Abstract: Embodiments of the present invention include generating a facet tree based on words found in one or more documents, the facet tree being a tree data structure that defines hierarchical relationships between a plurality of words. The method may further include calculating a degree of similarity between a first word and a second word based on similarity of usage of the first word and the second word in the one or more documents, and generate a facet tree based on the degree of similarity. The method may further include, for each of one or more candidate words in the one or more documents, calculating a degree of correlation between a co-occurrence of two or more existing facet tree entries in a document and an occurrence of the candidate word in the document, and updating the facet tree on the basis of the one or more degrees of correlation.

Abstract: Facet-based query refinement based on multiple query interpretations is provider through a process that includes receiving a query for querying documents, of a whole document set, that deviate by one or more facet values. The process generates different query interpretations from query text of the query. The process executes the different query interpretations to obtain resulting document sets. For each different query interpretation, the executing executes the query interpretation to obtain a resulting document set corresponding to that query interpretation, and identifies facet values represented in the resulting document set. The process builds and presents to a user a query refinement interface, presenting the different query interpretations and properties of the resulting document sets, as well as, for each of the one or more facet values, and relative to each other, facet value representation of the facet value in each of the resulting document sets.

Abstract: Embodiments of the present invention include generating a facet tree based on words found in one or more documents, the facet tree being a tree data structure that defines hierarchical relationships between a plurality of words. The method may further include calculating a degree of similarity between a first word and a second word based on similarity of usage of the first word and the second word in the one or more documents, and generate a facet tree based on the degree of similarity. The method may further include, for each of one or more candidate words in the one or more documents, calculating a degree of correlation between a co-occurrence of two or more existing facet tree entries in a document and an occurrence of the candidate word in the document, and updating the facet tree on the basis of the one or more degrees of correlation.

Abstract: Facet-based query refinement based on multiple query interpretations is provider through a process that includes receiving a query for querying documents, of a whole document set, that deviate by one or more facet values. The process generates different query interpretations from query text of the query. The process executes the different query interpretations to obtain resulting document sets. For each different query interpretation, the executing executes the query interpretation to obtain a resulting document set corresponding to that query interpretation, and identifies facet values represented in the resulting document set. The process builds and presents to a user a query refinement interface, presenting the different query interpretations and properties of the resulting document sets, as well as, for each of the one or more facet values, and relative to each other, facet value representation of the facet value in each of the resulting document sets.

Abstract: Embodiments of the present invention include dynamically updating a facet tree based on words found in one or more documents, the facet tree being a tree data structure that defines hierarchical relationships between a plurality of words. The method may further include calculating a degree of similarity between a first word and a second word based on similarity of usage of the first word and the second word in the one or more documents, and updating the facet tree based on the degree of similarity. The method may further include, for each of one or more candidate words in the one or more documents, calculating a degree of correlation between a co-occurrence of two or more existing facet tree entries in a document and an occurrence of the candidate word in the document, and updating the facet tree on the basis of the one or more degrees of correlation.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to cause the at least one processor to implement a document analysis device for performing a statistical analysis of documents with respect to a facet. An acceptance module accepts a natural language sentence. An extraction module extracts a first facet from the natural language sentence. A statistical analysis module performs a first statistical analysis of a set of documents with respect to the first facet and determines a value of the first facet based on a result of the first statistical analysis responsive to information being extracted from the natural language sentence, the information requesting for a second statistical analysis. The statistical analysis module performs the second statistical analysis of the set of documents using the value of the first facet.

Abstract: A display control apparatus includes an acquiring unit that acquires object information to be displayed on a screen; a storing unit that stores the acquired object information, time information, and a priority related to a display of an object corresponding to the acquired object information while associating the acquired object information, the time information, and the priority for each acquired object information; and a display controlling unit that controls a display position of the object based on the time information and the priority associated with the object information when the object is displayed on a screen.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to cause the at least one processor to implement a document analysis device for performing a statistical analysis of documents with respect to a facet. An acceptance module accepts a natural language sentence. An extraction module extracts a first facet from the natural language sentence. A statistical analysis module performs a first statistical analysis of a set of documents with respect to the first facet and determines a value of the first facet based on a result of the first statistical analysis responsive to information being extracted from the natural language sentence, the information requesting for a second statistical analysis. The statistical analysis module performs the second statistical analysis of the set of documents using the value of the first facet.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to cause the at least one processor to implement a document analysis device for performing a statistical analysis of documents with respect to a facet. An acceptance module accepts a natural language sentence. An extraction module extracts a first facet from the natural language sentence. A statistical analysis module performs a first statistical analysis of a set of documents with respect to the first facet and determines a value of the first facet based on a result of the first statistical analysis responsive to information being extracted from the natural language sentence, the information requesting for a second statistical analysis. The statistical analysis module performs the second statistical analysis of the set of documents using the value of the first facet.

Abstract: An information processing apparatus includes a text mining section configured to perform text mining on text data acquired from the outside and to output extracted information; an identification section configured to search a development database storing elements constituting a product and the relationship among the elements by using the information extracted by text mining to identify an element related to the information; and a notification section configured to notify the identified element to a user, a program for use in the information processing apparatus.

