair includes a question and an answer to the question. Based on the analysis, one or more shortcomings of the question-answer pair are identified. The shortcomings relate to an ability of the target QA system to analyze the question. A human-readable feedback is provided to a user. The feedback recommends one or more possible actions to address the identified shortcomings.

Abstract: An approach is provided for an information handling system that includes a processor and a memory to improve the quality of question-answer sets used as inputs to a question-answering (QA) system. In the approach, a question-answer pair is analyzed using natural language processing (NLP) components. Some of the NLP components may be taken from the QA system whose input is being analyzed The question-answer pair includes a question and an answer to the question. Based on the analysis, one or more shortcomings of the question-answer pair are identified. The shortcomings relate to an ability of the target QA system to analyze the question. A human-readable feedback is provided to a user. The feedback recommends one or more possible actions to address the identified shortcomings.

Abstract: An approach is provided for an information handling system that includes a processor and a memory to improve the quality of question-answer sets used as inputs to a question-answering (QA) system. In the approach, a question-answer pair is analyzed using natural language processing (NLP) components. Some of the NLP components may be taken from the QA system whose input is being analyzed The question-answer pair includes a question and an answer to the question. Based on the analysis, one or more shortcomings of the question-answer pair are identified. The shortcomings relate to an ability of the target QA system to analyze the question. A human-readable feedback is provided to a user. The feedback recommends one or more possible actions to address the identified shortcomings.

Abstract: Disclosed are a method, system and computer program product for placing a group order, mediated by a system having one or more computers, the method comprising the steps of: publishing, by a publisher, information about a quantity of a material; subscribing, via a subscriber, to a topic comprising said information; receiving, via a subscriber, said information; aggregating, via a subscriber, said information from at least one of said publishers; and responsive to said step of aggregating, selecting based on at least one criterion a best time to place said group order.

Abstract: Converting an electronic representation of a coordinate based document to an electronic representation of a tag based document is described. Objects, defined by records stored in the electronic representation of the coordinate based document, that are positioned in a current line are identified. The identified objects are sorted based on respective horizontal positions (specifically, from left to right) of the identified objects in an electronic canvas. A vertical distance between the current line and an adjacent line is calculated, and an inter-line tag is generated as a function of the distance. The inter-line tag is stored in the electronic representation of the tag based document.

Abstract: Converting an electronic representation of a coordinate based document to an electronic representation of a tag based document is described. Objects, defined by records stored in the electronic representation of the coordinate based document, that are positioned in a current line are identified. The identified objects are sorted based on respective horizontal positions (specifically, from left to right) of the identified objects in an electronic canvas. A vertical distance between the current line and an adjacent line is calculated, and an inter-line tag is generated as a function of the distance. The inter-line tag is stored in the electronic representation of the tag based document.

Abstract: A smart hypermedia system that acquires user characteristics either directly or inferentially. Simple associative networks serve to model user profiles, including relationships between user goals and the hypermedia information nodes. Hypermedia links to other nodes are recommended by ranking a link list in an order that depends on one or more user profiles containing information relating to users' goals and interests. Users can teach the system directly by rearranging the order of suggested links on the list. The system can also learn indirectly by observing how long and in what sequence the user views each hypermedia information node. User profiles can be combined to form group profiles and may be dynamically and continuously updated to form an adaptive system profile. The two system learning modes may be simultaneous or disjoint.