| Patent application number | Description | Published |
|---|
| 20140289173 | AUTOMATICALLY GENERATING AN ONTOLOGY AND AXIOMS FROM A BUSINESS-PROCESS MODEL - A method and associated systems for automatically generating an ontology and a set of axioms from a business-process model that represents the operations of a business. This ontology and set of axioms may be used to create the knowledgebase of an artificially intelligent expert system that emulates the business operations. A processor parses a representation of business processes stored in the business-process model, deriving a set of axioms and a set of entity classes from the parsed data. The processor uses these axioms and classes to identify concept nodes and process nodes, which it organizes into the ontology of the knowledgebase. The processor further identifies information derived from the parsed data to create a set of triple data items, each of which represents the information represented by one or more of the derived axioms. These triples are stored in the knowledgebase as a triple store data structure. | 09-25-2014 |
| 20140377735 | Caching Natural Language Questions and Results in a Question and Answer System - Mechanisms are provided for answering an input question. An input question to be answered from a source is received and processed to one or more extract features of the input question. The extracted one or more features are compared to cached features stored in one or more entries of a question and answer (QA) cache. A determination is made as to whether there is a matching entry in the one or more entries of the QA cache based on results of the comparing and, if so, candidate answer information is retrieved from the matching entry. The retrieved candidate answer information is returned to the source of the input question as candidate answer information for answering the input question. | 12-25-2014 |
| 20140379666 | Error Correction in Tables Using Discovered Functional Dependencies - Mechanisms are provided for performing tabular data correction in a document. Tabular data is received and analyzed to identify at least one portion of the tabular data having an erroneous/missing data value. A functional dependency of the at least one portion of the tabular data on one or more other portions of the tabular data is determined. A correct data value for the erroneous or missing data value of the at least one portion of the tabular data is determined based on the functional dependency of the at least one portion. In addition, the tabular data is modified to replace the erroneous or missing data value with the correct data value and thereby generate a modified table data. A processing operation is then performed on the modified table data to generate a resulting output. | 12-25-2014 |
| 20150044660 | Caching Natural Language Questions and Results in a Question and Answer System - Mechanisms are provided for answering an input question. An input question to be answered from a source is received and processed to one or more extract features of the input question. The extracted one or more features are compared to cached features stored in one or more entries of a question and answer (QA) cache. A determination is made as to whether there is a matching entry in the one or more entries of the QA cache based on results of the comparing and, if so, candidate answer information is retrieved from the matching entry. The retrieved candidate answer information is returned to the source of the input question as candidate answer information for answering the input question. | 02-12-2015 |
| 20150046785 | Error Correction in Tables Using Discovered Functional Dependencies - Mechanisms are provided for performing tabular data correction in a document. Tabular data is received and analyzed to identify at least one portion of the tabular data having an erroneous/missing data value. A functional dependency of the at least one portion of the tabular data on one or more other portions of the tabular data is determined. A correct data value for the erroneous or missing data value of the at least one portion of the tabular data is determined based on the functional dependency of the at least one portion. In addition, the tabular data is modified to replace the erroneous or missing data value with the correct data value and thereby generate a modified table data. A processing operation is then performed on the modified table data to generate a resulting output. | 02-12-2015 |
| 20150081281 | Using Renaming Directives to Bootstrap Industry-Specific Knowledge and Lexical Resources - Mechanisms are provided for generating a lexical resource for linguistic analysis. A document data structure is received that comprises a renaming directive and filter logic is applied to the document data structure to identify the renaming directive within the document data structure. The renaming directive is analyzed to identify a relationship between semantic concepts represented by the renaming directive that are to be used to update a lexical resource based on the renaming directive. The lexical resource is updated based on results of analyzing the renaming directive. The updated lexical resource is output to a linguistic analysis system which performs linguistic analysis of a portion of textual content based on the updated lexical resource. | 03-19-2015 |
| 20150081714 | Active Knowledge Guidance Based on Deep Document Analysis - An approach is provided for an information handling system to present knowledge-based information. In the approach, a semantic analysis is performed on the document with the analysis resulting in various sets of semantic content. Each of the sets of semantic content corresponds to an area in the document. The areas of the document are visually highlighted using visual indicators that show the availability of the sets of semantic content to a user via a user interface. In response to a user selection, such as a selection using the user interface or a user specified configuration setting, a selected set of semantic content is displayed to the user using the interface. | 03-19-2015 |
| 20150082161 | Active Knowledge Guidance Based on Deep Document Analysis - An approach is provided for an information handling system to present knowledge-based information. In the approach, a semantic analysis is performed on the document with the analysis resulting in various sets of semantic content. Each of the sets of semantic content corresponds to an area in the document. The areas of the document are visually highlighted using visual indicators that show the availability of the sets of semantic content to a user via a user interface. In response to a user selection, such as a selection using the user interface or a user specified configuration setting, a selected set of semantic content is displayed to the user using the interface. | 03-19-2015 |