Abstract: Embodiments of the present invention include dynamically updating a facet tree based on words found in one or more documents, the facet tree being a tree data structure that defines hierarchical relationships between a plurality of words. The method may further include calculating a degree of similarity between a first word and a second word based on similarity of usage of the first word and the second word in the one or more documents, and updating the facet tree based on the degree of similarity. The method may further include, for each of one or more candidate words in the one or more documents, calculating a degree of correlation between a co-occurrence of two or more existing facet tree entries in a document and an occurrence of the candidate word in the document, and updating the facet tree on the basis of the one or more degrees of correlation.

Abstract: Provided is a search system and a search method to find a document among documents of a search result. This search system includes a division unit that divides a document to be searched into a plurality of blocks in accordance with designated division information, a calculation unit that calculates a hash value of each block by applying a hash function to a character string included in each block, a storage unit that stores the calculated hash value together with positional information on the block in the document, and a document grouping unit that fetches, for each document obtained by searching based on the search word, a corresponding hash value from the storage unit in accordance with positional information on a block including the search word to group documents having the same hash value into one group and output the grouped documents as the search result.

Abstract: A display control apparatus includes an acquiring unit that acquires object information to be displayed on a screen; a storing unit that stores the acquired object information, time information, and a priority related to a display of an object corresponding to the acquired object information while associating the acquired object information, the time information, and the priority for each acquired object information; and a display controlling unit that controls a display position of the object based on the time information and the priority associated with the object information when the object is displayed on a screen.

Abstract: A computer is disclosed that performs a land boundary display process. The computer executes an imaging process when an imaging request is detected. The computer specifies an imaging range based on a location, an imaging orientation and an elevation angle of a terminal apparatus when the imaging process is executed. Also, the computer specifies an area corresponding to a plot of land in a captured imaged based on the imaging range being specified. After that, the computer reads out boundary line information of the plot of land corresponding to latitude and longitude information from a storage part, and generates an image by overlapping an area corresponding to the plot of land being specified with the boundary line information being read out. Then, the computer displays the image at a display device.

Abstract: An information processing apparatus includes a text mining section configured to perform text mining on text data acquired from the outside and to output extracted information; an identification section configured to search a development database storing elements constituting a product and the relationship among the elements by using the information extracted by text mining to identify an element related to the information; and a notification section configured to notify the identified element to a user, a program for use in the information processing apparatus.

Abstract: The present invention provides a search system and a search method to make it easy to find out a document required truly among documents of a search result. This search system includes a division unit that divides a document to be searched into a plurality of blocks in accordance with designated division information, a calculation unit that calculates a hash value of each block by applying a hash function to a character string included in each block, a storage unit that stores the calculated hash value together with positional information on the block in the document, and a document grouping unit that fetches, for each document obtained by searching based on the search word, a corresponding hash value from the storage unit 545 in accordance with positional information on a block including the search word to group documents having the same hash value into one group and output the grouped documents as the search result.

Abstract: Ferrous group shape memory alloys consisting essentially of Cr: 16.0-21.0 wt %, Si: 3.0-7.0 wt % and Ni: 11.0-21.0 wt % and satisfying Ni wt %.gtoreq.[0.67.times.{Cr+1.2.times.(Si+Ti+Zr+Hf+V+Nb+Ta)}-] wt % and (Cr+Si) wt %.gtoreq.20 wt %, these ferrous-group shape-memory alloys having a corrosion resistance, a shape-memorizing properties, an intergranular corrosion resistance and a stress corrosion cracking resistance in nitric acid for nuclear fuel reprocessing plants and high-temperature, high-pressure water for light-water reactors.

Abstract: An iron-based shape-memory alloy excellent in a shape-memory property, a corrosion resistance and a high-temperature oxidation resistance, consisting essentially of:chromium: from 5.0 to 20.0 wt. %,silicon: from 2.0 to 8.0 wt. %,at least one element selected from the group consisting of:manganese: from 0.1 to 14.8 wt. %,nickel: from 0.1 to 20.0 wt. %,cobalt: from 0.1 to 30.0 wt. %,copper: from 0.1 to 3.0 wt. %, andnitrogen: from 0.001 to 0.400 wt. %,whereNi+0.5 Mn+0.4 Co+0.06 Cu+0.002 N.gtoreq.0.67 (Cr+1.2 Si)-3,and the balance being iron and incidental impurities.

Abstract: An iron-based shape-memory alloy excellent in a shape-memory property and a corrosion resistance, consisting essentially of:______________________________________ chromium: from 0.1 to 5.0 wt. %, silicon: from 2.0 to 8.0 wt. %, manganese: from 1.0 to 14.8 wt. %, at least one element selected from the group consisting of: nickel: from 0.1 to 20.0 wt. %, cobalt: from 0.1 to 30.0 wt. %, copper: from 0.1 to 3.0 wt. %, and nitrogen: from 0.001 to 0.400 wt. %, where, Ni + 0.5 Mn + 0.4 Co + 0.06 Cu + 0.002 N .gtoreq. 0.67 (Cr + 1.2 Si), and the balance being iron and incidental impurities.