Abstract: An automated concept-based autosuggest mechanism is provided for automatically tailoring autosuggestions in a search engine to particular medical concepts being searched. The mechanism identifies a concept-based text pattern dictionary data structure associated with text being dynamically entered by a user based on a previously identified item. The mechanism dynamically matches a set of text patterns in the concept-based text pattern dictionary data structure with a portion of text being dynamically entered by the user into a field of the user interface. The mechanism generates a user selectable output in the user interface specifying the matching set of text patterns from the concept-based text pattern dictionary data structure. The mechanism automatically populates the field of the user interface with a selected text pattern from the set of matching text patterns in response to user selection of the selectable text patter in the user selectable output in the user interface.

Abstract: An automated concept-based autosuggest mechanism is provided for automatically tailoring autosuggestions in a search engine to particular medical concepts being searched. The mechanism identifies a concept-based text pattern dictionary data structure associated with text being dynamically entered by a user based on a previously identified item. The mechanism dynamically matches a set of text patterns in the concept-based text pattern dictionary data structure with a portion of text being dynamically entered by the user into a field of the user interface. The mechanism generates a user selectable output in the user interface specifying the matching set of text patterns from the concept-based text pattern dictionary data structure. The mechanism automatically populates the field of the user interface with a selected text pattern from the set of matching text patterns in response to user selection of the selectable text patter in the user selectable output in the user interface.

Abstract: A system and computer implemented method for generating a set of inferred questions for a question answering system is disclosed. The method may include determining, based on context data, a user state. The method may also include extracting characterization information for an object satisfying an attention criteria. The characterization information may be configured to include sensory data. The method may also include determining a relationship between the object and the user state based on the characterization information for the object and the context data of the user state. The method may also include generating, based on the relationship between the object and the user state, a set of inferred questions for a question answering system.

Abstract: Corpus-scoped annotation and analysis. Enrichment analysis data is generated including annotations and metadata for a plurality of documents that are part of a corpus. Whether to generate a second set of annotations is determined, based on a correlation of the annotations and metadata. A relational database is populated with the enrichment analysis data. A corpus-scoped query is resolved, initiated by an application, using the enrichment analysis data and content of the corpus.

Abstract: Corpus-scoped annotation and analysis. Enrichment analysis data is generated including annotations and metadata for a plurality of documents that are part of a corpus. Whether to generate a second set of annotations is determined, based on a correlation of the annotations and metadata. A relational database is populated with the enrichment analysis data. A corpus-scoped query is resolved, initiated by an application, using the enrichment analysis data and content of the corpus.

Abstract: Corpus-scoped annotation and analysis. Enrichment analysis data is generated including annotations and metadata for a plurality of documents that are part of a corpus. Whether to generate a second set of annotations is determined, based on a correlation of the annotations and metadata. A relational database is populated with the enrichment analysis data. A corpus-scoped query is resolved, initiated by an application, using the enrichment analysis data and content of the corpus.

Abstract: Corpus-scoped annotation and analysis. Enrichment analysis data is generated including annotations and metadata for a plurality of documents that are part of a corpus. Whether to generate a second set of annotations is determined, based on a correlation of the annotations and metadata. A relational database is populated with the enrichment analysis data. A corpus-scoped query is resolved, initiated by an application, using the enrichment analysis data and content of the corpus.

Abstract: Corpus-scoped annotation and analysis. Enrichment analysis data is generated including annotations and metadata for a plurality of documents that are part of a corpus. Whether to generate a second set of annotations is determined, based on a correlation of the annotations and metadata. A relational database is populated with the enrichment analysis data. A corpus-scoped query is resolved, initiated by an application, using the enrichment analysis data and content of the corpus.

Abstract: Method, system, and computer program product to analyze a plurality of candidate answers identified as responsive to a question presented to a deep question answering system, by computing a first feature score for a first feature of an item of evidence, of a plurality of items of evidence, the first feature score being based on at least one attribute of the first feature, the item of evidence relating to a first candidate answer, of the plurality of candidate answers, and computing a merged feature score for the first candidate answer by applying the first feature score to a second feature score for a second feature of the item of evidence.

Abstract: Method, system, and computer program product to analyze a plurality of candidate answers identified as responsive to a question presented to a deep question answering system, by computing a first feature score for a first feature of an item of evidence, of a plurality of items of evidence, the first feature score being based on at least one attribute of the first feature, the item of evidence relating to a first candidate answer, of the plurality of candidate answers, and computing a merged feature score for the first candidate answer by applying the first feature score to a second feature score for a second feature of the item of evidence.

