Abstract: A method, a structure, and a computer system for resolving an anaphora. The exemplary embodiments may include extracting individual context data from an individual expression and determining whether the individual expression includes an anaphora representation based on the individual context data. The exemplary embodiments may further include, based on determining that the individual expression includes the anaphora representation, extracting anaphora context data and identifying an object of one or more objects to which the anaphora representation refers based on comparing the individual context data and the anaphora context data to data detailing the one or more objects.

Abstract: Embodiments are disclosed for a method for ordering search results. The method includes identifying a plurality of archived search results generated by a keyword search. The method also includes searching a plurality of indices of a plurality of corresponding tape libraries comprising a plurality of tapes storing the archived search results. The method additionally includes determining a plurality of estimated access times corresponding to the archived search results based on the indices. Further, the method includes sorting the archived search results based on the estimated access times to create a time-based order.

Abstract: Facet-based search processing is provided which includes receiving a query search context for querying documents of a document set, and retrieving, by similar document search processing, a document subset from the document set. The document subset includes documents of the set most similar to a search document of the query search context. Facet analysis processing is used to generate M candidate facets most-related to the query search context, and facets of the M candidate facets associated with documents of the subset are identified, and classified into a positive facet set and a negative facet set based, at least in part, on extent of facet commonality across the documents. A listing is of the documents in the document subset is provided, with the listing highlighting facets of the positive facet set.

Abstract: A system comprises a display unit; an input device configured to receive user input; and a processing unit communicatively coupled to the display unit and the input device. The processing unit is configured to cause the display unit to display a plurality of lines of natural language text on the display unit together with corresponding annotations including a plurality of relation lines. The processing unit is further configured to adjust spacing between each of the plurality of lines of natural language text based on the corresponding annotations.

Abstract: A system, computer program product, and method are provided to selectively index one or more subsets of documents or files. As data is extracted from a document or file, extracted text is organized into data portions and subject to evaluations. Meta characteristic data is leveraged to assess the extracted text. One or more subsets of the organized data portions are selectively identified and subject to enrichment processing, which creates and returns enriched and indexed subsets of the documents or files.

Abstract: A method, computer program product and computer system are provided to promote device usage compliance. A processor retrieves a current position for a device. A processor determines at least one nearby location based on the current position of the device. A processor retrieves search data regarding the at least one nearby location. A processor determines compliance information regarding the at least one location based, at least in part, on the search data. A processor configures the device based on the compliance information regarding the at least one location.

Abstract: Time dependent media (TDM) content is received, and text features and non-text features are extracted from the TDM content. The TDM content is split into two or more documents. A document, which includes non-text features from the extracted non-text features, is selected. Non-text features in the document are compared to context patterns. When a context pattern matches a non-text feature in the document, a context element linked to the context pattern is linked to the non-text feature as well. The TDM content is modified based on the context element.

Abstract: Embodiments are directed to a system, computer program product, and method for text mining, and dynamic facet and facet value management and application to a document collection. Two or more words from a first document collection are extracted, with the extracted words being associated with an applied annotation. At least one word is selected from the extracted words, designated as a facet, and a value is selectively added to the facet. An analysis of the added value is dynamically performed, and a dictionary with the annotation, facet, and values is constructed and the dictionary is applied to the document collection. A targeted list of documents is returned from the dictionary application to the document collection.

Abstract: A system, computer program product, and method are provided to selectively index one or more subsets of documents or files. As data is extracted from a document or file, extracted text is organized into data portions and subject to evaluations. Meta characteristic data is leveraged to assess the extracted text. One or more subsets of the organized data portions are selectively identified and subject to enrichment processing, which creates and returns enriched and indexed subsets of the documents or files.

Abstract: Embodiments are directed to a system, computer program product, and method for dynamic facet dictionary management. As one or more annotations are applied to a document collection, electronic text and associated facets are identified. Additional facets and facet values are identified and selectively applied to a knowledge base. A dictionary comprised of facets and associated facet values is constructed from the selective application. Application of the dictionary to the knowledge base identifies and returns a targeted document collection. Accordingly, facet mining and dictionary construction are dynamically applied to the knowledge base.