Abstract: A system and computer implemented method for generating a set of inferred questions for a question answering system is disclosed. The method may include determining, based on context data, a user state. The method may also include extracting characterization information for an object satisfying an attention criteria. The characterization information may be configured to include sensory data. The method may also include determining a relationship between the object and the user state based on the characterization information for the object and the context data of the user state. The method may also include generating, based on the relationship between the object and the user state, a set of inferred questions for a question answering system.

Abstract: Evaluating candidate answers to questions in a target knowledge domain, including: identifying, by a question answering module, a plurality of evidence items in the target knowledge domain; identifying, by the question answering module, a plurality of answers to questions in the target knowledge domain; determining, by the question answering module, associations between each evidence item and one or more of the answers; receiving, by the question answering module, a question; receiving, by the question answering module, values for the one or more evidence items; and providing, by the question answering module, an answer to the question in dependence upon the associations between each evidence item and one or more of the answers and the values for the one or more evidence items.

Abstract: Techniques are disclosed for modeling costs when editing a workflow process model. A request may be received to assign a cost factor to a workflow process step of the workflow process model. Responsive to the request, the cost factor may be assigned to the workflow process step, such that a traversal of the workflow process step by a transaction invoking the workflow process model results in the cost factor being included in a total cost to be charged for executing the transaction.

Abstract: Administering a business transaction, including: receiving a request for a business transaction, the request containing data to be processed by the business transaction and metadata describing the data and the request; creating, in dependence upon classification rules, the data to be processed by the business transaction, and the metadata describing the data and the request, a business object representing the business transaction; selecting, in dependence upon workflow selection rules and attributes of the business object, one or more workflows to process the data to be processed by the business transaction; processing the data to be processed by the business transaction with the workflows, thereby creating a resultant business object and resultant data; and routing, in dependence upon content routing rules and the attributes of the resultant business object, the resultant data to a destination.

Abstract: Method, system, and computer program product to analyze a plurality of candidate answers identified as responsive to a question presented to a deep question answering system, by computing a first feature score for a first feature of an item of evidence, of a plurality of items of evidence, the first feature score being based on at least one attribute of the first feature, the item of evidence relating to a first candidate answer, of the plurality of candidate answers, and computing a merged feature score for the first candidate answer by applying the first feature score to a second feature score for a second feature of the item of evidence.

Abstract: Method, system, and computer program product to analyze a plurality of candidate answers identified as responsive to a question presented to a deep question answering system, by computing a first feature score for a first feature of an item of evidence, of a plurality of items of evidence, the first feature score being based on at least one attribute of the first feature, the item of evidence relating to a first candidate answer, of the plurality of candidate answers, and computing a merged feature score for the first candidate answer by applying the first feature score to a second feature score for a second feature of the item of evidence.

Abstract: Evaluating candidate answers to questions in a target knowledge domain, including: identifying, by a question answering module, a plurality of evidence items in the target knowledge domain; identifying, by the question answering module, a plurality of answers to questions in the target knowledge domain; determining, by the question answering module, associations between each evidence item and one or more of the answers; receiving, by the question answering module, a question; receiving, by the question answering module, values for the one or more evidence items; and providing, by the question answering module, an answer to the question in dependence upon the associations between each evidence item and one or more of the answers and the values for the one or more evidence items.

Abstract: Techniques are disclosed for modeling costs when editing a workflow process model. A request may be received to assign a cost factor to a workflow process step of the workflow process model. Responsive to the request, the cost factor may be assigned to the workflow process step, such that a traversal of the workflow process step by a transaction invoking the workflow process model results in the cost factor being included in a total cost to be charged for executing the transaction.

Abstract: Embodiments of the invention are generally related to graphical user interfaces (GUIs), and more specifically to selecting items from a radial menu. More specifically, embodiments of the invention provide a complex set of gestures which, when performed using a screen pointer, facilitate fast and accurate selection of radial menu items from a radial menu. The gestures may generally involve a first movement of the screen pointer to activate a desired radial menu item, and a second predefined movement of the screen pointer to select the radial menu item.

Abstract: Methods, systems, and articles of manufacture for placing menu items in a cascading radial menu. A cascading radial menu may be displayed upon receiving a gesture that causes a screen pointer to select a radial menu item in a first radial menu. The first radial menu item may be associated with a second radial menu. One or more second radial menu items may be placed in the second radial menu based on a direction of movement of the screen pointer in the gesture to select the radial menu item in the first radial menu.