Abstract: In an embodiment of the present invention, a figure is received, where the figure is created by a user. One or more entities are received in the figure. In response to receiving the one or more entities in the figure, the one or more entities are arranged in the figure according to a protocol.

Abstract: A system comprises a display unit; an input device configured to receive user input; and a processing unit communicatively coupled to the display unit and the input device. The processing unit is configured to cause the display unit to display a plurality of lines of natural language text on the display unit together with corresponding annotations including a plurality of relation lines. The processing unit is further configured to adjust spacing between each of the plurality of lines of natural language text based on the corresponding annotations.

Abstract: A system comprises a display unit; an input device configured to receive user input; and a processing unit communicatively coupled to the display unit and the input device. The processing unit is configured to cause the display unit to display a plurality of lines of natural language text on the display unit together with corresponding annotations including a plurality of relation lines. The processing unit is further configured to adjust spacing between each of the plurality of lines of natural language text based on the corresponding annotations.

Abstract: In an approach to rule and dictionary creation based on an improvement cycle, a computing device receives a corpus, wherein the corpus comprises textual data. The computing device stores, in a rule database, a rule based on a user input. The computing device stores, in a dictionary, one or more words based on the corpus. The computing device updates one or more of the rule database and the dictionary based on an improvement cycle comprising user selections from system-generated recommendations.

Abstract: An aspect includes extracting a color scheme of a page written in a markup language. A content portion from the page is nonvisualized, a subtractive process is applied to the page with the content portion having been nonvisualized, and a color scheme is extracted from the page to which the subtractive process has been applied.

Abstract: Embodiments are directed to a system, computer program product, and method for dynamic facet dictionary management. As one or more annotations are applied to a document collection, electronic text and associated facets are identified. Additional facets and facet values are identified and selectively applied to a knowledge base. A dictionary comprised of facets and associated facet values is constructed from the selective application. Application of the dictionary to the knowledge base identifies and returns a targeted document collection. Accordingly, facet mining and dictionary construction are dynamically applied to the knowledge base.

Abstract: An aspect includes extracting a color scheme of a page written in a markup language. A content portion from the page is nonvisualized, a subtractive process is applied to the page with the content portion having been nonvisualized, and a color scheme is extracted from the page to which the subtractive process has been applied.

Abstract: An aspect includes extracting a color scheme of a page written in a markup language. A content portion from the page is nonvisualized, a subtractive process is applied to the page with the content portion having been nonvisualized, and a color scheme is extracted from the page to which the subtractive process has been applied.

Abstract: In a solder alloy consisting essentially of tin, silver, copper, bismuth, antimony, indium, and nickel, the content ratio of the silver is 0.05 mass % or more and below 0.2 mass %; the content ratio of the copper is 0.1 mass % or more and 1 mass % or less; the content ratio of the bismuth is above 4.0 mass % and 10 mass % or less; the content ratio of the antimony is 0.005 mass % or more and 8 mass % or less; the content ratio of the indium is 0.005 mass % or more and 2 mass % or less; the content ratio of the nickel is 0.003 mass % or more and 0.4 mass % or less; and the content ratio of the tin is the remaining ratio and the mass ratio (Bi/Ni) of the bismuth content with respect to the nickel content is 35 or more and 1500 or less.

Abstract: In a solder alloy consisting essentially of tin, silver, copper, bismuth, antimony, indium, nickel and an additional element, the content ratios of the silver, the copper, the bismuth, the antimony, the indium, the nickel and the additional element, which is at least one of germanium, gallium, iron or phosphorus, are defined, the content ratio of the tin is the remaining ratio, and the mass ratio (Bi/Ni) of the bismuth content with respect to the nickel content is 35 or more and 1500 or less. In a further embodiment, the solder alloy additionally contains a defined amount of cobalt.